AWS Releases
Amazon Web Services releases and Terraform AWS provider. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 678 AWS releases · Updated
- AWS News Blog blogaiinfraawsengineer ·
AWS Weekly Roundup: New instances, AI, OpenSearch, and service lifecycle updates
AWS announced several new features and updates, including Graviton5-powered EC2 instances, CloudFormation Express mode, EKS version rollbacks, and ACME support in ACM. New AI capabilities include Claude Sonnet 5 on AWS, Amazon WorkSpaces for AI agents, and SageMaker AI enhancements. Additionally, the update details several AWS service lifecycle changes, including services moving to Maintenance, Sunset, and End of Support phases.
feature patch deprecation announcement - AWS News Blog blogaiawsengineeraws-bedrock ·
Amazon Bedrock Managed Knowledge Base simplifies enterprise AI data integration
AWS announced Amazon Bedrock Managed Knowledge Base, a new capability for building enterprise-grade generative AI applications using proprietary data. It simplifies the complex process of connecting to disparate data sources, optimizing retrieval-augmented generation (RAG) accuracy, and managing scalable infrastructure. This managed primitive abstracts away RAG pipeline components, allowing developers to focus on outcomes. It offers native data connectors, automatic parsing strategies, and an "Agentic Retriever" for complex queries, aiming to accelerate development and improve AI application accuracy. It's available now in the Amazon Bedrock AgentCore and Bedrock consoles.
feature - AWS News Blog blogaiawsgaengineer ·
AWS Summit New York: Key announcements in AI agents, security, and developer tools
AWS announced significant updates at its New York Summit, focusing on enhancing AI agents with new knowledge connection and retrieval capabilities via Amazon Bedrock. Key features include improved agent security with AWS Continuum, faster development cycles with tools like Kiro and AWS DevOps Agent, and enhanced data context with Amazon S3 annotations. These advancements aim to empower developers and enterprises to build, secure, and deploy more capable AI-driven applications and autonomous workflows. Notable updates include Amazon Bedrock Managed Knowledge Base, Web Search on Bedrock AgentCore, and new Amazon ECS auto-scaling capabilities.
feature announcement - AWS News Blog blogaiawsengineeraws-ec2 ·
AWS Weekly Roundup: AI CX Designer, EC2 AMI Watermarks, Open Governance for MySQL
AWS announced several updates, including a no-code AI-powered customer experience designer for Amazon Connect in preview, and EC2 AMI watermarking for private image identifiers. Lambda MicroVMs offer isolated compute with near-instant launch, while MSK and OpenSearch Service gain AI-assisted operational guidance. These updates aim to accelerate AI adoption and improve infrastructure management for developers and business teams.
feature announcement patch - AWS What's New aiawsgaengineeraws-bedrock ·
OpenAI GPT-5.6 models now available on Amazon Bedrock
Amazon Bedrock now offers general availability for OpenAI's GPT-5.6 family of models: Sol, Terra, and Luna. These models provide enhanced intelligence and efficiency for complex problem-solving, with Sol for reasoning, Terra for balanced performance, and Luna for cost-efficient inference. They are accessible via the Responses API and are available in specific AWS regions, supporting features like prompt caching for cost savings.
feature announcement - AWS What's New aiawsengineeraws-sagemaker ·
SageMaker HyperPod now supports custom AMIs for Slurm clusters
Amazon SageMaker HyperPod now allows custom AMIs for Slurm-orchestrated clusters, simplifying the deployment of pre-configured, security-hardened environments for AI/ML workloads. This addresses challenges with complex lifecycle scripts, enabling faster startup times, improved reliability, and enhanced security compliance. The feature is available in all supported AWS Regions and can be specified via several SageMaker APIs.
