Kategorie: Amazon AWS

Amazon Corretto 8 September 2026 Patch Updates

On September 30, 2026, Amazon announced a patch update for the following Amazon Corretto Long-Term Support (LTS) version of OpenJDK: Corretto 8u504 is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. This patch includes the tzdata 2026d updates.
Visit Corretto home page to download Corretto 27, Corretto 25, Corretto 21, Corretto 17, Corretto 11, or Corretto 8. You can also get the updates on your Linux system by configuring a Corretto Apt, Yum, or Apk repo.
Feedback is welcomed!
Quelle: aws.amazon.com

Amazon GuardDuty now supports centralized management using AWS Organizations declarative policies

Amazon GuardDuty now supports AWS Organizations declarative policies, enabling you to centrally enable GuardDuty threat detection across every account and Region in your AWS organization. Using an organization policy, you can now apply a centrally managed GuardDuty enablement configuration. The configuration applies to existing accounts and is automatically maintained as new accounts join your organization.
Enabling GuardDuty across all relevant accounts and Regions helps ensure comprehensive threat detection coverage. Previously, keeping enablement aligned across a large multi-account, multi-Region environment meant configuring GuardDuty’s enablement settings separately in each Region, which could drift over time. Now you can define a central GuardDuty policy from your delegated administrator account that sets an enablement baseline across your organization (at the organization root, OUs, or individual accounts). The policy supports a default configuration that applies in every Region where GuardDuty is available, as well as per-Region overrides for Regions that require different enablement. Enablement set by a policy cannot be overridden via the GuardDuty console or API.
GuardDuty declarative policy support is available in all AWS commercial Regions and the AWS GovCloud (US) Regions. To get started, make sure the delegated administrator has permission to manage GuardDuty policies. Then, sign in to the GuardDuty console and choose Organization policies, or create a policy programmatically using AWS Organizations APIs. To learn more, see Managing accounts using organization policies in the Amazon GuardDuty User Guide and Amazon GuardDuty policies in the AWS Organizations User Guide.
Quelle: aws.amazon.com

Amazon DynamoDB Accelerator (DAX) is now available in additional Regions

Today, AWS announces the availability of Amazon DynamoDB Accelerator (DAX) in 17 additional AWS Regions: Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (New Zealand), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Taipei), Asia Pacific (Thailand), Canada West (Calgary), Europe (Milan), Europe (Zurich), Israel (Tel Aviv), Mexico (Central), AWS GovCloud (US-East), and AWS GovCloud (US-West). DAX is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to 10 times performance improvement—from single-digit milliseconds to microseconds—even at millions of requests per second. This expansion brings DAX to more geographies, helping customers accelerate read-heavy DynamoDB workloads without managing their own cache infrastructure.
With DAX, you can accelerate read-intensive and bursty workloads such as real-time bidding, gaming leaderboards, and retail product catalogs, while offloading read traffic from your DynamoDB tables. DAX is API-compatible with DynamoDB, so you can add microsecond-latency caching to your applications with minimal code changes. Customers in these Regions can now meet local data residency and low-latency requirements while benefiting from DAX’s fully managed operations, including automated patching, failover, and scaling.
To see the full list of Regions where DAX is available, see the following resources: AWS Capabilities by Region.
Quelle: aws.amazon.com

AWS Parallel Computing Service now supports scaling logs

AWS Parallel Computing Service (AWS PCS) now supports scaling logs, which record how AWS PCS scales the compute node groups in your cluster. Each log entry records one state transition for one compute node—for example, an instance launch, a node registration, a scale-down, or a launch failure with its reason. Using scaling logs, you can more easily troubleshoot scaling issues. For example, you can determine why a compute node group did not reach its target size, which launches failed for capacity reasons, and when a specific node started or stopped. Scaling log delivery is opt-in, and you can configure AWS PCS to emit scaling logs to Amazon CloudWatch Logs, Amazon S3, and Amazon Data Firehose.
AWS PCS is a managed service that simplifies running and scaling HPC workloads on AWS using Slurm. You can build complete, elastic environments that integrate compute, storage, networking, and visualization tools, while the service handles cluster operations with managed updates and built-in observability features.
This feature is available in all AWS Regions where AWS PCS is available. To get started, see the AWS PCS User Guide.
Quelle: aws.amazon.com

