Last week, we announced a public preview of Amazon Bedrock Managed Agents powered by OpenAI, built on a customized version of OpenAI’s Agents API engineered to be AWS-native and integrated with AWS resources. You can now build agents optimized for OpenAI models that run entirely inside AWS with the identities, permissions, and governance controls you already use.

You can choose an execution environment: self-hosted compute to use an existing development machine, container, or compute environment or Amazon Bedrock AgentCore Runtime, for managed runtime sessions and configurable storage in your AWS account. To learn more, visit the Amazon Bedrock documentation.

In addition, we are adding new frontier models on Amazon Bedrock to expand your model choices:

• OpenAI GPT-6.1 Sol: An upgrade to GPT-6 Sol, GPT-6.1 Sol delivers exceptionally strong performance on agentic coding, computer use, and professional work. According to OpenAI, it approaches GPT-6 Astra across demanding evaluations at roughly one-fifth of the cost, giving developers more room to build and run capable agents at scale. To learn more, visit the GPT-6.1 Sol model card.
• OpenAI GPT-6 Astra UltraFast mode: Ultrafast is a premium speed tier for GPT-6 Astra, built for workloads where speed matters most. According to OpenAI, Ultrafast delivers up to 6x faster inference in the API, with up to 300 tokens per second. The Amazon Bedrock inference engine delivers the performance, security, and reliability required for production workloads. To learn more, visit the GPT-6 Astra model card.
• Anthropic Claude Sonnet 5.5: Claude Sonnet 5.5 is a smarter, more efficient Sonnet and a step up from Sonnet 5, making it a natural upgrade for teams already building on Sonnet. It’s stronger for coding, completing well-scoped tasks as part of a larger coding strategy such as building and fixing features with Claude in the same session or verifying output against requirements. To learn more, visit the Claude Sonnet 5.5 model card.
• SpaceXAI Grok 4.7: Grok 4.7 builds on Grok 4.6 with better mixed-document handling, more dependable repo-scale coding with planning and error recovery, and enhanced browser-use agents for form fills and portal navigation. To learn more, visit the Grok 4.7 model card.

Last week’s launches
Here are some launches that got my attention:

• AWS Well-Architected Agent (preview): You can use an AI-powered agent service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications’ cost, security, performance, and resilience. The agent analyzes your infrastructure, understands your unique business goals, and delivers contextual recommendations.
• Amazon Aurora PostgreSQL supports direct querying of Apache Iceberg and Parquet data: You can directly query operational data together with data stored in data lakes in Apache Iceberg and Parquet formats using your existing PostgreSQL applications and tools, without extract, transform, and load (ETL) pipelines or data duplication.
• Amazon S3 Tables support all Apache Iceberg V3 data types: Amazon S3 Tables add support for geometry, geography, unknown, and nanosecond timestamp data types, along with column default values, as defined in the Iceberg V3 specification. You can now store geospatial coordinates and nanosecond-precision event times natively instead of encoding them in strings or integers.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

AWS service availability updates
When the availability of an AWS service or feature changes, we provide customers guidance in AWS Product Lifecycle Changes on available alternatives and support for migration so that disruptions to your operations are minimized. The following lifecycle changes were updated on September 29, 2026.

Services moving to Maintenance (no longer accessible to new customers starting October 29, 2026):

Services entering Sunset:

Services reaching End of Support (as of September 29, 2026):

• Amazon Mechanical Turk

We understand that changes in availability can impact your operations. For specific guidance, consult the relevant service documentation or contact AWS Support.

Other AWS news
Here are some additional projects and news items you may find interesting:

• Introducing Kiro workflows: Kiro workflows enable you to carry out complex tasks from start to finish with multiple agents and less supervision. We’ve been building Kiro itself with workflows, including the new cloud configuration, cloud sessions, and most of the workflow experience.
• Introducing Strands Decider: Strands Decider is one of a new class of decision models or system one models, a type of model that has been gaining significant attention since TypeSafe AI’s launch of Jev earlier this month. Strands Decider 2B is a small, open source, decision model optimized for fast experimentation, local development, and innovation.
• New FDE pathways for AWS Partners: On June 30, AWS announced the Forward Deployed Engineering (FDE) organization, backed by a $1 billion investment, and extended this hands-on delivery approach to AWS Partners through the Partner-Led FDE motion. Now, AWS Partners have a structured way to build and validate that depth with three new Partner FDE pathways and credentials that recognize the applied proficiency required to deliver production agentic AI.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Learn more about AWS, browse and join upcoming AWS-led in-person and virtual events, startup events, and developer-focused events, including upcoming AWS re:Invent and AWS Community Days. Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development.

That is all for this week. Check back next Monday for another Weekly Roundup!

— Channy

The post AWS Weekly Roundup: Amazon Bedrock Managed Agents powered by OpenAI, Q3 service availability updates, Kiro workflows, and more (October 5, 2026) appeared first on The NOKIA Blog.

Today, we’re announcing the public preview of AWS Well-Architected Agent, an AI-powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications’ cost, security, performance, and resilience. The AWS Well-Architected Agent analyzes your infrastructure, understands unique business goals, and delivers contextual recommendations with ready-to-implement fixes. It delivers context-aware optimization without relying on manual audits or generic checklists.

The agent evaluates your environment as an experienced cloud architect would. It automatically correlates utilization metrics, resource configurations, and application topology, and analyzes against Well-Architected best practices across 65+ AWS services. It generates recommendations aligned to your declared business goals, delivers implementation packages with every finding, and surfaces cross-pillar trade-offs making it simpler to remediate the findings.

Here are the three main features of this service:

• Goal-aligned intelligence: AWS Well-Architected Agent replaces flat, undifferentiated findings with context-aware, prioritized recommendations. You declare your business objectives and share your application context. The agent automatically generates and prioritizes recommendations by impact and effort against those goals.
• Three-level recommendations: AWS Well-Architected Agent provides individual resource findings with specific dollar impact (where applicable) and step-by-step remediation, consolidated findings across multiple resources scoped to your application, and broad architectural patterns and designs with Infrastructure as Code (IaC) code changes needed to align with Well-Architected best practices.
• Optionality in remediation: You can choose your path on how you want to remediate with a complete implementation steps tailored to your environment: the console walk-throughs, updated IaC changes for architecture-level recommendations, and AWS Command Line Interface (AWS CLI) commands.

AWS Well-Architected Agent in action
To get started, create an agent profile to define the scope of what Well-Architected Agent can access and provide recommendations on, complete the IAM role setup to access resources, conduct architecture review, and remediate recommendations.

Create an agent profile
In the AWS Well-Architected console, choose Get started with Well-Architected Agent. You can define an agent profile that specifies which AWS accounts and applications to monitor, which optimization pillars to focus on, and the permissions required.

You can choose AWS accounts or AWS Regions to monitor and optimization pillars that matter most to your business. You can also set goals for each pillar: cost optimization, performance, resilience, and security.

To give access to the agent for your AWS environment, provision customer-managed IAM roles the agent uses to read resource configurations, utilization metrics, and application topology. To learn more, visit the IAM prerequisite for AWS Well-Architected Agent.

When you choose Get Started, the agent creates your agent profile. Resource and application recommendations will be generated within 24 hours after profile creation.

You can conduct an architecture review on pre-deployment workloads by uploading an IaC project in Terraform, AWS CloudFormation, or AWS Cloud Development Kit (CDK) to be analyzed. Choose Conduct architecture review in the dashboard, upload a.zip file containing IaC project or repository file, and select which Well-Architected lens to use for reviewing your infrastructure.

You can define your applications to add context which will enhance the relevancy and further contextualize recommendations. Choose Add application context in the dashboard, add your applications with AWS accounts, AWS Regions, AWS services, tags if you want to narrow the scope to specific resources, and the details of applications.

Review prioritized recommendations and start remediating
Now you can see generated prioritized recommendations generated by the agent across your resources and applications, selected pillars, ranked against your declared goals, with automation-ready remediation included.

When you choose the specific recommendation, you can see the details, insights into why the agent are suggesting the recommendation, impacts and trade-off, and recommended fixes across affected AWS resources.

Choose Start remediation to address recommended fixes. You can choose the console, updated IaC template, CLI commands to remediate by the resolution type. It provides detailed step-by-step instructions and you can roll out this instruction and verify the result.

When you choose Using updated IaC template, the agent provides the code changes needed to update your existing IaC templates such as the CDK function shown above which you can copy directly into your codebase.

You can also configure API access to integrate recommendations directly into your existing development and operations workflows. To interact with the agent programmatically, including calling APIs and searching documentation, try the AWS MCP Server and plugins with your preferred AI coding tool. To learn more, visit the AWS Well-Architected Agent documentation.

Things to know
Here are some things that you should know about the Well-Architected Agent.

• Automation: You can receive recommendations with the exact IaC code changes needed to remediate, with risks identified by pillar, catching issues before they reach production. Recommendations are delivered through the console and API so you can act without context-switching. Recommendations are also updated periodically, so new recommendations are available for your team to track regularly.
• Evaluation: Generative AI capabilities produce this recommendation, which may contain errors or incomplete information. You are responsible for evaluating the recommendation in your specific context and implementing appropriate oversight and safeguards. Learn more about AWS Responsible AI practices.

You can still use existing AWS Well-Architected Tool to manually evaluate your cloud architecture with user-defined lenses that measure your workload using your own best practices.

Join the preview
Access to the AWS Well-Architected Agent and its recommendations is available in US East (N. Virginia), US East (Ohio), and US West (Oregon). You can onboard workloads from any AWS commercial Region. AWS Well-Architected Agent is delivered by AWS Support and available to AWS customers with an AWS Support plan.

Give it a try today in the AWS Well-Architected console and send feedback through your usual AWS Support contacts.

— Channy

The post Announcing AWS Well-Architected Agent, an AI-powered intelligence to optimize your cloud environment (preview) appeared first on The NOKIA Blog.

Amazon S3 Tables now support all data types in the Apache Iceberg V3 specification. You can create V3 tables or upgrade existing V2 tables to take advantage of V3 features like deletion vectors, row lineage, and new data types such as variant, nanosecond timestamps, unknown, geometry, and geography.

Apache Iceberg has become the open standard for managing large analytics datasets. It lets you manage petabyte-scale tables with features like schema evolution, hidden partitioning, and time travel queries, while keeping your data in open Parquet files in data lakes on object storage like Amazon S3. Amazon S3 Tables offer storage purpose-built to keep Iceberg tables performant and cost-effective as they grow, with fully managed features like automatic compaction, maintenance, replication, and Intelligent-Tiering.

Teams running analytics on Apache Iceberg V2 tables often hit the same limits as their data grows. A compliance request to delete 50,000 user records from a 2-billion-row table leaves behind positional delete files that slow queries until compaction runs. Semi-structured events land as JSON strings that every query has to parse. Geospatial coordinates and nanosecond-precision timestamps get encoded as strings or integers. Each workaround adds storage cost, query latency, and pipeline code. With V3, Iceberg solves these challenges by offering native support for semi-structured and geospatial data, faster row-level operations, and built-in row lineage for data governance.

Starting today, Amazon S3 Tables support all V3 data types, including variant, nanosecond timestamps, geometry, geography, and unknown, along with deletion vectors and row lineage. You can create new V3 tables or upgrade existing V2 tables in place, and S3 Tables continue to run compaction and maintenance for you.

Apache Iceberg V3
V3 is the latest version of the Iceberg specification. Among its many improvements, V3 introduces capabilities that address the most common pain points in V2. This includes:

Deletion vectors replace V2’s positional delete files with a compact binary format. That 50,000-row compliance delete now writes a single deletion vector file instead of thousands of small deletes, significantly reducing compaction time and delete file overhead.

Row lineage adds _row_id and _last_updated_sequence_number to each record automatically. Your downstream pipelines can query these fields to find changed rows without scanning the full table.

New data types let you store semi-structured, geospatial, and nanosecond-precision data natively instead of encoding it as strings or integers:

• Nanosecond timestamp(tz) for nanosecond-precision timestamps
• Geometry and geography for geospatial data
• Unknown for columns with no known type

Variant data type stores semi-structured data in columnar format. During writes, the engine shreds variant data into hidden columns and collects statistics. At query time, those statistics enable file pruning that significantly reduces I/O compared to parsing JSON strings.

The following sections walk through how to use these V3 capabilities in practice, with examples that show how to create tables, work with the new data types, and manage data at scale.

