Kategorie: Amazon AWS

Amazon CloudWatch Logs announces intelligent tiering for storage

Amazon CloudWatch Logs now supports intelligent storage tiering, which automatically classifies your log data across three storage tiers – Standard (existing), Infrequent Access, and Archive Instant Access based on access patterns. This allows you to store logs in Amazon CloudWatch for extended periods at lower-cost tiers without any operational overhead.
With today’s launch, customers can now retain high-volume verbose logs needed to be stored for longer periods at a lower cost in Amazon CloudWatch. Instead of filtering these logs or exporting them, you can now keep them natively in Amazon CloudWatch and benefit from the same query experience regardless of which tier your data resides in. Amazon CloudWatch monitors access patterns and automatically reclassifies data not accessed for 30 days to the Infrequent Access tier, and data not accessed for 90 days to the Archive Instant Access tier. When you access older data, it is automatically promoted back to the Standard tier for 30 days. By consolidating all your logs in CloudWatch, you get full visibility in one tool, thereby eliminating the operational overhead of managing multiple storage solutions and reducing your Mean Time to Resolution (MTTR) by analyzing, and alerting on all your logs in a single place.
Amazon CloudWatch Logs Intelligent-Tiering is available in all AWS commercial regions except Middle East (Bahrain) and Middle East (UAE). You can enable intelligent tiering at the account level in the AWS Management Console, AWS SDKs or through AWS CLI. Learn more about CloudWatch Logs intelligent tiering pricing and documentation.
Quelle: aws.amazon.com

Amazon RDS now supports up to four storage modifications in 24 hours

Amazon RDS now allows up to four storage modifications per database instance within a rolling 24-hour window. These modifications let you increase the size, change the type, and adjust the performance of your RDS storage volumes. You can start a new modification right after storage optimization for the previous modification is complete without having to wait for the six-hour cool-off period to complete.
This enhancement improves operational agility for scaling storage capacity or adjusting performance during sudden data growth or unexpected workload spikes. With RDS storage modifications, you can modify your volumes without downtime, keeping applications running with minimal performance impact.
The feature is automatically enabled on all Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for Db2, Amazon RDS for Oracle, and Amazon RDS for Microsoft SQL Server instances in all commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more, refer the Amazon RDS User Guide.
Quelle: aws.amazon.com

Amazon RDS and Aurora now support R8g and M8g database instances in additional AWS Regions

AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora (MySQL and PostgreSQL compatibility) and Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Hyderabad, Melbourne, Malaysia), Europe (London, Paris, Zurich), AWS GovCloud (US-East), South America (Sao Paulo), and Mexico (Central) regions. Additionally, M8g instances are now supported for Amazon RDS for PostgreSQL, MySQL, and MariaDB in US West (N. California), Asia Pacific (Mumbai, Sydney, Hong Kong, Seoul, Malaysia, Singapore), Canada West (Calgary), Europe (Zurich, Milan, Paris), South America (Sao Paulo) and Africa (Cape Town) regions.  AWS Graviton4-based instances provide up to 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. Built on the AWS Nitro System, the new R8g database instances introduce 24xlarge and 48xlarge sizes, delivering up to 192 vCPUs, an 8:1 ratio of memory to vCPU with the latest DDR5 memory, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to Amazon Elastic Block Store (Amazon EBS). You can easily launch R8g or M8g database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the Aurora and RDS documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. 
Quelle: aws.amazon.com