Amazon Managed Grafana now supports creating Grafana 13.2 workspaces

Amazon Managed Grafana now supports creating new workspaces with Grafana version 13.2. This release brings features from open-source Grafana versions 13.0 to 13.2, including Git Sync for dashboards, dynamic dashboards, and PromQL query support in the Amazon CloudWatch data source plugin.
With Git Sync, you can treat dashboards as code by linking a workspace to a Git repository, enabling version control for tracking, reviewing, and reverting dashboard modifications. Dynamic dashboards provide a more adaptable approach to layout and paneling, constructing responsive views driven by conditions that respond to data and variables. The Amazon CloudWatch data source plugin now supports PromQL queries, allowing you to use Prometheus Query Language to query metrics that CloudWatch ingests via its OpenTelemetry (OTLP) endpoint, complementing the existing Metric Search and Metrics Insights query types.
Grafana 13.2 is available in all AWS regions where Amazon Managed Grafana is generally available.
To learn more about creating Amazon Managed Grafana workspaces with version 13.2, visit the user documentation. For more information about Amazon Managed Grafana features and pricing, visit the product page and pricing page.
Quelle: aws.amazon.com

Amazon S3 Vectors introduces metadata pre-filtering for up to 5x higher recall on filtered search

Amazon S3 Vectors now supports pre-filtering, which evaluates metadata filters before running similarity search, returning up to 5x more of the matching vectors when your filter is selective. S3 Vectors also adds a prefix match operator ($startsWith) for filtering on values like paths and URLs. Together, these improvements give your retrieval-augmented generation (RAG), agentic, and semantic-search applications more complete results when you filter, so your applications return more relevant answers.
S3 Vectors provides native support to store and query vectors in Amazon S3, delivering purpose-built, cost-optimized vector storage and query at billion-vector scale. With this launch, indexes in new vector buckets use metadata pre-filtering by default, with no change to how you write vectors with PutVectors or run filtered queries with QueryVectors. To use pre-filtering on an existing index, update it in place with the UpdateIndexMode API. You can also compare pre-filtering against your current filtering on the same index, using a per-query parameter on QueryVectors, before you update.
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. We are in the process of deploying this change and plan to complete the deployment in the coming days. To get started, use the AWS CLI, AWS SDKs, or the Amazon S3 console. To learn more, visit the Amazon S3 Vectors documentation and the AWS News blog.
Quelle: aws.amazon.com

AWS CLI now supports bulk skill updates and version checks for the Agent Toolkit for AWS

Today, AWS expanded the AWS Command Line Interface (CLI) commands for the Agent Toolkit for AWS with two new capabilities that make it easier to keep agent skills up to date. Customers can now run aws agent-toolkit check-skill-updates to compare all installed skills against the latest versions available in the registry, and use aws agent-toolkit update-skill –all to update every outdated skill in a single command.
The Agent Toolkit for AWS consists of the AWS MCP Server (which provides a secure, auditable agent interface to 15,000+ AWS APIs), agent skills (which give agents expert guidance across storage, networking, analytics, and more), and plugins (which bundle the MCP server and curate sets of skills into a single install). Previously, customers needed to check and update each skill individually. With these additions to AWS CLI, developers can quickly identify which skills have newer versions available and bring their entire skill set current without managing updates one at a time. This is especially useful for teams that have installed many skills across serverless, storage, networking, analytics, and other domains, and want to ensure their coding agents always operate with the latest guidance. These new commands are added to the existing set of AWS CLI capabilities for the Agent Toolkit, which already allows customers to install, search, and configure the AWS MCP Server and agent skills across Kiro, Claude Code, Codex, Cursor, and other popular coding agents. 
To get started, see AWS CLI in the Agent Toolkit for AWS user guide. Make sure you have AWS CLI version 2.37.0 or later installed. The AWS MCP Server is available in the US East (N. Virginia) and Europe (Frankfurt) Regions.
Quelle: aws.amazon.com

