Amazon Redshift RA3 Reserved Instance (RI) migration feature is now available in the Amazon Redshift Console, CLI and API to help migrate your DS2 RI clusters to RA3 RI clusters.

Amazon Connect now provides two new APIs to archive/unarchive and delete contact flows. The new APIs provide a programmatic and flexible way to manage your library of contact flows at scale. For example, contact flows used only during certain times of the year can be archived when not in use and then unarchived when needed. You can now also delete a contact flow so it is no longer available for use. To learn more about the new APIs, see the API documentation .

Amazon Connect now supports modules to simplify the creation and management of repeatedly used contact flow logic. Contact flow modules are a set of user defined blocks centrally managed in an Amazon Connect instance that can be referenced in multiple contact flows. For example, a customer may want to perform the same steps of identifying intent, authenticating the account number, and updating contact attributes across multiple different contact flows. With contact flow modules, the customer only has to build the contact flow logic once then reference the module in the applicable contact flows. Any time updates to a module are published, the changes will reflect directly in all the contact flows that reference the updated module. Modules feature access, editing, and publishing is enabled through the Amazon Connect console.

Amazon FinSpace now provides data management APIs that allow customers to work with data in their Amazon FinSpace environment using the AWS SDK and CLI. With these new APIs, customers can add steps to their automated workflows that manage their data resources in Amazon FinSpace. Using the new APIs, customers can create Amazon FinSpace datasets, load data using change sets, and create point-in-time views for analysis. 

You can now use data tiering for Amazon ElastiCache for Redis as a lower cost way to scale your clusters to up to hundreds of terabytes of capacity. Data tiering provides a new price-performance option for Redis workloads by utilizing lower-cost solid state drives (SSDs) in each cluster node in addition to storing data in memory. It is ideal for workloads that access up to 20% of their overall dataset regularly, and for applications that can tolerate additional latency when accessing data on SSD.

Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce automatic language identification for streaming transcriptions. Until now, you were required to manually identify the dominant language in order to use Transcribe streaming APIs. You can now simply start streaming and Transcribe will detect the dominant language from the speech signal and generate transcriptions in the identified language. 

AWS Fargate for Amazon Elastic Container Service (Amazon ECS) powered by AWS Graviton2 Processors, is now generally available. AWS Graviton2 processors are custom built by Amazon Web Services using 64-bit Arm Neoverse cores and Graviton2-powered Fargate delivers up to 40% improved price/performance at 20% lower cost over comparable Intel x86-based Fargate for a variety of workloads such as application servers, web services, high-performance computing, and media processing. This adds even more choice to help customers optimize performance and cost for running containerized workloads on Fargate’s serverless compute.

Amazon ElastiCache for supports Redis 6.2. ElastiCache for Redis 6.2 includes performance improvements for TLS-enabled clusters using x86 node types with 8 vCPUs or more or Graviton2 node types with 4 vCPUs or more. These enhancements are designed to improve throughput and reduce client connection establishment time by offloading encryption to other CPUs. With Amazon ElastiCache for Redis 6.2, you can also manage access to Pub/Sub channels with Access Control List (ACL) rules. For the full list of improvements in Amazon ElastiCache for Redis 6.2 (enhanced), click here .

Amazon Elastic Container Service (Amazon ECS) now enables customers to quickly get started to monitor and debug their applications with traces and custom metrics using AWS Distro for OpenTelemetry (ADOT). This feature allows Amazon ECS customers to use the console to enable metrics and traces collection, and then export to Amazon CloudWatch, Amazon Managed Service for Prometheus, and AWS X-Ray with just few clicks. This experience simplifies a multi-step manual process of configuring ADOT in task definitions, and enables customers to solve application availability and performance issues.

Application Load Balancers and Network Load Balancers now support end-to-end connectivity with Internet Protocol version 6 (IPv6). Clients can now connect to application and network load balancers and access backend applications over IPv6.