Getting started
A retail analytics team tracks user behavior across web and mobile apps. Each event has a different structure: page views include URLs and duration, purchases include items and amounts, and searches include query terms and result counts. With V3’s variant type, you store all event shapes in one table without predefined schemas:

CREATE TABLE my_catalog.namespace.clickstream (
  event_id bigint,
  event_time timestamp,
  user_id string,
  payload variant
)
USING iceberg
TBLPROPERTIES ('format-version' = '3')

Insert events with different payload shapes without worrying about schema evolution:

INSERT INTO my_catalog.namespace.clickstream VALUES
  (1, current_timestamp(), 'user-42',
   PARSE_JSON('{"action": "purchase", "amount": 99.99, "items": ["laptop_stand"]}')),
  (2, current_timestamp(), 'user-17',
   PARSE_JSON('{"action": "page_view", "url": "/products/webcam", "duration_ms": 4200}'));

Now query the variant column directly, without PARSE_JSON at read time. With Amazon EMR Spark, use variant_get:

SELECT
  event_id,
  user_id,
  variant_get(payload, '$.action', 'string') AS action,
  variant_get(payload, '$.amount', 'double') AS amount
FROM my_catalog.namespace.clickstream
WHERE variant_get(payload, '$.action', 'string') = 'purchase'
  AND variant_get(payload, '$.amount', 'double') > 50.00

To enable deletion vectors for write operations, configure merge-on-read mode:

ALTER TABLE my_catalog.namespace.clickstream
SET TBLPROPERTIES (
  'write.delete.mode' = 'merge-on-read',
  'write.update.mode' = 'merge-on-read',
  'write.merge.mode' = 'merge-on-read'
)

Now when you run a compliance delete, V3 writes a small deletion vector instead of rewriting data files:

DELETE FROM my_catalog.namespace.clickstream
WHERE user_id = 'user-42'

S3 Tables compaction handles these deletion vector files automatically on the next maintenance cycle.

Upgrading from V2
AWS provides backwards compatibility for both versions to minimize disruption during migration to V3. Existing V2 readers continue to work on upgraded tables until you’re ready to fully adopt V3 features. For more details, see the S3 Tables Iceberg V3 documentation.
Upgrade an existing table atomically without rewriting data:

ALTER TABLE my_catalog.namespace.existing_table
SET TBLPROPERTIES ('format-version' = '3')

On the next compaction cycle, S3 Tables remove old V2 delete files. New modifications use deletion vectors automatically. Row lineage fields initialize on the first data modification after the upgrade.

This is a one-way operation. The Apache Iceberg specification does not support downgrading from V3 to V2. Verify that all engines accessing the table support V3 before upgrading.

Using row lineage for incremental pipelines
After your table has V3 data, use row lineage to build efficient incremental pipelines:

SELECT *, _row_id, _last_updated_sequence_number
FROM my_catalog.namespace.clickstream
WHERE _last_updated_sequence_number > 42

This returns only rows modified after sequence number 42. Your downstream jobs can checkpoint this value and process only new changes on each run, instead of scanning the full table.

Compatibility across AWS analytics services
AWS offers the broadest native Apache Iceberg support of any major cloud provider, with Iceberg-compatible services at every layer of the data stack: ingestion, storage, catalog, and analytics. You can store and automatically optimize V3 tables in Amazon S3 Tables, write data with Amazon EMR Spark, integrate and manage data with AWS Glue, and run analytics with Amazon Redshift. To learn more about AWS analytics support for V3, see the Apache Iceberg on AWS prescriptive guidance.

Both S3 Tables and AWS Glue Data Catalog support the Iceberg REST Catalog (IRC) API, enabling interoperability across engines regardless of the catalog endpoint.

Things to know

• S3 Tables compaction fully supports V3 deletion vector files and preserves row lineage metadata.
• The new V3 data types (variant, nanosecond timestamps, geometry, geography, and unknown) require an engine built on Apache Spark 4.0 or later, such as AWS Glue 6.0 or later, or Amazon EMR release 8.1 or later.
• You can create V3 tables from the Amazon S3 console, AWS CLI, or any engine that supports the Iceberg REST Catalog API.
• The new V3 data types are supported only for tables that use the Parquet file format (not ORC or Avro).
• Columns of type variant, geometry, geography, or nanosecond timestamp can’t be included in a table’s sort order for compaction. Tables containing these columns still compact under the sort and Z-order strategies when the sort order uses columns of other types.

Now available
Amazon S3 Tables support for all Apache Iceberg V3 data types is now available in all AWS Regions where S3 Tables are supported. Apache Iceberg V3 support is available at no additional charge; standard S3 Tables pricing applies.

To get started, visit the Amazon S3 Tables documentation or create a table bucket from the Amazon S3 console. If you want to call APIs, search documentation, find regional availability, and check troubleshooting about this feature, try using the AWS MCP Server and plugins with your preferred AI tool. Send feedback to AWS re:Post or through your usual AWS Support contacts.

– Daniel Abib

The post Amazon S3 Tables now support all Apache Iceberg V3 data types appeared first on The NOKIA Blog.

Today, we’re announcing metadata pre-filtering for Amazon S3 Vectors, which delivers higher recall on filtered queries by evaluating your metadata filter before the similarity search. You can filter on attributes such as tenant, category, status, or time, and pre-filtering adds prefix matching with $startsWith for paths, URLs, and hierarchical keys. Each vector carries up to 2 KB of filterable metadata, and a single query supports up to 100 filter constraints. There is no additional cost, no re-ingestion, and no change to your queries.

Most applications never search a whole index. They search the part of it that belongs to a particular user, account, or category, and they express that scope as a metadata filter. Semantic search, retrieval-augmented generation (RAG), and agentic applications all need the same thing from a filtered query: a similarity search that covers the vectors matching the filter, and returns the closest of them. With pre-filtering, a filtered query returns more of the relevant matches your index contains, giving you higher recall on filtered searches.

Common use cases
Pre-filtering applies wherever results have to be both relevant and correctly scoped:

• Legal and professional services: A law firm or e-discovery platform searches documents scoped to a single client, and with $startsWith narrows further by matter number, folder path, or document ID prefix. A single client is a small share of a firm-wide archive, and filters this narrow are where pre-filtering improves recall most.
• Financial services: An investment research platform searches analyst notes, filings, and call transcripts scoped by issuer, document type, and publication date.
• Media and entertainment: A streaming service filters by content rating and regional licensing before the semantic search, finding similar titles restricted to G and PG content licensed in one territory.
• Agentic applications: An agent working within a user’s session filters on fields such as owner, document set, and timestamp so its searches cover the material relevant to the task at hand. Higher recall means more of that material reaches the agent, which improves task reliability

How pre-filtering works
Each vector in an S3 Vectors index can carry application-defined metadata, and a query can filter on those fields.

Every vector index has an index mode. On an index whose index mode is ENHANCED, S3 Vectors resolves your filter first, then searches only the vectors that match. On an index whose index mode is CLASSIC, S3 Vectors performs the vector search and filter evaluation in tandem, validating each candidate vector against your filter as it searches. Existing indexes use CLASSIC until you update them.

Consider a support knowledge base of 8 million tickets, where an agent searches one customer’s history for a recurring error. If that customer accounts for 400 of those tickets, resolving customer_id first means the similarity search runs across all 400 of them, so the agent sees that customer’s prior occurrences. Before the index was updated, the same query drew its candidates from the full 8 million, and the result set contained fewer of that customer’s matching tickets.

On highly selective filters, pre-filtering returns up to 5x more of the matching vectors than the same query returned before on CLASSIC indexes.

Getting started
Before you start, make sure your IAM policy grants permissions for the new actions.

You can get started in three steps. The walkthrough below builds a small product-catalog index and runs a selective filter against it, the same pattern you would use for a multi-tenant RAG store or a document search scoped to one client.

First, create a vector index:

aws s3vectors create-index  
  --index-name product-catalog  
  --vector-bucket-name my-vector-bucket  
  --dimension 1536  
  --distance-metric cosine

The dimension must match the output size of your embedding model, and distance-metric should match how that model was trained (cosine is common for text embeddings). Second, write vectors with the PutVectors API, attaching up to 2 KB of filterable metadata to each vector:

aws s3vectors put-vectors 
  --index-name product-catalog 
  --vector-bucket-name my-vector-bucket 
  --vectors '[{
    "key": "doc-001",
    "data": {"float32": [0.1, 0.2, 0.3, ...]},
    "metadata": {
      "tenant_id": "t-10428",
      "category": "legal",
      "created_date": "2026-03-15",
      "active": true
    }
  }]'

Each vector carries the attributes your application filters on. In this example, tenant_id scopes results to a single customer, category narrows by document type, created_date records when the document was created, and active is a boolean flag. By default every metadata field is filterable, so you can query on any of them without declaring a schema up front.

Third, run a filtered similarity query with the QueryVectors API. The filter uses a compact JSON syntax where a bare key-value pair is an equality match, and operators such as $and, $or, and $gt combine or refine conditions. Pass --return-metadata so the query returns each vector’s metadata:

aws s3vectors query-vectors 
  --index-name product-catalog 
  --vector-bucket-name my-vector-bucket 
  --query-vector '{"float32": [0.1, 0.2, 0.3, ...]}' 
  --top-k 50 
  --return-metadata 
  --filter '{"$and": [
    {"tenant_id": "t-10428"},
    {"category": "legal"},
    {"active": true}
  ]}'

The expected result is a single vector, doc-001, the only one matching all three filter conditions (tenant_id, category, and active):

{
  "vectors": [
    {
      "distance": 0.9717477560043335,
      "key": "doc-001",
      "metadata": {
        "tenant_id": "t-10428",
        "category": "legal",
        "created_date": "2026-03-15",
        "active": true
      }
    }
  ],
  "distanceMetric": "cosine"
}

S3 Vectors first narrows the search space to vectors matching all three filter conditions, then returns the 50 most similar vectors from that subset. Because the filter is applied before the search, those results are drawn from across all the vectors that match it.

Prefix matching with $startsWith
Pre-filtering adds a prefix match operator for filtering on paths, URLs, and hierarchical keys. A document store that encodes case and folder structure into a document ID can scope a search to a subtree in one condition:

--filter '{"$startsWith": {"document_id": "matter-4417/exhibits/"}}'

$startsWith joins the existing operators: equality, numeric range, set membership, existence checks, and boolean logic with $and and $or.

Turning on pre-filtering for existing indexes
Call UpdateIndexMode on an existing index to turn on pre-filtering:

aws s3vectors update-index-mode 
  --vector-bucket-name my-vector-bucket 
  --index-name product-catalog 
  --index-mode ENHANCED

Pre-filtering takes effect in place. Your existing vectors are not re-ingested, your queries do not change, and the new filter operators are available immediately.

Here is the difference on the same index and the same query. Before the update, a query scoped to one tenant returns two of the ten results requested:

aws s3vectors query-vectors 
  --vector-bucket-name my-vector-bucket 
  --index-name product-catalog 
  --query-vector '{"float32": [0.1, 0.2, 0.3, ...]}' 
  --top-k 10 
  --return-metadata 
  --filter '{"tenant_id": "t-10428"}'

{
  "vectors": [
    { "key": "doc-114", "distance": 0.41 },
    { "key": "doc-322", "distance": 0.55 }
  ],
  "distanceMetric": "cosine"
}

After the update, the same query returns a full result set drawn from across that tenant’s documents:

{
  "vectors": [
    { "key": "doc-018", "distance": 0.09 },
    { "key": "doc-207", "distance": 0.13 },
    { "key": "doc-114", "distance": 0.41 },
    ... 7 more
  ],
  "distanceMetric": "cosine"
}

Rolling out across your indexes
Once you have validated pre-filtering on an index, set the default index mode on the vector bucket so that new indexes use ENHANCED without a follow-up call:

aws s3vectors put-vector-bucket-default-index-mode 
  --vector-bucket-name my-vector-bucket 
  --default-index-mode ENHANCED

To bring the rest of your existing indexes across, list them and check the index mode on each one, then call UpdateIndexMode on the ones still using CLASSIC:

aws s3vectors list-indexes 
  --vector-bucket-name my-vector-bucket

aws s3vectors get-index 
  --vector-bucket-name my-vector-bucket 
  --index-name product-catalog

Things to know 

• Indexes created in vector buckets created on or after September 30, 2026 use index mode ENHANCED. Indexes in buckets that existed before that date use CLASSIC until you set the bucket default, including indexes created in those buckets afterward.
• A single query supports up to 100 filter constraints, counted per value the filter evaluates. If a query exceeds that, you can usually consolidate the filter, replacing a 300-value $in over legal cases with a single caseId field, for example, or split it into smaller queries, run them in parallel, and merge the results by distance.

Now available
Metadata pre-filtering is available at no additional cost in all commercial AWS Regions where Amazon S3 Vectors is available, and in the AWS China Regions. You pay standard S3 Vectors pricing for storage, PUT requests, and queries. For full pricing details, visit the Amazon S3 pricing page. For regional availability, visit Amazon S3 Vectors Regions and quotas.