Amazon WorkSpaces Core Managed Instances adds support for NVIDIA Blackwell GPU

Amazon WorkSpaces Core Managed Instances now supports Graphics G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and Intel Xeon 6 processors. G7 instances deliver up to 2.1X better performance for graphics-intensive workloads compared to previous generation G6 instances.
With Graphics G7, customers can run demanding professional applications such as CAD/CAM, 3D rendering, scientific visualization, video editing, and AI-assisted design workflows at higher fidelity and frame rates. G7 instances feature 32 GB of GDDR7 GPU memory per GPU and 2.67X faster memory bandwidth, enabling larger, more complex 3D scenes and models. Six instance sizes are available with 1 to 8 GPUs, vCPUs ranging from 8 to 192, and system memory from 32 GB to 768 GB, with support for Linux and Windows, including bring-your-own-license.
Graphics G7 instances for WorkSpaces Core Managed Instances are available in US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Spain). Additional AWS Regions will be added as availability expands.
To get started, specify an instance type from the G7 family when creating a new WorkSpaces Core Managed Instance, or look for G7 instance types when they become available through your WorkSpaces Core partner solution. For more information, see the following resources:
Amazon WorkSpaces Core
Amazon WorkSpaces Core Managed Instances
EC2 G7 Instance Types
Amazon WorkSpaces Core Managed Instances Pricing
Quelle: aws.amazon.com

Amazon RDS for MySQL supports MySQL 26.7 in Amazon RDS Database Preview Environment

Starting today, Amazon RDS for MySQL 26.7 is available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of MySQL 26.7 on Amazon RDS for MySQL.
MySQL 26.7 is the first Innovation release to adopt the new YY.M (Year.Month) calendar versioning model. It includes bug fixes, security patches, and new features such as Change Stream Applier, a modular replication applier that improves apply throughput and backlog recovery in test workloads. For more details, refer to the MySQL 26.7 release notes.
Amazon RDS Database Preview Environment database instances are retained for a maximum of 60 days and are automatically deleted after the retention period. Database snapshots created in the Preview Environment can only be used within the Preview Environment. Preview Environment database instances are priced according to pricing in the US East (Ohio) Region.
To learn more, visit the Amazon RDS Database Preview Environment documentation.
Quelle: aws.amazon.com

Amazon Aurora and RDS now support AMD-based R8a instances

Amazon Aurora and Amazon RDS now support R8a database instances powered by 5th generation AMD EPYC processors, expanding the choice available for your database workloads. Each vCPU in R8a database instances corresponds to a physical CPU core, which delivers consistent per-core performance. For workloads with high I/O requirements, R8a instances provide up to 75 Gbps of network bandwidth and 60 Gbps of Amazon EBS bandwidth. All R8a instances are built on the AWS Nitro System using sixth-generation Nitro Cards.
R8a database instances are supported for Amazon Aurora PostgreSQL-Compatible Edition, Amazon Aurora MySQL-Compatible Edition, RDS for PostgreSQL, MySQL and MariaDB. R8a database instances are available in US East (N. Virginia, Ohio), US West (Oregon), Canada (Central), Asia Pacific (Tokyo, Taipei) and Europe (Ireland, Frankfurt, Spain) regions. 
You can get started with R8a database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For the specific engine versions that support these instance classes, see the Aurora and RDS documentation. For pricing, see the Amazon Aurora pricing page  and the Amazon RDS pricing page.
Quelle: aws.amazon.com