feature - AWS What's New aiawsengineeraws-iam ·
Amazon DocumentDB added as a skill to AWS Agent Toolkit
Amazon DocumentDB is now available as a specialized database skill within the Agent Toolkit for AWS, enabling AI coding agents to manage clusters via guided workflows. This integration aims to reduce errors and accelerate development by automating complex operations like provisioning, migration, and optimization. The skill supports seven distinct workflows and can be executed with enhanced security via the AWS MCP Server or locally through the AWS CLI. It is offered at no additional charge.
feature announcement - AWS What's New aiawspreviewengineeraws-sagemaker ·
SageMaker JumpStart offers OpenAI PII detection and masking model
Amazon SageMaker JumpStart now provides a privacy-filter model from OpenAI for detecting and masking personally identifiable information (PII) in text. This feature allows AWS customers to build data sanitization workflows on AWS infrastructure, making it easier to comply with privacy regulations. The model is readily deployable via SageMaker Studio or the Python SDK for various AI use cases.
feature announcement - AWS What's New aiawsengineeraws-sagemaker ·
SageMaker JumpStart adds Qwen3 embedding and reranking models
Amazon SageMaker JumpStart now offers Qwen3-VL-Embedding-2B and Qwen3-Reranker-4B, enhancing retrieval pipelines with multimodal understanding and refined result ranking. These models enable developers to build advanced search capabilities on AWS infrastructure, accepting diverse inputs for embedding and precise relevance scoring for reranking. Both models can be deployed with a few clicks via SageMaker Studio or the Python SDK.
feature - AWS What's New aiawsengineeraws-sagemaker ·
Gemma-4-E2B-it model available in Amazon SageMaker JumpStart
Amazon SageMaker JumpStart now offers Google DeepMind's Gemma-4-E2B-it, a multimodal, instruction-tuned foundation model. This model supports text, image, and audio input, generating text output and featuring advanced reasoning capabilities for building AI applications on AWS. It's accessible with a few clicks via SageMaker Studio or the Python SDK, allowing customers to deploy it for various AI use cases.
feature announcement - AWS What's New aiawsgaengineermediaaws-sagemaker ·
Voxtral-Mini-4B-Realtime available in Amazon SageMaker JumpStart
Mistral AI's Voxtral-Mini-4B-Realtime-2602 model is now available in Amazon SageMaker JumpStart for real-time speech transcription. This multilingual model enables low-latency audio-to-text applications and supports 13 languages with configurable delays. Customers can deploy it easily via SageMaker Studio or the Python SDK, allowing for quick integration into specific AI use cases.
feature announcement - AWS What's New aiinfraawsengineeraws-s3aws-sagemaker ·
SageMaker HyperPod simplifies Slurm cluster setup with AMI-based configuration
Amazon SageMaker HyperPod now supports AMI-based node lifecycle configuration for Slurm clusters using continuous provisioning. This eliminates the need for manual script uploads, speeding up node availability for AI/ML workloads. The feature is available in all SageMaker HyperPod regions and targets engineers and architects managing ML infrastructure.
feature - AWS What's New aiawsmediaaws-ec2 ·
Amazon EC2 G7 instances with NVIDIA GPUs now in US East (N. Virginia)
Amazon EC2 G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs, are now available in the US East (N. Virginia) Region. These instances offer significant performance improvements for AI inference, graphics workloads, and GPU-accelerated data analytics compared to G6 instances. They are suitable for a wide range of applications including AI model deployment, graphics rendering, and real-time data pipelines, featuring advanced hardware specifications. G7 instances can be accessed via the AWS Management Console, CLI, and SDKs.
feature announcement - AWS What's New aiawsengineerhealthcareaws-ec2aws-eksaws-sagemakeraws-iam ·
Amazon EMR on EKS adds Apache Spark troubleshooting agent
Amazon EMR on EKS now integrates an Apache Spark troubleshooting agent, enabling data engineers to diagnose job failures via natural language and receive automated root cause analysis. This feature, which analyzes Spark History Server data and logs, expands to cover all EMR deployment options and is accessible via the EMR on EKS console or compatible AI coding agents. It provides read-only, IAM-authenticated, and CloudTrail-logged diagnostics for issues like memory errors and data skew.