Amazon RDS and Aurora expand R8gd and M8gd to additional Regions

Amazon Relational Database Service (RDS) now supports R8gd database instances in 12 additional regions and and M8gd database instances in 6 additional Regions with Optimized Reads for Amazon Aurora PostgreSQL, RDS for PostgreSQL, RDS for MySQL, and RDS for MariaDB. R8gd and M8gd instances deliver up to 165% better throughput and up to 120% better price-performance over R6g instances for Aurora PostgreSQL. Optimized Reads uses local NVMe-based SSD block storage to store ephemeral data such as temporary tables, reducing network storage access and improving query latency. The result is improved query performance for complex queries and faster index rebuild operations. Aurora PostgreSQL Optimized Reads instances using the I/O-Optimized configuration also use the local storage to extend their caching capacity. Database pages that are evicted from the in-memory buffer cache are cached in local storage to speed subsequent retrieval of that data. Customers can get started with Optimized Reads through the AWS Management Console, CLI, and SDK by modifying their existing Aurora and RDS databases or creating a new database using R8gd or M8gd instances. R8gd instances are available in the following additional regions: Europe (Ireland), Asia Pacific (Seoul), Asia Pacific (Malaysia), Europe (London), US West (N. California), Asia Pacific (Sydney), Canada (Central), Asia Pacific (Jakarta), Africa (Cape Town), Canada West (Calgary), South America (Sao Paulo) and Asia Pacific (Hong Kong). M8gd instances are available in the following additional regions: Europe (Ireland), Asia Pacific (Malaysia), Europe (London), Asia Pacific (Sydney), South America (Sao Paulo) and Canada (Central). For complete information on pricing and regional availability, please refer to the pricing page. For information on specific engine versions that support these DB instance types, please see the Aurora and RDS documentation.
Quelle: aws.amazon.com

Amazon MSK Express Brokers adds support for Apache Kafka version 4.2

Amazon Managed Streaming for Apache Kafka (Amazon MSK) Express Brokers now supports Apache Kafka version 4.2. This release includes Eligible Leader Replicas (ELR) enhancements that strengthen availability with improved leader election correctness. It also introduces a new consumer rebalance protocol that helps ensure smoother and faster group rebalances, and a new Streams Rebalance Protocol that extends broker coordination capabilities to Kafka Streams for optimized task assignments. For a complete list of improvements and bug fixes, please refer to the Apache Kafka release notes for version 4.2. MSK Express Brokers are designed to deliver up to three times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent. This launch brings the latest open-source reliability and performance improvements to MSK Express. To get started, simply select version 4.2.x when creating a new cluster with Express Brokers via the AWS Management Console, AWS CLI, or AWS SDKs. You can also upgrade existing MSK Express Brokers with an in-place rolling update. Amazon MSK orchestrates broker restarts to maintain availability and protect your data during the upgrade. Kafka version 4.2 support is available today across all AWS regions where Amazon MSK Express Brokers is offered. To learn how to get started, see the Amazon MSK Developer Guide.
Quelle: aws.amazon.com

Amazon MQ now supports configurable storage for RabbitMQ brokers

Amazon MQ now allows you to configure the EBS Disk storage size for RabbitMQ brokers independently of instance type. When creating or updating a broker, you can define a custom storage size, allowing you to right-size storage independently of your instance size to match your specific messaging workload requirements. Configurable storage is available for RabbitMQ M7g brokers on version 4.2 or later using cluster deployments only.
With configurable storage, you can choose a storage size from the default value on M7g to the maximum allowed value depending on your instance size in increments of 5 GB. You can specify the Storage Size using the using the AWS Console, AWS CloudFormation, AWS Command Line Interface (CLI), or the AWS Cloud Development Kit (CDK). Storage changes are applied during the next broker reboot. 
Standard Amazon MQ storage pricing applies based on the disk size as per Amazon MQ pricing. Configurable storage is available in all commercial AWS Regions where Amazon MQ for RabbitMQ is offered. To learn more, see the Amazon MQ Developer Guide.
Quelle: aws.amazon.com

Amazon Managed Service for Apache Flink now offers AI Agent Skills to simplify building and operating Flink applications