Whether you’re scoping a RAG application to one tenant, scoping an agent’s searches to one user’s documents, or narrowing a catalog search to a licensing window, pre-filtering lets you apply those filters without trading away recall. To learn more and get started, visit the Amazon S3 Vectors documentation. Send feedback to AWS re:Post for S3 or through your usual AWS Support contacts.

— Daniel Abib

The post Amazon S3 Vectors now supports metadata pre-filtering for higher recall on filtered searches appeared first on The NOKIA Blog.

Today, we’re announcing a new capability for Amazon Aurora PostgreSQL that you can use to directly query operational data together with data stored in your data lake in Apache Iceberg and Apache Parquet formats, using your existing PostgreSQL applications and tools. By eliminating the need to extract, transform, and load (ETL) structured data from data lakes into your operational database, you can reduce operational complexity and simplify application development. You can also use Aurora PostgreSQL to query data from data lakes managed in Iceberg REST Catalog (IRC)-compatible catalogs, giving you access to data across a breadth of analytics systems without moving or duplicating it. Whether you’re powering real-time dashboards, enriching transactions with historical context, or building AI agents that reason over both live and archived data, you can now do it all through a single, familiar interface.

Previously, if your application needed to combine recent transactional data in Aurora with historical records stored in Amazon S3, a common approach was to build reverse ETL pipelines that duplicated data, increased infrastructure costs, and required ongoing engineering effort to keep everything synchronized. This challenge only grows as you increasingly embed AI agents into your applications, where it is impractical to predict and pre-replicate every dataset an agent might need.

DuckLabs, the team that maintains the DuckDB project, recently joined Amazon, and this capability is an example of how the efficiency of DuckDB is being integrated into our services. DuckDB is now embedded directly within Aurora PostgreSQL, so you can query live operational data (including uncommitted writes) alongside your data lake in a single query. Query processing stays within Aurora, with no additional network hops and no ETL pipelines that duplicate data. You can query Apache Iceberg tables managed through the AWS Glue Data Catalog, as well as Parquet and Iceberg data stored in Amazon S3 and S3 Tables. You do all of this using familiar PostgreSQL syntax and your existing applications and tools.

We’re excited to bring the speed and simplicity of DuckDB directly into Aurora PostgreSQL, so you and your agents can query and combine operational and Iceberg data using the familiar PostgreSQL applications, tools, and endpoints already in use. By building this capability around DuckDB, future improvements to the open source engine can continue to bring performance and functionality gains to Aurora and other AWS services.

What is new
This capability is supported on two Aurora PostgreSQL major versions: 17 (starting with 17.11) and 18 (starting with 18.6). To use it, you create an Aurora PostgreSQL cluster, attach an IAM role with the AuroraAnalytics feature, and enable the aurora_analytics extension. The IAM role is what gives Aurora access to your data in Amazon S3 and the AWS Glue Data Catalog. You then create foreign tables that point to your Iceberg or Parquet data in the data lake, and query them using familiar PostgreSQL syntax. You can complete this setup through the Amazon RDS console, or with any PostgreSQL client such as psql. The process is well documented in the Aurora PostgreSQL documentation.

You can query data across external IRC-compatible catalogs through AWS Glue Data Catalog federation. You register the external catalog once with Glue, and then create foreign tables for the tables you want to query, the same way you would for any Glue-native table. A single query can then join data stored in Aurora with Iceberg tables registered across multiple catalogs, so applications get a unified view without moving data or replacing your existing catalog investments.

Aurora also applies optimizations such as predicate pushdown and column pruning so that only the relevant data is read. This keeps queries efficient even as the underlying data grows. Frequently accessed data is also cached in your Aurora instance, so subsequent queries against the same data return faster. You can inspect this behavior per query using aurora_analytics_stat_statements(), which reports metrics such as rows scanned, bytes read from Amazon S3, and cache hits.

To see how direct querying works, I connected to my Aurora PostgreSQL database using psql and created the extension:

CREATE EXTENSION aurora_analytics;

For my walkthrough, I set up a simple financial scenario. I have a recent_transactions table in Aurora with the last 7 days of customer transactions, and a Parquet file in Amazon S3 containing 5 years of historical transaction data. To make Aurora aware of the historical data, I created a foreign table pointing at the Parquet file in S3:

CREATE FOREIGN TABLE transaction_history ()
SERVER aurora_analytics_server
OPTIONS (
    location 's3://<my-bucket>/finance/transaction_history.parquet',
    format 'parquet'
);

Notice the empty parentheses in the CREATE FOREIGN TABLE statement. Aurora automatically reads the schema from the Parquet file metadata, so you do not need to define columns manually. For workloads with many tables, you can skip creating them one at a time: a single IMPORT FOREIGN SCHEMA statement bulk-creates foreign tables for every Iceberg or Parquet table in an AWS Glue Data Catalog database, inferring schemas automatically.

With both tables in place, I ran a single query that combines the recent operational data in Aurora with the historical data in S3:

SELECT merchant, category, amount, transaction_date, 'recent' AS source
FROM recent_transactions
WHERE customer_id = 'C-1001'
UNION ALL
SELECT merchant, category, amount, transaction_date, 'historical' AS source
FROM transaction_history
WHERE customer_id = 'C-1001'
  AND transaction_date >= CURRENT_DATE - INTERVAL '5 years'
ORDER BY transaction_date DESC
LIMIT 15;

The result shows both recent and historical transactions in a single result set. The 7 most recent rows come from Aurora, and the rest come directly from the Parquet file in S3. DuckDB handles the analytical scan of the Parquet data under the hood, while Aurora handles the operational data. That single query would have previously required a pipeline to move the historical data into the database first.

If a query pattern needs single-digit-millisecond latency, you can materialize data from the data lake into a native Aurora PostgreSQL table using familiar commands such as CREATE TABLE AS SELECT, INSERT INTO ... SELECT, or MERGE INTO. The materialized table lives in Aurora and is queried like any other PostgreSQL table, giving you a low-latency path for hot data without operating a separate ingestion pipeline. The read queries can run on any Aurora PostgreSQL instance in your cluster, whether the writer or a read replica, so you can offload analytical scans from your operational workload. The materialization commands write data into Aurora, so they run on the writer instance.

Get started today
Direct querying of Apache Iceberg and Parquet data from Amazon Aurora PostgreSQL is available today in all commercial AWS Regions and AWS GovCloud (US) Regions, at no additional charge. You pay only for the incremental Aurora compute the queries consume and Amazon S3 request costs for reading data lake files.

To learn more, visit the Amazon Aurora features page, read the Aurora PostgreSQL documentation, or try it in the Amazon RDS console. We welcome your feedback through AWS re:Post or through your usual AWS Support contacts.

— Esra

The post Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake appeared first on The NOKIA Blog.

Today, we’re excited to introduce the newest members of the AWS Heroes program. AWS Heroes are a vibrant, worldwide group of AWS experts who go above and beyond to share knowledge, mentor others, and build thriving communities. These individuals make a real difference in helping developers and organizations succeed with AWS.

This month, we welcome three exceptional community leaders from across the globe, each bringing unique expertise and a deep commitment to empowering builders everywhere.

Avinash Shashikant Dalvi – Bengaluru, India

Serverless Hero Avinash Shashikant Dalvi is a tech architect and co-organizer of AWS User Group Bengaluru who is focused on serverless, containers, and production-ready applications on AWS. He has delivered over 40 community talks, publishes the AWS for Product Builders newsletter, and creates technical content covering Amazon ECS, AWS Fargate, AWS Lambda, and AWS Amplify.

Joanne Skiles – Orlando, USA

Serverless Hero Joanne Skiles is an engineering leader and educator with over 16 years of experience building full-stack systems, including serverless architecture and AI systems on AWS. She organizes the Orlando AWS User Group and teaches cloud and AI concepts through her YouTube channel, conference talks, and her podcasts Chaotic Commits and Her Career Unplugged. Joanne is also a professor in the Computer Science department at Rollins College, where she runs the Transparent Systems lab.

Xiaofei Li – Shanghai, China

Community Hero Xiaofei Li is an AWS Golden Jacket holder and is an active community leader in the Greater China Region, leading the Kiro, Amazon Quick, and Tokyo Chinese AWS communities. He founded the Kiro Chinese User Community (5,000+ members) and initiated the Chinese localization of AWS Builder Cards across 15 cities and 3,000+ participants. Xiaofei also mentors underserved students and supports Women in Tech initiatives.

Learn More

Visit the AWS Heroes webpage if you’d like to learn more about the AWS Heroes program, or to connect with a Hero near you. To learn more about how to get involved with the AWS community, visit our AWS Builder Center.

— Taylor

The post Celebrating Our Newest AWS Heroes – September 2026 appeared first on The NOKIA Blog.

If there’s one theme that defined last week, it’s choice. The frontier models keep arriving, and the interesting question is no longer just “how smart is it?” but “which model fits this step, at this cost, at this latency?” That’s exactly what landed on Amazon Bedrock over the past few days: GPT-6 Sol and GPT-6 Luna from OpenAI, giving you two new points on the intelligence-versus-efficiency curve, and Claude Opus 5.5 from Anthropic, the first of the Claude 5.5 family.

GPT-6 Sol is built for the demanding, recurring work of development and operations, while GPT-6 Luna makes focused, repeatable tasks practical at high volume, and both ship at significantly lower pricing than their GPT-5.6 predecessors. Claude Opus 5.5, meanwhile, does more with fewer tokens than Opus 5 and is tuned for agentic coding and long-running tasks. What I like about all three is that they push toward the same idea: match the model to the job instead of reaching for the biggest one every time. The other thread was observability catching up to this agentic world, including a launch I had the pleasure of writing about myself.

Now, let’s get into this week’s AWS news…

Last week’s launches
Here are some launches and updates from this past week that caught my attention:

• Introducing Amazon CloudWatch Omni – You can now observe your applications and AI agents together in a single, collaborative experience. Amazon CloudWatch Omni is built on OpenTelemetry, so your existing telemetry shows up with nothing to reconfigure, and your whole team reaches it through one URL with enterprise SSO — no console access required. It auto-discovers your services, maps dependencies, and brings AWS DevOps Agent into investigation sessions to correlate signals and trace root causes. There’s a companion post on the agent-observability side, a deeper dive on the AWS Cloud Operations blog on what observability for the AI era looks like, and the announcement on What’s New with the specifics. If you want the bigger picture, Matt Wood’s Wrong, not broken is a great read on why correctness now has to be measured at the level of the run.

• Enhanced custom event buses in Amazon EventBridge – Amazon EventBridge now offers an enhanced custom event bus purpose-built for organizations scaling event-driven applications across teams and accounts. You can now deploy a single centralized bus shared across every account in your organization through AWS RAM, with optional event ordering, a simplified Subscriber resource that bundles filtering, targets, and retries, content-based deduplication, and synchronous invocation for targets like AWS Lambda. A new ingress/egress pricing model replaces the compounding cross-account routing charges of multi-bus setups, and your existing buses keep working unchanged as “classic.”

• Amazon SageMaker HyperPod Inference Gateway – You can now front your LLM inference on Amazon SageMaker HyperPod with a Kubernetes-native, GPU-aware routing layer that deploys as a single Amazon EKS managed add-on with zero application changes. Instead of round-robin load balancing, it routes on real-time inference signals — KV cache utilization, queue depth, prefix cache hits, predicted latency, and more — cutting first-token latency by up to 82% in mixed-hardware and bursty scenarios. It works with any OpenAI-compatible model server, including vLLM and SGLang.

• AI agent skills for AWS End User Messaging and Amazon SES – You can now build and send messages by asking your AI coding agent in plain language. Amazon SES and AWS End User Messaging publish AI agent skills for the AWS MCP Server, giving your agent step-by-step, validated guidance for tasks like verifying a sending identity, sending a production email, or building a branded RCS agent with cards and buttons. The skills work with Claude Code, Codex, Cursor, and Kiro, so you can complete messaging workflows without hopping between docs and console screens.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news
Here are some additional posts and resources that you might find interesting:

• Introducing Strands harness – The Strands Agents team released Strands harness, a fully assembled, general-purpose agent harness you can run locally or deploy anywhere, under Apache 2.0. It takes one line of Python or TypeScript to wire up your model of choice across Amazon Bedrock, Anthropic, OpenAI, Google, or a local Ollama model, and it ships with sensible defaults for prompt caching and context management (truncating bulky tool results, compacting when the context window fills up, and keeping memory across runs). The team reports it costs about 28% less than comparable harnesses on the same models while holding accuracy steady.

