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AWS Config conformance packs now available in additional AWS Regions

AWS Config conformance packs and organization-level management capabilities for conformance packs are now available in additional AWS Regions. Conformance packs allow you to bundle AWS Config rules into a single package, simplifying deployment at scale. You can deploy and manage these conformance packs throughout your AWS environment. Conformance packs provide a general-purpose compliance framework designed to enable you to create security, operational, or cost-optimization governance checks using managed or custom AWS Config rules. This allows you to monitor compliance scores based on your own groupings. With this launch, you can also manage the AWS Config conformance packs and individual AWS Config rules at the organization level which simplifies the compliance management across your AWS Organization. With this expansion, AWS Config Conformance Packs are now also available in the following AWS Regions: Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Thailand), Asia Pacific (Taipei) and Mexico (Central). To get started, you can either use the provided sample conformance pack templates or craft a custom YAML file from scratch based on a custom conformance pack. Conformance pack deployment can be done through the AWS Config console, AWS CLI, or via AWS CloudFormation. You will be charged per conformance pack evaluation in your AWS account per AWS Region. Visit the AWS Config pricing page for more details. To learn more about AWS Config conformance packs, see our documentation.
Quelle: aws.amazon.com

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Amazon Bedrock AgentCore Runtime now supports direct code deployment

Amazon Bedrock AgentCore Runtime now supports two deployment methods for AI agents: container-based deployment and direct code upload. Developers can now choose between direct code-zip file upload for rapid prototyping and iteration, or leverage advanced container-based options for complex use cases requiring custom configurations. AgentCore Runtime provides a serverless, framework and model agnostic runtime for running agents and tools at scale. This deployment option streamlines the prototyping workflow while maintaining enterprise security and scaling capabilities for production deployments. Developers can now deploy agents using direct code-zip upload with easy drag-and-drop functionality. This enables faster iteration cycles, empowering developers to prototype quickly and focus on building innovative agent capabilities. This feature is available in all nine AWS Regions where Amazon Bedrock AgentCore Runtime is available: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland). To learn more about AgentCore Runtime deployment options, see the AgentCore documentation and get started with the AgentCore Starter Toolkit. AgentCore offers consumption-based pricing with no upfront costs.
Quelle: aws.amazon.com

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Amazon RDS for Oracle is now available with R7i memory-optimized instances offering up to 64:1 memory-to-vCPU ratio

Amazon Relational Database Service (RDS) for Oracle is now available with R7i memory-optimized preconfigured instances that offer additional memory and storage I/O per vCPU. Powered by custom 4th Gen Intel Xeon Scalable processors with AWS Nitro System and DDR5 memory for high performance, these instances provide up to 64:1 memory-to-vCPU ratio. Many Oracle database workloads require high memory, but can safely reduce the number of vCPUs without impacting application performance. By running such Oracle database workloads on R7i pre-configured instances, customers can lower their Oracle database licensing and support costs while meeting high performance application requirements. Memory optimized R7i pre-configured instances are available for Amazon RDS for Oracle with Bring Your Own License (BYOL) license model supporting both Oracle Database Enterprise Edition and Oracle Database Standard Edition 2. To learn more about Amazon RDS for Oracle R7i memory-optimized preconfigured instances, read RDS for Oracle User Guide and visit Amazon RDS for Oracle Pricing for available instance configurations, pricing details, and region availability.
Quelle: aws.amazon.com

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AWS Service Reference Information now supports SDK Operation to Action mapping

AWS is expanding service reference information to include which operations are supported by AWS services and which IAM permissions are needed to call a given operation. This will help you answer questions such as “I want to call a specific AWS service operation, which IAM permissions do I need?” You can automate the retrieval of service reference information, eliminating manual effort and ensuring your policies align with the latest service updates. You can also incorporate this service reference information directly into your policy management tools and processes for a seamless integration. This feature is offered at no additional cost. To get started, refer to the documentation on programmatic service reference information.
Quelle: aws.amazon.com

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EC2 Auto Scaling announces warm pool support for Auto Scaling groups that have mixed instances policies

Starting today, you can add warm pools to Auto Scaling groups (ASGs) that have mixed instances policies. With warm pools, customers can improve the elasticity of their applications by creating a pool of pre-initialized EC2 instances that are ready to quickly serve application traffic. By combining warm pools with instance type flexibility, an ASG can rapidly scale out to its maximum size at any time, deploying applications across multiple instance types to enhance availability. Warm pools are particularly beneficial for applications with lengthy initialization processes, such as writing large amounts of data to disk, running complex custom scripts, or other time-consuming setup procedures that can take several minutes or longer to serve traffic. With this new release, the warm pool feature now works seamlessly with ASGs configured for multiple On-Demand instance types, whether specified through manual instance type lists or attribute-based instance type selection. The combination of instance type flexibility and warm pools provides a powerful solution that helps customers scale out efficiently while maximizing availability. The warm pool feature is available through the AWS Management Console, the AWS SDKs, and the AWS Command Line Interface (CLI). It is available in all public AWS Regions and AWS GovCloud (US) Regions. To learn more about warm pools, visit this AWS documentation.
Quelle: aws.amazon.com