Amazon Managed Service for Apache Flink now offers AI Agent Skills that give AI coding assistants expert, up-to-date guidance for building and operating Flink applications. The skills provide expert guidance for common tasks such as creating applications, troubleshooting, scaling, monitoring, networking configuration, and cost optimization.
Customers can leverage these skills to keep Flink applications healthy and performant, accelerate development of new streaming applications, and easily upgrade to latest versions of Apache Flink like Flink 2.2. The skills turn tasks that once required specialized Apache Flink knowledge into a guided experience developers can complete on their own.
You can use the Managed Service for Apache Flink skills with your existing AI coding agent, including Kiro, Claude Code, or Cursor. To get started, configure the Agent Toolkit for AWS using the AWS CLI, then ask your coding agent a question, such as “How do I create a new Flink application on MSF?” or “My Flink application is unhealthy — what’s wrong?”
Quelle: aws.amazon.com

AWS IAM Identity Center achieves FedRAMP Class C Certification

AWS IAM Identity Center is now in scope for FedRAMP Class C in the US East (Ohio), US East (N. Virginia), US West (N. California), and US West (Oregon) Regions. You can now use IAM Identity Center to enable workforce access to AWS accounts and applications that are subject to FedRAMP Class C compliance.
The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, certification, and continuous monitoring for cloud products and services. AWS IAM Identity Center is the recommended service for managing your workforce access to AWS accounts and applications.
To learn more about FedRAMP, visit the AWS services compliance page and AWS compliance resources page. To learn more about IAM Identity Center, visit the User Guide.
Quelle: aws.amazon.com

AWS Lambda console provides a one-click setup prompt for coding agents

AWS Lambda console now provides a one-click setup prompt for coding agents that configures your agent with AWS Serverless skills and the Serverless Model Context Protocol (MCP) server, embedding serverless best practices from the start. This setup is available on the Lambda console wherever the developers start their Lambda journey: whether they are getting started with Lambda, exploring its capabilities, or have created their first function.
Developers use coding agents to build, test, and deploy Lambda functions, but setting up an agent for serverless development previously required navigating across multiple documentation pages to find the right configuration. The one-click setup prompt eliminates this friction as it provides a prompt that instructs the agent to install AWS Serverless skills (hosted in Agent Toolkit for AWS) and the Serverless MCP server directly in the developer’s preferred coding agent. The prompt references the Lambda agent setup guide, which includes installation commands for Claude Code, Kiro, Cursor, GitHub Copilot, Codex, Devin Desktop, and OpenCode, for the AWS Serverless skills, three specialized Lambda skills (MicroVM, Managed Instances, durable functions), and Serverless MCP server configuration. If a developer does not have local AWS authentication configured, the prompt guides them to connect using the signing-in-to-aws skill.
This capability is available in all commercial AWS Regions (except Middle East (Bahrain) and Middle East (UAE)) and AWS GovCloud (US) Regions where Lambda is available. Get started by visiting the AWS Lambda console or learn more in the Lambda agent setup guide.
 
Quelle: aws.amazon.com

AWS Elastic Disaster Recovery now supports Amazon EBS volume initialization rate

AWS Elastic Disaster Recovery (AWS DRS) now supports the Amazon EBS volume initialization rate, helping recovered volumes reach full performance faster during drills and recoveries. When DRS restores EBS volumes from snapshots, the data loads from Amazon S3 in the background, and I/O to blocks that haven’t loaded yet can be slower until initialization finishes. With this launch, you can set a volume initialization rate on your DRS-managed EC2 launch template, and DRS applies it automatically when it creates volumes during recovery — bringing your applications to full storage performance on a predictable timeline.
This is especially valuable for I/O-intensive workloads such as databases, where fast, consistent storage performance is critical to meeting your recovery time objectives. You set the rate once on the launch template, and DRS preserves it across the updates it makes for rightsizing or disk changes. If the rate cannot be applied for a given recovery, DRS completes recovery without it, so your recovery is never blocked.
AWS DRS support for the EBS volume initialization rate is available in all AWS Regions and environments where the EBS volume initialization rate is offered. You are charged per GB based on the full snapshot size and the rate you specify; for details, see Amazon EBS pricing. To learn more, see the AWS Elastic Disaster Recovery User Guide.
Quelle: aws.amazon.com