• Announcing the new AWS Reimagine report on AI – The AWS Executive in Residence team spent nine months interviewing 154 leaders across 27 countries about what separates organizations that turn AI into value from those that don’t. The report is candid (including where AI hasn’t worked at Amazon), and the recurring insight is that once building gets fast, the bottleneck moves to deciding, funding, and governing the work. Well worth a read if you’re thinking about how your teams adopt AI in practice.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

• AWS re:Invent – AWS re:Invent returns to Las Vegas from November 30 to December 4, and session times, locations, and speakers are live. Reserved seating opens October 6, so register now and be ready to claim your spot in chalk talks, workshops, and builders’ sessions.

• AWS Summits – With re:Invent on the horizon, the Summits are wrapping up for the year. The last stop is Dubai (September 30) at the Dubai World Trade Center, with 60+ sessions, an AWS Village, and hands-on workshops.

Join the AWS Builder Center to connect with builders, share solutions, and access content that supports your development. Browse here for upcoming AWS-led in-person and virtual events and developer-focused events. That’s all for this week. Check back next Monday for another Weekly Roundup!

— Daniel Abib

The post AWS Weekly Roundup: GPT-6 Sol and Luna, Claude Opus 5.5 on Amazon Bedrock, Strands harness, and more (September 28, 2026) appeared first on The NOKIA Blog.

Organizations building event-driven applications on Amazon EventBridge typically start with a single custom event bus in one account. This works well when a single team owns the architecture. As adoption grows across the organization, though, things get complicated. AWS best practices recommend a multi-account structure, which means each team runs in its own account. To route events between them, teams create multiple event buses connected through cross-account rules or bus-to-bus configurations. This workaround reintroduces the operational complexity that serverless architectures are meant to eliminate. Platform teams lose visibility into who is subscribing to which events, cross-account and bus-to-bus routing charges compound quickly, and teams that need capabilities like event ordering are forced to build complex workarounds or adopt entirely different technologies.

Today, we are announcing an enhanced custom event bus in Amazon EventBridge, purpose-built for organizations scaling event-driven applications across teams and accounts. With the new enhanced custom event bus, you can deploy a single, centralized event bus shared across all AWS accounts in your organization, with ordering guarantees, a simplified Subscriber resource, and a new pricing model that delivers improved economics at scale and cost allocation for publishers and subscribers.

Let’s try it out
To get started with an enhanced custom event bus, I navigated to the EventBridge console in the AWS Management Console and opened the Create custom event bus page. I selected Custom event bus, the recommended option labeled New. The page also offered Custom event bus – classic, which continues to receive events and route them with rules and targets. Below the selection, EventBridge showed how the new bus works. One shared bus serves every team in the organization. Publishers send events, subscribers consume only what they need, and EventBridge handles ordering, retention, routing, and delivery.

The Create custom event bus page. Custom event bus is the recommended new option, with ordered delivery, filter patterns, event replay, and sharing across your AWS organization. Custom event bus – classic remains available for existing workloads.

Next, I configured resource sharing. I turned on Enable event bus sharing and selected Allow sharing only within your organization. I chose AWS account ID as the principal type. I could also share with an organization, an organizational unit, or an AWS Identity and Access Management (IAM) role or user. Sharing uses AWS Resource Access Manager (AWS RAM), so I did not have to set up cross-account permissions or bus-to-bus routing myself.

Resource sharing on the new custom event bus. I enabled sharing within my organization through AWS RAM and selected an AWS account as the principal, which is how teams publish and subscribe on the same bus without extra routing.

Organization-wide sharing
With the new enhanced custom event bus, you can create a single event bus and share it across all AWS accounts in your organization. Platform teams deploy one bus and establish it as the central event backbone, eliminating the need to configure cross-account permissions or bus-to-bus routing. Application teams across your organization can publish and subscribe to events on the same bus without waiting for infrastructure provisioning.

Publishers send events without needing to know which teams consume them, and subscribers create their own Subscriptions independently. Platform teams maintain visibility into all event flows and fine-grained control over who can publish and consume events. The new enhanced custom event bus has a default quota of 10,000 Subscribers per bus, and you can request a higher quota. That reduces the fragmentation that occurs when subscriber limits force you to split across multiple buses.

Event ordering
Event-driven architectures work best when consumers are designed around asynchronous patterns, where the order of events does not matter. There are a few cases where order does matter. In a logistics application, driver location updates must arrive in sequence. Out-of-sequence events cause routing algorithms to make decisions based on stale data.

The enhanced custom event bus supports both patterns on the same bus. Publishers can include an EventGroupId when sending events. EventBridge delivers events that share the same EventGroupId in sequence to Subscribers that chose ordered delivery. Other subscribers on that bus can receive the same events without ordering. You can keep events for each driver in the correct order without building complex workarounds, while the rest of your consumers stay fully asynchronous.

To support ordered processing, the enhanced custom event bus includes synchronous invocation for targets like AWS Lambda. Synchronous mode confirms successful processing before acknowledging the event, eliminating the common pattern of placing Amazon Simple Queue Service (Amazon SQS) between an event bus and Lambda to ensure reliability.

Subscriptions
The enhanced custom event bus introduces the Subscriber resource, which combines event filtering, target configuration, retry policies, and dead-letter destinations into a single, manageable unit. Today, achieving the same outcome with EventBridge requires configuring separate rules, targets, and retry settings across multiple resources. Subscribers simplify this by giving each consumer one resource that defines what events they want, where to deliver them, and how to handle failures.

Subscribers also include variable start time options, making it easier for teams to onboard new consumers or replay events to recover from application errors or hydrate new applications.

Event evaluation
Publishers can turn on content-based deduplication so EventBridge detects and drops retries of the same event from the payload itself. You do not have to generate and track a deduplication ID when a timeout or a partial failure sends the same event twice. EventBridge hashes the meaningful parts of the event and collapses matches that arrive within five minutes, which gives those retries exactly-once delivery semantics instead of EventBridge’s usual at-least-once model. If you already stamp your own idempotency token, keep using it. Content-based deduplication is for sources that cannot reliably identify the same event on a retry.

Subscribers can use JSONata expressions to reshape an event before it reaches a target, extracting fields, renaming them, or computing new values when a downstream API expects a different shape. If you already produce Apache Avro or Protocol Buffers events, EventBridge can deserialize those payloads to JSON, allowing subscribers fine grained filtering and routing on the full event payload without having to consume, deserialize, and match or discard on their own.

New pricing model
The enhanced custom event bus uses a new ingress and egress throughput pricing model. Publishers pay for events ingested, and subscribers pay for events delivered. This replaces the per-event model where cross-account and bus-to-bus routing charges compound in multi-bus architectures. For pricing details, visit the EventBridge pricing page.

Existing EventBridge custom event buses continue to work as they do today with no changes required. They now appear as Custom event bus – classic. The enhanced custom event bus is a new resource that you adopt at your own pace. In the console, it appears as Custom event bus.

Now available
The enhanced custom event bus is available today in the US East (N. Virginia, Ohio), US West (Oregon), Europe (Ireland, Frankfurt, Stockholm, Spain), and Asia Pacific (Hong Kong, Malaysia, Mumbai, Singapore, Sydney, Thailand, Tokyo) Regions. You can create your first enhanced custom event bus through the AWS Management Console, AWS Command Line Interface (AWS CLI), or EventBridge APIs. To get started, visit the EventBridge documentation or try it out directly in the EventBridge console.

The post Introducing enhanced custom event buses in Amazon EventBridge for enterprise-scale event-driven applications appeared first on The NOKIA Blog.

Amazon CloudWatch now offers CloudWatch Omni, an AI-powered observability experience for the applications and AI agents you run together. You reach Omni through a dedicated URL for your organization and sign in with the identities you already manage, so working in Omni does not require access to the AWS Management Console. Omni is built on OpenTelemetry: the telemetry you already send to CloudWatch appears in Omni with nothing to reconfigure, and any other workload you instrument with OpenTelemetry sends its telemetry to an OpenTelemetry Protocol (OTLP) endpoint.

CloudWatch Omni offers both agent observability and application observability in a single experience. In our companion post, we introduced the agent observability capabilities of Omni for generative AI and agentic workloads. In this post, we present the application observability experience.

Engineering teams spend a significant portion of their observability time maintaining dashboards, tuning thresholds, and switching between tools to piece together what happened during an incident. When an issue crosses team boundaries, context gets lost in Slack threads and screenshots rather than flowing naturally to the next engineer. CloudWatch Omni changes this by organizing observability around your applications rather than individual signals, and bringing your whole team into the same workspace.

What CloudWatch Omni brings
CloudWatch Omni addresses three problems that engineering teams told us they face today.

One collaborative experience for your whole team. Every engineer accesses CloudWatch Omni through a single URL with enterprise SSO (via IAM Identity Center, supporting Okta, Azure AD, and other providers). No AWS Console access is required. SREs, developers, database engineers, and managers share the same data and investigation context. When an investigation escalates, the next person joins the same session with full context already in front of them.

The system adapts as your applications evolve. CloudWatch Omni discovers your services, maps dependencies, and adjusts alarms automatically. Instead of manually curating dashboards and tuning thresholds, you declare what matters (availability targets, latency budgets, error rate thresholds) and Omni adapts as your system changes. When you deploy new services, Omni updates the application topology automatically.

AI-powered investigation with Amazon DevOps Agent. Amazon DevOps Agent participates alongside your team in investigation sessions, correlating signals and suggesting next steps. The agent works from the same telemetry your engineers see, so its suggestions are grounded in the actual state of your application. It identifies correlated events across services, traces root cause paths through your dependency graph, and maintains investigation history for post-incident review.

How an investigation works
When something breaks, CloudWatch Omni opens an investigation session pre-loaded with context. Here is a typical incident workflow:

An alarm fires on elevated error rates in your checkout service. Omni opens a session showing the service topology, correlated signals (a deployment 10 minutes earlier, increased latency from a downstream payment API), and DevOps Agent’s initial analysis.

Your on-call SRE confirms the deployment correlation, pulls in the trace view to identify failing endpoints, and checks if the payment API latency correlates with a capacity limit.

The SRE escalates to the payments team. The payments engineer joins the same session and sees everything found so far, plus DevOps Agent’s correlation with a configuration change in the payment provider’s API gateway. They identify the root cause and roll back.

The entire investigation history is captured automatically. No separate incident report needed.

Walkthrough: setting up your first Space
To set up CloudWatch Omni for your team, open the CloudWatch console and click “Try CloudWatch Omni.”

Figure 1. CloudWatch console — Omni setup page

Next, connect your identity provider through IAM Identity Center (supporting Okta, Azure AD, and other SAML 2.0 providers). Once connected, your team members access Omni directly at your dedicated URL without needing AWS Console credentials.

Create a Space for your team. A Space groups the applications your team owns and the telemetry associated with them.

Figure 2. CloudWatch Omni Home — your team’s workspace with application monitoring, analytics, and agent observability

Once created, Omni discovers your services automatically and maps the dependencies between them. You see your application topology immediately.

Figure 3. Application topology — services and dependencies mapped automatically

You can ask CloudWatch Omni any question about your applications in plain English, and Omni will analyze your telemetry data and surface insights.

Figure 4. Interact with your telemetry in natural language

You can also set up service health alerts, configure what matters to your team, and trigger an AWS DevOps agent investigation to identify the root cause and develop a mitigation plan.

Figure 5. Investigation session — DevOps Agent identifies root causes and suggests next steps

Application-centric organization
CloudWatch Omni organizes telemetry by application rather than by infrastructure component. The system automatically discovers services from the telemetry data and AWS Config resource discovery, maps dependencies, and lets you see your application as a connected system rather than a collection of isolated resources.

Each team gets a Space that contains the applications they own. A Space points at existing CloudWatch data (logs, metrics, traces, and alarms) with no additional data movement required. Dynamic views replace the maintenance burden of static dashboards, providing ongoing visibility into SLOs and application health.

Getting started
Getting started takes minutes and doesn’t require reconfiguration of your existing CloudWatch setup.

If you’re an existing CloudWatch customer: Click “Try CloudWatch Omni” in the CloudWatch console. All your existing telemetry (logs, metrics, traces, and alarms) is immediately available. Workloads are discovered automatically, and you can start an investigation or browse your application topology right away.

For organization-wide deployment: An administrator configures a domain, connects your identity provider via IAM Identity Center, defines Spaces for teams and environments, and invites users. Each Space points at existing CloudWatch data with no additional data movement required.

For applications in other environments: CloudWatch Omni provides connectors that make it easy to bring in telemetry from additional environments. All ingested telemetry appears alongside your AWS data in the same Spaces and investigation sessions.