feature - AWS What's New aiawsengineer ·
AWS DMS Schema Conversion adds AI agent automation
AWS DMS Schema Conversion now supports AI agent automation via the AWS MCP Server, allowing integration with AI coding agents like Kiro, Claude Code, and Cursor. This enables users to run complete migration workflows using natural language directly from their IDE, automating tasks like schema conversion and report generation. This feature is available for all existing DMS Schema Conversion engine pairs at no additional cost and leverages generative AI capabilities.
feature announcement - AWS What's New aisecurityawsengineeraws-iam ·
AWS MCP Server adds OAuth support for AI agent connections
The AWS MCP Server now supports OAuth for direct AI agent connections, eliminating the need for extra authentication software and leveraging existing AWS identity and governance controls. This feature allows for both interactive and programmatic authorization, with administrators benefiting from enhanced IAM policy governance and new OAuth-specific controls. Developers can now integrate AI agents more seamlessly with the MCP Server.
feature - AWS What's New aisecurityawsengineerhealthcareaws-s3aws-ec2aws-lambdaaws-rdsaws-dynamodbaws-eksaws-ecsaws-kinesisaws-sagemakeraws-bedrockaws-redshiftaws-iamaws-sqsaws-sns ·
AWS Config adds 191 managed rules for AI and core services
AWS Config now includes 191 new managed rules covering services like Amazon Bedrock, SageMaker, ECS, EKS, RDS, Redshift, S3, and CloudTrail. This expansion enhances governance for AI workloads and cloud infrastructure by evaluating configurations for security, data protection, and operational best practices. These rules are available individually or as conformance packs in regions where the corresponding AWS services are supported.
feature - AWS What's New aiinfraawsengineeraws-sagemaker ·
SageMaker HyperPod Adds Deep Health Checks for Slurm Clusters
Amazon SageMaker HyperPod now supports deep health checks for Slurm-orchestrated clusters using continuous provisioning. This feature allows proactive verification of GPU accelerator health on running instances, preventing wasted compute time and delayed workloads due to unhealthy nodes. It enables targeting specific instances or groups for stress and connectivity tests before committing resources, with results visible via SageMaker console and APIs. This enhancement is available in all regions where SageMaker HyperPod is offered.
feature - AWS What's New aiawspreviewengineeraws-eks ·
AWS Neuron 2.31.0 enhances performance and adds EKS operator
AWS Neuron 2.31.0 introduces significant updates, including enhanced MX FP8 support and tensor layout transformations in NKI 0.5.0. A public beta of the Neuron UltraServer Operator for Amazon EKS aims to automate UltraServer workloads. These updates benefit engineers and architects working with AWS Trainium and Inferentia chips for AI/ML workloads, particularly those on EKS, by improving performance and simplifying configuration.
feature patch - AWS What's New aiawsengineeraws-sagemaker ·
SageMaker Feature Store adds batch writes and record listing
Amazon SageMaker Feature Store now supports batch writing records and listing existing records, streamlining high-throughput feature ingestion and discovery for AI models. Data scientists can ingest features at scale with fewer API calls and audit feature group contents more easily. These capabilities are available in all AWS Regions where SageMaker Feature Store is offered.
feature
About AWS release tracking on ReleaseBytes
AWS ships hundreds of service updates a month across EC2, Lambda, RDS, S3, EKS and the rest of the catalogue — far more than anyone can follow by reading the official What's New feed. ReleaseBytes ingests announcements from AWS's official release channels and the Terraform AWS provider changelog, summarises each one in plain English, and tags anything that is a breaking change, security advisory or deprecation so you can see at a glance whether it affects your workloads.
Frequently asked questions
How often are AWS release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official AWS release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of AWS changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new AWS releases? ›
Set up a free email or Slack alert filtered to AWS, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the AWS release data come from? ›
From the official sources: Amazon Web Services releases and Terraform AWS provider. Every item links back to the original vendor announcement.