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 680 AWS releases · Updated
- 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 infraawsengineeraws-ec2 ·
EC2 R8in, R8ib, R8idn, R8idb Instances Expand to New Regions
Amazon EC2 R8in, R8ib, R8idn, and R8idb instances are now available in the Asia Pacific (Tokyo) and Europe (Frankfurt, Ireland) regions, offering enhanced performance for demanding workloads. Powered by custom Intel processors and AWS Nitro cards, these instances provide up to 43% better compute performance per vCPU and significantly higher network and EBS bandwidth than previous generations. They are suitable for workloads ranging from AI/ML caching and Telco applications to high-performance databases and data lakes, with specific instance types optimized for network or storage intensity.
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 securitygovernanceawsengineer ·
AWS Organizations adds default security controls for new orgs
AWS Organizations now automatically applies security controls by default when creating new organizations via the console. This feature safeguards multi-account environments by preventing unintended member account departures, providing immediate protection from day one for CloudOps administrators and security teams. These lightweight controls help establish strong governance patterns for new or migrating enterprises, with the ability to modify or disable them at any time.
feature - 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 infraawsengineeraws-ec2 ·
EC2 Replace Root Volume now supports using an EBS volume
Amazon EC2 now allows using an existing EBS volume as the target for replacing an instance's root volume, in addition to snapshots or AMIs. This new option simplifies patching and configuration updates for stateful workloads by eliminating intermediate snapshot or AMI creation steps, reducing overhead and speeding up the process. The feature is available in all commercial AWS Regions and AWS GovCloud (US) regions, benefiting customers who need to include specific metadata or software before boot.
feature - AWS What's New infraawsaws-ec2 ·
Amazon EC2 I7ie instances launched in AWS Hyderabad region
Amazon EC2 I7ie instances are now available in the AWS Asia Pacific (Hyderabad) region. These instances are designed for storage-intensive workloads, offering improved compute performance and price-performance over previous generations. They provide high-density local NVMe storage and enhanced real-time storage performance, making them suitable for demanding data access patterns. The instances are available in multiple sizes with high network and EBS bandwidth.
feature announcement - AWS What's New infraawsgaengineeraws-ec2 ·
Amazon EC2 I8g instances now available in AWS GovCloud (US)
Amazon EC2 Storage Optimized I8g instances are now generally available in AWS GovCloud (US) regions. Powered by Graviton4 processors and Nitro SSDs, these instances offer significantly improved compute and storage performance for I/O-intensive workloads. They are ideal for databases, real-time analytics, and AI/LLM pre-processing, and are available in multiple sizes with substantial local storage and network bandwidth.
feature announcement - AWS What's New governanceawsgovernment ·
Amazon Location Service Places APIs gain address formatting and search
Amazon Location Service has enhanced its Places APIs with new features for address formatting, multilingual place name translations, and travel-optimized search. These updates offer developers greater control over data presentation and improve the relevance of search results for mobile users. The changes affect multiple APIs including Geocode, ReverseGeocode, GetPlace, and Suggest, making it easier to build localized and navigation-focused applications. New capabilities like AddressNamesMode and TravelMode are now available across supported AWS Regions.
feature - AWS What's New infraawsengineer ·
AWS DMS Schema Conversion adds offline SQL Server schema conversion
AWS Database Migration Service (DMS) Schema Conversion now supports offline schema conversion for SQL Server, allowing conversion without direct database connectivity. This feature bypasses security reviews and firewall changes typically required for migrations, accelerating the process and is ideal for organizations with strict security policies. It enables database administrators to extract metadata locally, which can be reviewed by security teams before uploading to DMS for processing.
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 infraawsengineer ·
Amazon DocumentDB adds R8g instances with Graviton4 processors
Amazon DocumentDB now supports R8g.24xlarge and R8g.48xlarge instances powered by AWS Graviton4 processors and DDR5 memory. These instances offer higher throughput and larger memory capacity, enabling more demanding workloads and improving performance for memory-intensive applications. Customers can adopt these new instances by modifying or creating DocumentDB clusters, with availability for DocumentDB 5.0+.
feature - 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
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.