For generative AI and agentic workloads: The same CloudWatch Omni experience delivers purpose-built observability for AI agents, including trace exploration, evaluation frameworks, and real-time monitoring. In our companion post, we introduced the agent observability capabilities of Omni; for that walkthrough, see Introducing Amazon CloudWatch Omni: AI-powered observability for generative AI and agentic workloads.

Things to know

• CloudWatch Omni extends CloudWatch. Existing alarms, dashboards, APIs, and console workflows continue unchanged.
• Access is through a dedicated web application with enterprise SSO. Engineers don’t need AWS Console access to use it.
• Once you setup, DevOps Agent is enabled by default in every Omni investigation session.

Pricing and availability
Amazon CloudWatch Omni is now available. Existing CloudWatch customers can try it directly from the CloudWatch console. For pricing details, visit the Amazon CloudWatch pricing page.

To get started, visit Amazon CloudWatch Omni or click “Try CloudWatch Omni” in the Amazon CloudWatch console.

If you want to call APIs, search documentation, find regional availability, and check troubleshooting about this feature, try using the AWS MCP Server and plugins with your preferred AI tool. Share your feedback on AWS re:Post or reach out through your usual AWS Support contacts.

— Daniel Abib

The post Introducing Amazon CloudWatch Omni: collaborative AI-powered observability for your applications appeared first on The NOKIA Blog.

Today, Amazon CloudWatch introduces CloudWatch Omni, a unified observability experience for application and AI workloads that is app-centric, AI-powered, built on open standards, and delivered off-console. CloudWatch Omni is a purpose-built observability, evaluation, and experimentation solution for AI agents. It helps teams design, evaluate, and operate AI agents across any model provider, framework, or runtime, with an eval-driven workflow, support for the tools you already use, and observability delivered where you work: directly in your IDE and through a standalone web experience, separate from the AWS Management Console.

Organizations deploying agentic AI systems face observability challenges that traditional monitoring can’t address. Agent behavior is non-deterministic: a prompt change can degrade response quality even when standard metrics show no errors. Teams spend hours manually reviewing logs across multiple systems, unable to pinpoint what changed or why. Existing tools force teams to choose between siloed generative AI monitoring or fragmented solutions requiring constant context-switching between their coding environment and browser-based dashboards.

CloudWatch Omni captures every trace and includes built-in evaluators for correctness, coherence, retrieval quality, and tool selection, among others. You can compare prompt versions side by side in the playground, build test datasets from production traffic, run experiments across different configurations, and detect regressions automatically.

Two surfaces for development and operations
CloudWatch Omni delivers observability through two complementary surfaces. Developers get a native extension inside VS Code and Kiro (the currently supported IDEs), where traces appear as you run your agent with a playground and evaluators a click away. Operators get a standalone web experience, separate from the AWS Management Console to monitor the fleet, accessible through SSO with no AWS console needed. Both share the same data: the trace a developer debugs is the trace an operator investigates.

The Cloud Login feature connects your local IDE environment to your AWS account, enabling you to send telemetry data to Amazon CloudWatch for persistent storage, share traces with your team, and access production dashboards. This connection is optional. You can use CloudWatch Omni entirely locally during development, then connect to the cloud when you are ready to monitor agents in production.

Getting started
CloudWatch Omni offers two ways to get started: through the IDE extension (for VS Code and Kiro) or directly through the cloud experience, where you can start sending telemetry data to CloudWatch without installing any IDE extension. In this walkthrough, I install the extension, create an agent, run it, and explore the traces and evaluation tools from my IDE.

After installing the CloudWatch Omni extension from the VS Code Marketplace, the CloudWatch Omni icon appears in the Activity Bar. From the welcome screen, I selected Get started with Sample Project to load a pre-configured agent with sample trace data or use shortcut to Command Palette using Command + Shift + P (on macOS) or Ctrl + Shift + P (on Windows/Linux) and select Omni: Create a new Project

Figure 1. CloudWatch Omni welcome screen & create new project in VS Code

The sample project comes with an agent implementation and example datasets. Part of the getting-started experience is adding OpenTelemetry instrumentation, and CloudWatch Omni guides you through each step. You can also create a new agent from scratch. CloudWatch Omni walks you through the process using an interactive chat where you define the agent’s purpose, select a model provider, and configure tools. All data is stored locally by default. You can optionally connect to AWS to send data to Amazon CloudWatch.

After verifying the configuration, I started the local dev server and sent a question to the agent. What makes this different from a typical chatbot interface is what happens next: selecting View Trace shows exactly how the agent processed the request.

Figure 2. CloudWatch Omni guides your AI code assistant to configure the local development environment for testing

CloudWatch Omni integrates with AI code assistants such as Kiro, Claude Code, and Codex to streamline the setup process. These assistants can configure the Dev Server, install dependencies, and set up instrumentation on your behalf, so you can go from installation to running your first traced agent session in minutes without manual configuration.

Figure 3. Interacting with the agent and viewing traces

Traces are essential for understanding AI agent behavior. Unlike traditional request-response systems, agents make multiple decisions per invocation: choosing tools, composing prompts, and chaining sub-calls. Without full trace visibility, diagnosing why an agent produced an incorrect answer or took an unexpected path becomes guesswork. CloudWatch Omni records every step in a structured timeline so you can pinpoint exactly where behavior diverged.

The Trace Explorer shows a detailed breakdown of every step the agent took (LLM calls, tool invocations, and reasoning steps) in a structured, hierarchical timeline. I could drill into any span to inspect inputs, outputs, token usage, and latency.

Figure 4. Trace Explorer showing the agent’s execution timeline

The Trace Explorer also supports Compare mode, which places two traces side by side to see how different prompts or configurations affect behavior. Compare mode is especially helpful when debugging regressions. And with Ask Assistant, an AI agent analyzes your traces to surface patterns and anomalies, answering questions like “Why did the agent call this tool twice?”

Figure 5. Comparing two traces side by side

Evaluation is what turns observability into actionable quality improvement for generative AI. Traditional metrics like latency and error rate cannot tell you whether an agent’s response was helpful, coherent, or factually correct. Evaluators score each response against quality dimensions, letting you measure what users actually experience and catch regressions that standard monitoring misses entirely.

CloudWatch Omni includes 17 built-in evaluators for metrics like coherence, helpfulness, faithfulness, and routing correctness. I selected traces from the Trace Explorer, chose evaluators, and ran an evaluation, getting per-example scores and aggregate metrics without building any custom evaluation framework.

Figure 6. Running evaluations on traces

From there, I used the Playground to test different system prompts side by side, comparing multiple model and prompt configurations in real time to see how each variation affects output quality before committing changes. With the Experiments view, I could run the same dataset against two agent variants and compare their evaluation scores, latency, and token usage side by side to pick the best-performing configuration.

Figure 7. Comparing evaluations across agent variants in the Omni Experiments console

With Prompt Management, you can version and track prompt configurations over time, making it easy to roll back when a new version underperforms.

CloudWatch Omni also provides a Session Explorer to review full conversation histories and understand how agents handle multi-turn interactions, along with an Agent Topology view that visualizes the architecture of your agent system, including sub-agents, tools, and their interconnections. You can drill into any node to inspect performance and identify bottlenecks.

CloudWatch Omni also offers a dedicated web experience accessible from any browser without an IDE. Teams can access all capabilities collaboratively, including application monitoring, analytics, agent observability, and AI-powered investigations.

Figure 8. CloudWatch Omni web experience with application monitoring, analytics, and agent observability

I curated traces into golden datasets for structured experimentation. The Experiment function runs the agent against a dataset and automatically scores results, creating benchmarks for regression testing whenever prompts or agent logic change.

If you already have an agent built with a supported framework, CloudWatch Omni provides two paths to add instrumentation: Auto-instrument with Kiro, which detects your framework and configures tracing automatically, or manual instrumentation with ready-to-use code snippets for Python and TypeScript. For detailed instrumentation guides, see the CloudWatch Omni documentation.

Supported frameworks and open standards
The walkthrough above uses the sample project, but CloudWatch Omni works with the agent frameworks teams are already using: LangChain, LangGraph, CrewAI, OpenAI SDK, Strands, Vercel AI SDK, and more, in both Python and TypeScript. It also provides native observability for agents built with Amazon Bedrock AgentCore, and uses AgentCore’s evaluation capabilities to assess agent quality directly within the Omni workflow.

Instrumentation uses open standards (OpenInference and ADOT), whether your agents run on Lambda, ECS, EKS, or other clouds. For evaluation, Omni integrates with third-party evaluators including AutoEval and DeepEval alongside built-in datasets, a playground, and batch experiments. No re-platforming required.

CloudWatch Omni brings agent observability and application observability together in a single experience. For the application observability experience, read the companion post Introducing Amazon CloudWatch Omni: collaborative AI-powered observability for your applications.

Pricing and availability
Amazon CloudWatch Omni is now generally available. The IDE extension is free to use. You don’t need an AWS account to get started. You only need AWS credentials for Amazon Bedrock models, or API keys for other providers like OpenAI or Anthropic. Get started today by installing the extension from the VS Code Marketplace.

To explore all capabilities and get started quickly, visit CloudWatch on AWS Builder Center.

If you want to call APIs, search documentation, find regional availability, and check troubleshooting about this feature, try using the AWS MCP Server and plugins with your preferred AI tool. Share your feedback on AWS re:Post or reach out through your usual AWS Support contacts.

Happy building!

— Daniel Abib

The post Introducing Amazon CloudWatch Omni: AI-powered observability for generative AI and agentic workloads appeared first on The NOKIA Blog.

Living in the Netherlands, I spend a fair amount of time on trains, and that is usually where I catch up on what the builder community is writing. Until now, that meant opening a laptop or squinting at a browser tab on my phone. This week I found myself scrolling through trending articles and checking a workshop from the AWS Builder Center mobile app while waiting for a delayed train, and it made those spare twenty minutes very useful. That is why I am glad to open this week with the Builder Center mobile app.

AWS Builder Center is now available as a mobile app on iOS and Android, extending the experience beyond desktop and web. Using your AWS Builder ID, you stay signed in across sessions and can browse trending articles, access 600+ AWS Skill Builder courses, and manage hands-on workshops with free sandbox environments from your mobile device. You can follow AWS Heroes, Community Builders, and User Group Leaders, check Builder Loft event calendars on the go, and receive push notifications for subscribed topics and communities. The app also supports the Wishlist feature for submitting product feedback directly to AWS teams. It is available worldwide on the Apple App Store and Google Play Store.

Builder Center also added two features this week. Polls give you a way to ask the community a question from the Home feed: write a question, add 2 to 5 answer options, set a deadline, and people vote, with results updating live and discussion happening in the comments. Votes are anonymous, and creators see aggregate counts and percentages only. Separately, the Zero to Shipped hackathon is open from September 18 to October 2. You connect your coding agent to AWS, build a real application, and ship it live on AWS for a chance to win a share of a $28,000 prize pool. Five winning projects each receive $5,000 in AWS credits and an AWS Builder swag bundle.

Last week’s launches
Here is what else happened this week.

