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PostgreSQL 19 Beta 2 is now available in Amazon RDS Database Preview Environment

Amazon RDS for PostgreSQL 19 Beta 2 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 19 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 19 Beta 2 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database. PostgreSQL 19 introduces parallel autovacuum with configurable worker limits, so routine maintenance no longer bottlenecks large databases. The new REPACK CONCURRENTLY command rebuilds tables and reclaims storage online, keeping production databases accessible without third-party extensions. Native SQL Property Graph Queries (SQL/PGQ) let you express relationship traversals directly in standard SQL, eliminating separate application logic. Logical replication now synchronizes sequence values automatically and can be enabled dynamically without a server restart, reducing planned downtime. Beta 2 adds bug fixes and stability improvements from the Beta 1 testing period, including refinements to parallel autovacuum worker coordination and REPACK CONCURRENTLY lock handling. Please refer to PostgreSQL community announcement for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the preview environment. Amazon RDS Database Preview Environment database instances are priced as per the pricing in the US East (Ohio) Region.
Quelle: aws.amazon.com

Amazon EC2 now surfaces the public SSM parameters associated with public AMIs

Amazon EC2 now surfaces the AWS Systems Manager (SSM) Parameter Store parameters associated with public AMIs directly in the AMI metadata. When you describe a public AMI, the response includes the associated public SSM parameter, making it easy to discover and reference in your configurations.
Previously, finding the SSM parameter associated with a public AMI required searching through SSM parameter namespaces manually. Now, when you describe a public AMI, the response includes the public SSM parameter it is associated with. This allows you to discover the SSM parameter for a public AMI easily and use it as an alias that always resolves to the latest version, simplifying AMI updates across your infrastructure. This capability is available to all customers at no additional cost in all AWS regions including AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions. To learn more, please visit the documentation.
Quelle: aws.amazon.com

Amazon EC2 G7e instances now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in the AWS Europe (Frankfurt, Stockholm) and Asia Pacific (Mumbai) Regions. G7e instances offer up to 2.3x inference performance compared to G6e.
Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads.
You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain, London, Frankfurt, Stockholm) and Asia Pacific (Tokyo, Seoul, Mumbai). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans.
To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.
Quelle: aws.amazon.com

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