Today, AWS launched new IAM Identity Center APIs to manage user assignments to supported AWS and cloud applications. Together with the previously available APIs, this release allows customers to automate the management of account and application access, streamlining how customers scale with IAM Identity Center.
AWS Lambda adds support for Java 21
AWS Lambda now supports creating serverless applications using Java 21. This runtime is based on the latest long-term support release of AWS Corretto, Amazon’s distribution of the Open JDK. Developers can use Java 21 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available.
AWS Systems Manager Automation now offers support for loops, type transformations, and more
Automation, a capability of AWS Systems Manager, enables you to automate routine operations tasks using runbooks. Today, AWS Systems Manager announces enhanced automation actions such as loops, runbook variables, type transformations, and output filtering. This launch simplifies the runbook authoring experience and eliminates the need to to write custom scripts to perform these actions.
Amazon Connect supports visibility and management of applied quotas using AWS Service Quotas
You can now view applied quota values for resources within each of your Amazon Connect instances using AWS Service Quotas . When requesting a quota adjustment, Service Quotas allows you to indicate the Amazon Connect quota, desired value, and (where applicable) the instance to apply the adjustment to. For example, if you are planning to onboard a new workload to your existing contact center, you can now easily identify if you have sufficient quota capacity in your existing Amazon Connect instance to configure additional agents, phone numbers, flows, queues, or other resources. By leveraging AWS Service Quotas, you can quickly understand your applied service quota values for these resources, and then request quota increases in a few clicks.
AWS Fargate now supports AWS Graviton2 Processors in all AWS Regions
AWS Fargate adds support AWS Graviton2 Processors in the Asia Pacific (Jakarta) AWS Region. This launch adds even more choice to help you optimize performance and cost for running your containerized workloads on Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate in the AWS GovCloud (US) Regions. Now, AWS Graviton2 Processors are available for your workloads running with AWS Fargate in all AWS Regions, including the AWS GovCloud (US) and China Regions.
Monitor SAP Sybase ASE database with Amazon CloudWatch Application Insights
Amazon CloudWatch Application Insights now offers observability of SAP Sybase ASE database. Application Insights helps customers gain insights for their SAP and non-SAP applications, databases and AWS resources by making it easy to set up and monitor applications, recognize problems, and use data to make decisions. This launch adds to the list of already supported SAP workloads such as SAP HANA and SAP NetWeaver applications.
Amazon RDS Custom for SQL Server extends Point in Time Recovery support for up to 1000 databases
Today, Amazon RDS Custom for SQL Server announced Point in Time Recovery (PITR) support for up to 1000 databases, an improvement over the previous limit of 100 databases. PITR enables users to restore databases to specific point in time within their retention period, ensuring enhanced disaster recovery capabilities.
Amazon OpenSearch Ingestion is now available in 3 additional commercial regions
Starting today, Amazon OpenSearch Ingestion is now available in 3 additional commercial regions: Asia Pacific (Mumbai), Asia Pacific (Seoul), and Canada (Central).
Amazon Connect now provides a Contact Lens conversational analytics dashboard
Amazon Connect now provides a pre-built Contact Lens conversational analytics dashboard that enables customers to understand why customers are contacting, the trends of contact drivers over time, and the performance of each of those call drivers (e.g., average handle time for call driver “where’s my stuff?”). You can view and compare real-time and historical aggregated performance, trends, and insights using custom-defined time periods (e.g., week over week), summary charts, time-series chart, etc. Managers can uncover trends and patterns for different call drivers across key metrics including contacts handled and average handle time. For example, contact center managers can use this dashboard to identify which call driver is driving a spike in contact volume and, in one click, drill down into that category by analyzing individual contacts.
Amazon EMR Serverless is now available in 4 new AWS Regions
Amazon EMR is excited to announce that Amazon EMR Serverless is now available in the Africa (Cape Town), Asia Pacific (Jakarta, Osaka), and Europe (Milan).