• Amazon Connect Talent is now generally available – Amazon Connect Talent is an AI-powered hiring solution for talent acquisition teams managing hiring at scale. Informed by decades of Amazon hiring science, it uses AI agents to conduct structured voice interviews, administer evidence-based assessments, and score candidates consistently, so recruiters can focus on final decisions. Candidates interview 24/7 from any device, and recruiters review scores, transcripts, and detailed evaluations the next morning. All candidate data is anonymized during AI evaluation, each competency is scored against a rubric with every score tied to specific evidence from the interview, and recruiters keep final decision authority over every hire. General availability includes competency-based assessments, AI-led voice interviews with adaptive questioning, a brand-customizable mobile-first candidate portal, and admin onboarding tools.
• Amazon Corretto 27 is now generally available – Amazon Corretto 27, a Feature Release version of the no-cost, multi-platform distribution of OpenJDK, is now available for download on Linux, Windows, and macOS, with support through April 2027. Notable features include G1 as the default garbage collector across all environments (JEP 523), post-quantum hybrid key exchange for TLS 1.3 (JEP 527), compact object headers by default for a smaller memory footprint (JEP 534), and JFR in-process data redaction to remove sensitive data from Java Flight Recorder recordings before they leave the JVM (JEP 536). It also continues previews of enhanced pattern matching, structured concurrency, and lazy constants, along with the Vector API incubator.
• Kimi K3 by Moonshot AI is now generally available on Amazon Bedrock – Kimi K3 is now available on Amazon Bedrock for coding and knowledge work. According to Moonshot AI, Kimi K3 is its most capable model and the first open model to reach 2.8 trillion parameters. It combines native vision capabilities with a 1-million-token context window, making it well suited to long-running coding sessions across large repositories, multi-document analysis, and extended agent workflows. Moonshot AI reports an approximate 2.5x improvement in scaling efficiency over Kimi K2. Kimi K3 is the first open-weight model on Amazon Bedrock to support explicit prompt caching, which helps reduce latency and input costs when reusing context across model calls.
• AWS reimagines the getting started experience – We announced a new simplified experience for builders starting a new project. Instead of completing configuration tasks first, you start with sensible defaults: sign up using an existing identity from providers including Google, GitHub, and Apple, and for most new customers no credit card is required, with $100 in free credits as part of the AWS Free Tier. AWS organizes your work in a project, which contains an AWS account and sharing settings, and applies security controls for you. You can invite collaborators by email without setting up IAM users, set a monthly spend limit starting at $20, and activate advanced AWS features later at no additional cost with no migration. The experience is gradually rolling out to new customers.
• New low-cost burstable Amazon EC2 T8i instances are generally available – Amazon EC2 T8i instances, powered by custom sixth-generation Intel Xeon Scalable processors (Granite Rapids), are among the lowest-cost EC2 instances and deliver up to 30% better price performance over previous-generation T3 instances. They are designed for low-to-moderate CPU utilization workloads such as microservices, low-traffic websites, development and testing environments, and small databases. T8i instances deliver up to 70% higher compute performance, up to 1.25x higher network bandwidth, and up to 2.4x higher Amazon EBS bandwidth compared to T3, and they use the same CPU credit system, so upgrading from T3 is straightforward.
• AWS Elastic Beanstalk introduces Cluster Mode – AWS Elastic Beanstalk Cluster Mode is a new fully managed option for teams running a portfolio of applications on shared infrastructure powered by Amazon EKS. Instead of operating each application in isolation, you run multiple applications through one experience with a single operational baseline, so per-application cost decreases as your portfolio grows. You can upload source code in Java, .NET, Python, Node.js, PHP, Ruby, or Go, and Elastic Beanstalk handles containerization automatically through Cloud Native Buildpacks when needed. Cluster Mode includes production-grade deployment strategies with automatic rollback, event-driven autoscaling, AWS Secrets Manager integration, native OpenTelemetry observability, and AI-powered troubleshooting. Standard and Cluster Mode environments run side by side within the same application, so teams can migrate one environment at a time.

For a full list of AWS announcements, be sure to keep an eye on the What’s New with AWS page.

Other AWS news
Here are some additional posts you may find useful:

• Building in the AWS European Sovereign Cloud – Two new posts cover building on the AWS European Sovereign Cloud, an independent cloud for Europe that runs as a distinct partition with its own control plane, IAM, billing, console, and service endpoints, and its first Region in Brandenburg, Germany. The first post walks through architecting a secure landing zone, covering account structure and governance, identity as infrastructure as code, centralized logging, data protection, and partition-aware ARN construction that works across AWS partitions. The second announces the general availability of Gemma 4 open-weight models on the Amazon Bedrock next-generation inference engine in the AWS European Sovereign Cloud, with inference staying entirely within eusc-de-east-1 under a zero data retention and zero operator access model.
• The new AgentCore runtime: elastic, optimized, and consistently fast starts – We announced a new version of the Amazon Bedrock AgentCore runtime, the managed compute layer for running agents. The new runtime reclaims memory as a session releases it rather than holding it at the peak, so the bill tracks real usage over the life of a session. It also delivers consistent cold start times regardless of container image size or concurrency by preparing the environment once, snapshotting it, and restoring that snapshot for each new instance. In testing with an empty echo agent, the new runtime delivered a P75 cold start of about 2 seconds from a 200 MB image up to 2 GB, compared to roughly 5.4 to nearly 30 seconds for the original runtime.
• Introducing the updated AWS Well-Architected Streaming Media Lens – We published a revised Streaming Media Lens, which provides architectural best practices for video streaming workloads. The revision expands from the original 2021 version to cover five streaming scenarios, including interactive live streaming with Amazon IVS Real-Time Streaming for up to 25,000 concurrent viewers, low-latency live streaming, and ad-supported content monetization, alongside enhanced video-on-demand and live streaming guidance. It also adds new sustainability best practices focused on reducing carbon footprint, expanded observability and incident-response frameworks, and advanced content protection with multi-layered DRM and forensic watermarking. The lens whitepaper and custom lens are available now.

For a full list of AWS blog posts, be sure to keep an eye on the AWS Blogs page.

Upcoming AWS events
Check your calendar and sign up for upcoming AWS events:

• AWS re:Invent – AWS re:Invent returns to Las Vegas from November 30 to December 4. 2, 200+ session times, locations, and speakers are live. Reserved seating for AWS re:Invent opens October 6. Register now and be ready to claim your spot in chalk talks, workshops, and builders’ sessions when reserved seating opens.
• AWS Summits – AWS Summits are free in-person events covering cloud and AI. With re:Invent on the horizon, the Summits are coming to an end for the year. The last Summit is Dubai (September 30) at the Dubai World Trade Center, with 60+ sessions, an AWS Village, and hands-on workshops.
• AWS Community Days – Community-led conferences planned and delivered by community leaders. Upcoming events include Lebanon (September 26), Malaysia, Kuala Lumpur (September 26), Cebu, Philippines (September 26), Davao, Philippines (September 26), ComSum Manchester, UK (October 1), and Italy, Rome (October 2).

Summer has officially given way to September, but the weather where I am has not quite caught up. The days are still unusually warm, and I suspect these are the last mild afternoons before autumn settles in for good. I am making the most of them while they last. Come back next week for more!

— Esra

The post AWS Weekly Roundup: AWS Builder Center mobile apps, Amazon Connect Talent GA, Amazon Corretto 27, and more (September 21, 2026) appeared first on The NOKIA Blog.

The templates in this collection cover many common production needs, including titles, logo reveals, slideshows, video openers, intros, lower thirds, animated typefaces, and icons. Some provide a complete sequence, while others handle one specific part of a larger edit. Colors, typography, footage, audio, and timing can usually be changed to suit personal and client projects.

Free templates vary considerably in quality. Some are carefully organized and include helpful documentation, while others may require fonts, plugins, presets, or older versions of After Effects. Checking these details before downloading will save time later.

The best results come from treating an After Effects template as a foundation rather than a finished design. Small changes to the pacing, type, color, and movement can make a familiar animation feel far more appropriate for your content. The collections below offer plenty of options for different styles, skill levels, and video formats.

What to Look for in an After Effects Template

A polished preview does not tell you everything about a template. Before downloading, check how the project was built and whether it will work with your version of After Effects.

• After Effects compatibility: Confirm the minimum version required to open the project.
• Plugin requirements: Check whether the template relies on paid or third-party plugins.
• Included assets: See whether fonts, sound effects, music, footage, and images are supplied or need to be downloaded separately.
• Project dimensions: Check the resolution, frame rate, orientation, and duration.
• Layer organization: Clearly named compositions, layers, and placeholders will make editing much simpler.
• Documentation: Look for written instructions or a video showing how the main controls work.
• License terms: Confirm whether commercial and client work is permitted and whether attribution is required.

Titles After Effects Templates

A title sequence is often the first design element viewers see, so typography, timing, and movement all matter. Even a simple title can give a video personality and prepare the viewer for what follows.

Designing animated titles from scratch is rewarding, but it can also take hours of testing keyframes, transitions, and effects. A good template handles much of that groundwork while leaving plenty of room for your own creative choices.

This collection features free title templates for a range of styles and project types. Each can be customized in After Effects with your preferred text, colors, fonts, and timing to create an opening that fits your video.

800+ Text Effect Elements for After Effects

This extensive After Effects template includes over 800 animated text effect elements. Each element is easy to edit with simple text and color controls. These text elements are perfect for bold titles, clean openers, and social videos that need modern animated typography.

2001 Space Odyssey Movie Titles for After Effects

Free to Download

This free title template recreates the 2001 Space Odyssey film’s familiar typography style and effects in After Effects. You can quickly adjust the text size and spacing for unique branding while honoring the original 2001 look.

Retro Movie Titles for After Effects

Try the Retro Movie Titles template if you’re looking for retro-style typography. The template comes with easily editable layers and full color control, making it easy to customize the title to match your brand.

Glitch Text Maker for After Effects

The glitch effect will help make your videos stand out. This template pack makes it easy to add your own text and is a perfect choice for anyone looking for a retro or vintage effect.

Switch To Text Box Titles After Effects Template

Free to Download

This free kinetic title template includes seven scenes with two media placeholders. Each element is labeled to help speed up the editing process, and the design is suitable for various purposes, including corporate slideshows and personal videos.

Liquid Animation Titles for After Effects

This well-organized title animation opener template is ideal for promoting anything. It contains 110 animated elements pre-rendered into .mov files with a JPEG + Alpha codec. It also includes nine pre-designed text scenes, and you can easily add more.

Flipped Titles After Effects Template

Free to Download

Flipped Titles is a clean and well-organized free template for After Effects. It includes seven unique full-screen titles with some cool and creatively animated effects.

Simplicity Title Pack for After Effects

This After Effects pack includes over 60 different titles. The titles are modern and minimal, making them suitable for most projects.

Swirling Letters Title Template for After Effects

Free to Download

Add a simple yet impressive title to your next video project with this free swirling letters titles template. Easily add a video, edit the text, and match your colors to make this title template your own.

Elegant Serif Titles for After Effects

If you’re looking for an elegant After Effects Title template, look no further than this template pack. It includes 16 different typography styles and a detailed help file to help you customize the project to your needs.

Poly Titles After Effects Titles & Graphics

Free to Download

These title templates will come in handy if you want to give your titles an abstract look and feel. The template includes nine different titles and graphics, and it is easy to customize with your own colors.

4K Rolling Titles for After Effects

This modular 4K After Effects template includes 10 title scenes with up-and-down rolling text animations. It offers editable timing controls and easy text customization. It is ideal for openers, title sequences, or social media videos that need modern kinetic typography.

Basic Animated Titles for After Effects

Free to Download

This free After Effects template includes animated titles and lower thirds in a clean, minimal style. It’s simple to edit with text placeholders and color controls. Great for presentations, YouTube videos, or social content that needs clear and simple text animation with no extra setup.

4K Fullscreen Titles for After Effects

Free to Download

This 4K After Effects template includes nine full-screen animated titles. Each title template is fully editable with text and color controls. These clean titles are ideal for openers, presentations, or promotional videos that need a clear, modern, and simple title animation.

Clean & Simple After Effects Titles

Free to Download

This free titles template has a modern aesthetic, with smooth animations and beautiful typography. The title is easy to customize with editable text and color controls. It is perfect for corporate videos or presentations that need a quick title animation with a professional look. It is compatible with After Effects 2023 and above.

Minimal Titles Pack for After Effects

Free to Download

This Free Minimal Titles pack includes 20 animation styles and titles and a royalty-free music track that can be used even in commercial projects. To use it, you just need to add your text and render the file.

Tagline Bold Title Template for After Effects

Free to Download

Make your headlines pop with this bold titles template. It is a collection of 25 free-to-download titles that can be quickly customized to match your brand.

Cinematic Title Style Library for After Effects

Free to Download

This style library for After Effects and Adobe Premiere is a great way to add style to your titles without wasting time creating them from scratch. You can quickly download and import this style library and use it in your projects.

Pop-Up Titles After Effects Templates

Free to Download

If you’re looking for stylish typography, use this free pop-up title template for After Effects. The template allows you to edit the text and customize your titles’ colors and duration.

Classic Kinetic Titles for After Effects

Free to Download

Free Classic Kinetic Titles is a universal and multi-purpose title template perfect for your company’s business presentations. The project includes a color controller for quick changes and editable text layers.

Modern After Effects Titles Template

Free to Download

If you’re looking for a smooth and elegant title pack, check out this pack of six free After Effects titles. The titles feature a fresh and modern style that’s perfect for young startups and small businesses.

Logo Reveal After Effects Templates

Logo reveals turn a static brand mark into a short animated sequence. By combining motion, sound, and visual effects, they give a logo more presence at the beginning or end of a video.

The best logo animations are usually brief. A few well-timed movements can say more than an overly complicated sequence, whether the logo belongs to a global company, a local business, or a personal creative project.

The free After Effects templates below cover styles ranging from restrained and minimal to energetic and cinematic. They can be adapted for promotional videos, presentations, social media, YouTube channels, and client work, subject to each template’s license.

Typographic Logo Intro for After Effects

This logo reveal or intro template uses bold typography and kinetic transitions to present your brand beautifully. It is easy to customize. Simply swap in your logo, edit the text, tweak the colors, then render. It would be an ideal template for app launches or brand reveals.

Click Three Logo Reveals for After Effects

Free to Download

This free After Effects logo pack includes three reveals in a modern and minimal style. They include a simple circle reveal, a mouse click-to-reveal, and an animated button push.

White Scroll Logo Reveals for After Effects

If you’re looking for a more classic-style logo opener, try the White Scroll logo reveal. The template comes with three background versions and three different logo placement options.

Glitch Logo Reveal for After Effects Templates

Free to Download

This free After Effects logo reveal template uses pixelation and static noise to give your logo reveal a glitchy look and feel. This is a great template for gaming content or digital-themed videos.

Search Logo Reveal for After Effects

A unique way to reveal your logo is to use an animated search bar with a sample question. Your logo then shows up as the answer. You can customize the text and quickly drop in your logo.

4K Logo Reveal After Effects Template

Free to Download

This logo reveal template would be great for a startup or a small business. It is easy to use and includes detailed instructions on how to customize and render your logo reveal project.

Battle Logo Reveal for After Effects

The Battle Logo Reveal template would be perfect for a sports or gaming brand. It comes with a detailed help file, a logo placeholder, and an extensive set of backgrounds that you can use to customize your logo reveal.

Hi-Tech Logo Reveal for After Effects

This premium animated logo reveal features a dark blue background paired with light blue HUD elements. It’s a perfect logo template for any tech company looking to stand out online.

Super Logo Reveal After Effects Template

Free to Download

This free logo reveal template features a clean and high-energy animation with bold transitions and dynamic light effects. It’s very easy to customize. All you have to do is drop in your logo and edit the colors or background. It is perfect for intros, brand openers, or YouTube channels that want a sharp, professional-looking logo animation without any extra setup.

Clean & Light Logo After Effects Template

Free to Download

This simple 4K logo reveal template is super-easy to make your own. All you have to do is swap out the logo placeholder and edit the text layer. It is compatible with After Effects CS6 and above.

MoGraph Logo Reveal After Effects Template

Free to Download

This logo reveal template uses MoGraph Lines. They are animated lines used to connect elements and add flow or rhythm to animated scenes. The template is compatible with After Effects 2022 and above.

MoGraph Logo Reveal Template

Free to Download

The MoGraph in this logo reveal templates are animated geometric elements used to create movement or transitions within a composition. This bold style is perfect for many business types. It is compatible with After Effects 2022 and above.

Another 2D Logo Introduction Template

Free to Download

If you’re looking for a 2D style logo reveal, try this 2D logo introduction Template. This template allows you to easily customize the colors and insert your own logo. It also includes a detailed help file.

Three Animated Logo Reveals for After Effects

Free to Download

This free template pack contains three different logo reveals suitable for any corporate video. This template is an excellent choice for a modern and professional logo reveal.

4K Logo Reveal v.1 After Effects Template

Free to Download

This elegant logo reveal would be perfect for a high-end fashion or luxury brand. The template includes logo placeholders, editable text layers, and an intelligent color controller.

Fast Flip After Effects Logo Reveal Template

Free to Download

The free Fast Flip After Effects logo reveal template is a great starting point if you’re on a budget. It uses stock photography, which you can replace with photos of your team or company to reveal an elegant logo at the end. All you have to do is customize the colors, replace the images, and add your logo.

Blue Action Logo Reveal After Effects Template

Free to Download

Try the Blue Action Logo Reveal template if you’re looking for a minimalist logo opener. It features a dynamic animation style, and includes a logo placeholder and editable text layers. You can also easily adjust the colors.

Hiro Anime-Inspired Logo Reveal for After Effects

Free to Download

Try this logo reveal template if you’re looking for an action-packed, hi-tech animation style. To edit the project, drop your logo or text into the logo composition and then render the project.

Hi-Tech Logo Reveal After Effects Template

Free to Download

If you want a logo reveal template designed in a Matrix-style, try the Hi-Tech Logo Reveal template. This template contains two color versions, logo placeholders, and two editable text layers.

Slideshow & Gallery After Effects Templates

A good slideshow depends on more than placing images in sequence. The order, timing, transitions, and music all influence how the work is presented. It can be used to showcase a portfolio, document an event, tell a visual story, or bring a set of photographs to life.

Galleries take a slightly different approach, displaying several images within the same composition. Grids, frames, and animated layouts allow related photos to be viewed together without making the screen feel crowded.

Building every layout and transition from scratch takes time. The free After Effects slideshow templates below have the structure, while giving you control over the images, colors, typography, pacing, and soundtrack.

Wall Gallery Photo Slideshow for After Effects

This After Effects template gives you a wall gallery-style photo slideshow with smooth camera moves and realistic lighting. It includes multiple image placeholders and editable text layers. It would be excellent for weddings, personal portfolios, or family photo collections.

Bold Slideshow for After Effects

Try the Bold Slideshow if you want a bold and colorful look. This template includes a detailed help file, editable placeholders and text layers, and full color control so you can easily customize the colors to match your brand.

Old Slideshow After Effects Template

Free to Download

The Old Slideshow template is an excellent choice if you’re looking for a retro-style gallery or slideshow. The template comes with full-color control, so you can easily customize the color scheme.

Wall Slideshow for After Effects

Try the Wall Slideshow if you want a cool-looking, modern gallery to display your family photos and albums. The template is easy to customize and comes with full-color control.

Modern Zoom Telescopic Slideshow After Effects Template

Free to Download

This Modern Zoom Telescopic Slideshow Video features a unique zoom effect visualized through a telescopic transition. It also includes multiple light leaks and six image placeholders.

Slideshow Constructor for After Effects

This template features a vintage-style slideshow of polaroid photos. It’s a great choice if you want to combine all your photos and create a truly unique photo album.

Parallax Scrolling Slideshow After Effects Template

Free to Download

Parallax is a popular animation effect used on many websites. Thanks to this template, you can also use the effect in your videos. This template contains nine image or video placeholders and nine text placeholders.

Creative Slideshow After Effects Template

This Creative Slideshow template features a dynamic, fast-paced animation style and bold typography. It would be perfect for a corporate video presentation and includes full-color controls and editable text layers.

Stylish Slideshow Template for After Effects

Free to Download

This free After Effects slideshow template includes 23 image or video placeholders and six text layers. It has smooth transitions, clean animation, and allows for simple customization. Replace the media, edit the text, and render. It would be great for photo reels, travel videos, or quick promo videos.

Romantic Photo Slideshow Template for After Effects

This After Effects template creates a polaroid-style photo slideshow with a rustic aesthetic. It includes multiple media and text placeholders and would be perfect for wedding photoshoots, travel reels, or event highlights that need a vintage or a touch of romance.

Digital Film Strip for After Effects

Free to Download

This free After Effects template features a digital filmstrip animation with photo or video frames moving in sequence. It includes 18 media placeholders and 10 text layers. The layout is simple to edit and renders in full HD. It is compatible with After Effects CS4 and above.

Fast Slides After Effects Slideshow Template

Free to Download

Use this template if you’re working on a video that needs fast-moving animation. This slideshow would be perfect at the beginning of a video to introduce the different concepts.

Modern Tile Slideshow After Effects Template

Free to Download

The Modern Tile Slideshow is an excellent choice for professional and corporate videos. The slideshow template features a unique, tiled look and a 3D tile drop-down effect to reveal your images and transition between them in 3D. The template also includes multiple light leaks.

Dynamic Colorful Slideshow After Effects Template

Free to Download

This dynamic template features a modern and colorful style paired with minimal typography. It’s an excellent choice for both business and personal video slideshows. The template includes 23 media placeholders, 19 editable text layers, and an intelligent color controller.

Stylish Spinning Columns Slideshow After Effects Template

Free to Download

Consider the Stylish Spinning Columns Slideshow Template if you’re working on a high-end project. The template includes six image placeholders, a modern spinning column transition effect, and multiple light leaks.

Elegant Slideshow After Effects Template

Free to Download

This After Effects template is perfect for corporate and business slideshows. The template features elegant slide transitions and includes several placeholder images. You can easily add more and customize text and colors to match your brand.

After Effects Slideshow Templates

Free to Download

In this template, you will find 14 image placeholders arranged in a stunning grid layout. Thanks to the intelligent color controller, you can easily adjust the colors and replace the text with your own.

Clean Slideshow After Effects Templates

Free to Download

If you want a clean slideshow that you can use to present your family photos or if you need a clean slideshow for a corporate project, the Clean Slideshow template is the right choice. It features a stylish design, simple text animations, and smooth transitioning effects.

Opener After Effects Templates

Video openers have a lot to accomplish in a short amount of time. They combine footage, typography, graphics, and sound to establish the pace of a video before the main content begins.

Getting those elements to work together can involve detailed editing and plenty of keyframes. A pre-built template provides the timing and structure, while After Effects presets can help with individual animations and effects.

This collection includes free After Effects opener templates for YouTube videos, presentations, promotions, event films, and other creative projects. The styles range from quiet and minimal to fast, colorful, and effects-heavy. Replace the sample footage and text, adjust the colors, add your soundtrack, and shape the opener around your own content.

Colorful AE Opener Template

This creative and colorful opener template works well for travel, fashion, or kids’ brands. It’s also a great choice for simple video or photo slideshows, showreels, corporate presentations, or even a family album.

YouTube Opener for After Effects

Free to Download

This classic YouTube opener can be used in business and corporate projects. It comes with full-color control, and you can easily change the text and other elements to make it your own.

Glitch Media Opener for After Effects

Try this Glitch Media opener template for any grunge or retro-style video project. It comes with a detailed help file, animated fonts, and full color control

Mozaic Opener for After Effects

This mosaic opener template is versatile and works for many types of projects. It has a unique mosaic design, and you can easily add your own text and change the colors.

Colorful Sketch Speech Opener for After Effects

This After Effects opener has a fun, hand-drawn style with doodle textures and comic-style speech bubbles. It comes with six editable text spots, a logo slot, and a photo cut-out. It’s great for social media clips, creative presentations, or talk-show intros.

Good News Opener Template for After Effects

Free to Download

This After Effects opener uses bold text, smooth animation, and bright transitions to create a fresh news-style intro. The template is easy to edit with text and media placeholders. Replace the footage, update the titles, and render, and your intro will be ready.

Animated Slideshow Opener for After Effects

Free to Download

This slideshow-style opener template uses clean transitions, a simple layout, and subtle motion to present your photos or video clips. Just swap the placeholders with your media, edit the text and colors, then render. It is compatible with After Effects 2022 and above.

Dynamic Style Opener Template for After Effects

Free to Download

This free 4K opener template provides a rapid editing setup for Adobe After Effects. It supports multiple aspect ratios (horizontal, vertical, and square). Use the horizontal format for YouTube, the vertical format for social media, and the square format for posts.

Dynamic & Fast After Effects Opener

This is another opener template that would work well for a company that targets a young audience. It features an energetic, fast-paced animation style. It comes with 16 image or video placeholders and six text placeholders.

Web Presentation Template for After Effects

Free to Download

This free After Effects template includes eight scenes and a logo reveal, making it ideal for promoting digital products or online services. It includes 45 text placeholders, 12 media placeholders, and a logo placeholder, along with color controllers for quick customization.

Parallax Opener for After Effects

Free to Download

If you’re looking for a stylish and elegant opener, look no further than this parallax opener. The template includes a stunning parallax animation with eight editable text layers, eight photo or video placeholders, and one logo placeholder.

Creative After Effects Opener

Try this template if you’re looking for a modern opener. It features a fast-paced animation in a slideshow style. You can easily change the colors and fonts, add your own elements, and render the project.

Elegant Corporate Intro AE Template

This elegant intro template can be used in corporate-style videos, weddings, or fashion projects. It includes eight text and image placeholders.

Short Opener After Effects Template

Free to Download

If you need something simple to quickly create a video opener, this is the free After Effects intro template you need. The template is as simple as possible, and you can easily customize colors and add your chosen text.

Glitch Effect Intro for After Effects

Free to Download

Looking for a sleek and edgy way to introduce your video? Check out this glitch template for After Effects. The best part is that no plugins are required – simply edit and render. Even if you’re new to After Effects, you’ll find this glitch intro template easy to customize to your needs.

Instagram Opener for After Effects

Free to Download

Use this opener to engage your Instagram or YouTube followers and stand out in their feed. The template comes with 27 image and video placeholders, 20 editable text layers, and one logo placeholder.

Modern Website Presentation AE Template

If you need a creative and unique way to present your design client work or portfolio, try this modern website presentation template. You can also use it to showcase your website templates or CMS themes.

Clean & Elegant After Effects Intro Templates

Free to Download

This free After Effects intro template comes with 15 image placeholders and can be used for corporate videos or any video promoting a fashion or jewelry brand.

Intro After Effects Templates

An intro gives recurring video content a consistent identity. It can combine a channel name, series title, logo, short clips, and music into a sequence that viewers soon recognize.

The most effective intros are usually short enough to avoid delaying the main content. Clear typography, purposeful movement, and well-timed sound can establish the visual style in just a few seconds. They work particularly well for YouTube channels, podcasts, tutorials, episodic content, and branded video series.

These free After Effects intro templates provide the animation and timing needed to build your sequence. Add your logo, replace the text and footage, adjust the colors, and choose music that fits the character of your content.

Boiled Down Intro After Effects Template

Free to Download

The Boiled Down opener template makes things bold and fast. It has six media placeholders, one logo slot at the end, and 17 text-replaceable comps. The resolution is 4K, and it is compatible with After Effects 2020 or later.

Big Bold Typography Intro or Opener

This free opener template, as the name suggests, features overly large, bold text and some lovely clip transitions. It would be perfect as the opener or intro of any travel or vacation-related video.

Retro Wave Intro AE Template

Free to Download

This free Retro Wave Intro template is perfect for any vintage or retro project. The template has a colorful design, two editable text layers, one logo placeholder, and a full-color controller.

Cyberpunk Intro for After Effects

If you’re a fan of the cyberpunk style, don’t miss this Cyberpunk Intro. This is an excellent choice if you want to have a cinematic look in your videos, and it would also be an ideal fit for a tech company.

Smooth After Effects Intro Template

Free to Download

This free intro template features bold titles and duotone colors. You will get five image or video placeholders, four text placeholders, one logo placeholder, and a custom color controller.

Scribble Logo Intro for After Effects

Free to Download

This free After Effects template displays your logo with a hint of elegance. The animation starts by outlining your logo and gradually reveals the full design. The animation’s simplicity adds to its beauty, making it the ideal choice for anyone looking for a refined, polished way to showcase their brand.

Business Intro for After Effects

Free to Download

This bright, clean After Effects intro template features seven media and seven text placeholders. It features an elegant animation perfect for corporate or business video projects.

Lower Thirds After Effects Templates

Lower thirds may occupy a small part of the screen, but their design still requires careful thought. Names, job titles, locations, and other details need to be readable without drawing attention away from the footage.

Good lower thirds use clear type hierarchy, controlled movement, and enough contrast to remain legible against different backgrounds. They are useful for interviews, documentaries, news videos, presentations, YouTube content, and branded productions.

These free After Effects lower-third templates offer a range of layouts and animation styles. Each can be edited to match your visual identity by changing the typography, colors, timing, shapes, and displayed information. Some collections also include several coordinated designs for speakers, locations, captions, and social media details.

Lower Thirds B&W After Effects Template

The Lower Thirds After Effects template features a classic black-and-white style. Your text appears as a stylish box, and you can easily edit the colors and adjust the text and the duration.

4K Lower Thirds for After Effects

Free to Download

This huge template pack includes 24 lower third templates in a bold and colorful style. You can easily adjust the colors to match your brand and set your desired duration.

Titles & Lower-Thirds for After Effects

Another combo pack, this titles and lower-thirds After Effects template features a modern and minimal style that can be used in various video projects. This template comes with full-color control and a detailed help file.

20 Minimal Lower Thirds for After Effects

Free to Download

If you love minimalism, try this free lower third pack. The template includes 20 lower thirds and ten premade color schemes. Customize the colors, set the duration, replace the text, and render your project.

After Effects Titles & Lower Thirds

This After Effects template pack includes titles and lower thirds, so it’s an excellent choice for those who need both for their video projects. The template is incredibly easy to edit as it comes with text boxes that automatically adjust to your text size and width.

Sports Lower Thirds Template for After Effects

Free to Download

This free sports-themed lower thirds template features a callout with a performance chart and space for a headline and profile picture. With its modern and classy design and customizable features, this template is a great way to add some extra flair to any sport-related video.

Image Lower Thirds & Titles After Effects Templates

Free to Download

This creative and colorful pack of lower thirds also includes images and cartoon-style icons that you can use for extra eye candy. The package comprises 15 titles, lower thirds, and a detailed help file.

Elegant Lower Thirds Templates for After Effects

Free to Download

Consider this template if you’re looking for an elegant lower thirds template. It comes with lower thirds, transitions, a logo reveal, and more. With five text placeholders and a spot for your logo and tagline, this template is an excellent choice for corporate videos.

Flat Lower Thirds After Effects Template

Free to Download

This simple lower thirds template has been designed in a flat and modern style. It features a circular call-out container that’s easy to use and customize. It’s an excellent choice for modern companies and businesses.

Stylish Lower Thirds After Effects Template

Free to Download

This is another elegant and stylish After Effects template with four different graphics. All the text layers and colors are easy to edit, and the project renders super fast, which makes it an excellent choice if you have a rush project.

Dynamic Lower Thirds AE Template

Free to Download

This dynamic template offers eight beautiful animations that you can fully customize with colors of your choice. With 24 text placeholders, you can quickly replace them and enjoy fast rendering. These lower thirds are a great way to add visual appeal to your next video.

Modern Call-Out After Effects Template

Free to Download

This free lower thirds template includes a left-to-right call-out with floating rating sliders underneath. It’s perfect for brands, businesses, and projects that want to add a touch of modern style to their videos and presentations.

Animated Box Entrance Lower Thirds Template

Free to Download

This modern, beautifully designed free lower thirds template features two call-out boxes, a flawless entrance animation, and a bounce effect.

Animated Text & Font Templates for After Effects

Animated typefaces give individual letters their own movement and character. Text can bounce, stretch, rotate, flicker, or appear one character at a time, making them a playful option for video titles, captions, and short promotional graphics.

Rather than animating every letter by hand, these After Effects templates include pre-built animations, text placeholders, and adjustable controls. You can type your own words, change the colors, refine the timing, and combine different letter movements to suit the project.

The free animated typefaces in this collection cover several visual styles, from clean geometric movement to rough, hand-drawn effects. They are particularly useful for music videos, social media clips, opening credits, and other projects where typography takes a leading role.

PolyNoise Alphabet Animated Typeface

This animated typeface features a glitchy look, so it’s perfect for videos that use glitchy animations. The colors are easy to customize, and you don’t have to worry about dropping each letter on a separate timeline with this typeface.

Alquimia Animated Font

Free to Download

The Alquimia Animated Font has a truly unique look. The font can be freely used in both personal and commercial projects, and you can easily modify the colors.

Paper – Grotesque Shady Animated Typeface

The Paper is a perfect choice if you’re working on a video that requires a creative touch. The font includes a full alphabet, numerical characters, basic currency symbols, and basic math symbols.

Neon Animated Typeface for After Effects

Free to Download

This free preset includes all 26 letters, numbers (0-9), and After Effects AEP file for quick customization. The preset’s glowing neon aesthetic will create an energetic and modern look and feel to any After Effects creation.

Helvetica Neue Free After Effects Template

Free to Download

Consider the Helvetica Neue animated font if your next project needs an elegant or classic touch. This After Effects template font has 43 unique letter, number, and punctuation compositions.

Sketch Animated Font After Effects Template

Free to Download

The Sketch Animated Font is perfect if you want a handwritten look and feel. It includes capital letters, lowercase letters, numbers, and punctuation marks.

Paint on Animated Typeface

The Pain On animated typeface is a must-have if you want to add a unique style to your videos. Each character paints white, black, and blue colors, which can easily be customized to match your own brand colors.

Animography Animated Font for AE

Free to Download

The Animography font is a full-featured animated font created as a collaborative project between 110 animators and one designer. It has a distinct, bold look and can be used for corporate videos.

Animated Icon Templates for After Effects

Static icons already communicate a lot with very little space. Add movement, and they can also show an action, change of state, or response. A loading symbol can rotate, a notification can pulse, and a button can confirm that it has been selected.

These small animations work well in app demonstrations, interface presentations, explainer videos, infographics, and social media content. Careful timing keeps the movement clear without distracting from the information around it.

The free animated icon templates below save you from keyframing every shape individually. They include coordinated icon sets in several styles, with controls for adjusting colors, scale, timing, and movement to match the rest of your project.

Technicons Animated Business Icons for After Effects

Free to Download

Technicons is a set of technical icons for After Effects. This icon pack comes with 30+ animated icons, and you’ll also find a variety of business icons, making this pack suitable for all kinds of projects.

Animated Icon Set for Video Editors

Free to Download

This free icon pack includes 20 different icons for business and personal projects. The icons are all pre-rendered footage, so you can use them in any video editing or motion graphics software. The project file is also included in the download.

390 Animated Icons for After Effects

This is another icon pack with a large selection of icons for business, technical, and other types of videos. The icons feature a modern, flat design, and you can change the size and color of each icon.

Animated Technical Icons for After Effects

Free to Download

This creative icon pack has 15 icons perfect for any technical niche. The template’s intelligent color controller makes it easy to customize the icons with your brand colors.

Social Media Icons for After Effects

Consider this social media icon pack if you’re looking for icons with a unique design. This icon pack is an excellent choice for any food-related business or brand that specializes in children’s products and uses video as part of its marketing strategy.

AE Animated Social Icons Pack

Free to Download

Check out this free icon pack if you need social media icons for your project. You’ll find icons for all major social media networks, and you can use the default colors or customize them with your own.

Flat Animated Icons Library for After Effects

This icon pack includes an impressive 1,000 icons covering almost any niche. You’ll likely use this library repeatedly in your projects, especially since it was designed using flat design.

Anicons: Customizable Icon Library for After Effects

Free to Download

Consider the Anicons icon pack if you want a complete icon library that can easily be customized. The icon pack allows you to quickly animate and adjust the icon parameters easily. The package contains 40+ icons.

How to Install an After Effects Template

Most After Effects project templates do not need to be installed. They are downloaded, extracted, and opened like any other project file. Keep all supplied folders together so After Effects can locate the linked assets.

• Download the template and extract the ZIP archive to a dedicated project folder.
• Read the included documentation before opening or moving any files.
• Check the required After Effects version, fonts, and plugins.
• Open the supplied .aep file through File > Open Project.
• If After Effects converts an older project, save the converted version as a new file.
• Relink missing footage, images, or audio when prompted.
• Open a .mogrt file through File > Open Project when it needs to be edited in After Effects. Templates intended for Premiere Pro should be added through its Graphics Templates panel.

How to Customize an After Effects Template

Template creators organize projects differently, but most use clearly labeled compositions and placeholder layers. Work on a duplicate of the original project so you can return to the untouched version if an edit causes problems.

• Open the main composition and identify the editable text, image, video, and logo layers.
• Replace placeholder media while preserving its position, scale, and timing.
• Edit the text, then check that longer words do not extend beyond the composition.
• Change the colors and fonts to match the project rather than the preview.
• Adjust keyframes or layer durations when the original animation feels too fast or slow.
• Review any controller, Essential Properties, or Effect Controls layers supplied by the creator.
• Preview the entire sequence before rendering to catch missing media, clipped text, or abrupt cuts.

Tips for Improving Performance

Templates can contain large footage files, complex effects, 3D layers, and many nested compositions. A few temporary adjustments can make editing and previewing them much more manageable.

• Reduce the preview resolution to Half or Quarter while editing.
• Use a Region of Interest when working on one small part of the composition.
• Keep source files and the disk cache on a fast local drive when possible.
• Close unused panels and other memory-heavy applications.
• Temporarily disable motion blur, depth of field, shadows, and demanding effects.
• Use proxies or pre-rendered compositions for large video files and complex scenes.
• Remove unused footage and compositions from a working copy of the project.
• Clear the memory and disk cache if previews become unreliable or storage space runs low.

Final Thoughts & Recommendations

The most useful After Effects template is rarely the one with the busiest preview. A simpler project with clear controls, organized layers, and restrained animation is often easier to adapt and more useful across different types of work.

Choose a template that suits the pace and purpose of the video. A rapid sequence may work well for an event promo but feel out of place in a documentary or portfolio presentation. Typography and movement should support the content rather than compete with it.

Before committing to a template, check its license, After Effects version, plugin requirements, and included assets. Open the project and test a short section before replacing every placeholder. This can reveal performance issues or missing dependencies early in the process.

Finally, spend time changing more than the sample text. Adjust the timing, type choices, colors, transitions, and sound so the finished sequence belongs to the wider project. Free After Effects templates can remove hours of setup, but thoughtful editing is what stops the result from looking like the original preview. Keep an untouched copy nearby, make deliberate changes, and give the animation enough space to do its job.

More After Effect Templates

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