AWS Lambda now supports Python 3.11 as a managed runtime and a container base image in the AWS GovCloud (US) Regions. AWS will automatically apply updates to the managed runtime and base image as they become available. Powertools for AWS Lambda , a developer toolkit to implement serverless best practices and increase developer velocity, also supports Python 3.11.

Amazon Connect now allows users to access trailing 90 days (previously 35 days) of historical agent and contact metrics (e.g., service level, average handle time) in GetMetricDataV2 API. Additionally, users can now make requests (spanning up to 35 days) with data broken out by customizable time intervals such as 15 minutes, hourly, or weekly. Using GetMetricDataV2 API, business can build custom dashboards to measure historical queue and agent performance. For example, businesses can track the number of incoming contacts for the last 7 days, with data split by day, to see how contact volume changed per day of the week. 

You can now receive a single feed of AWS Health events on Amazon EventBridge from all accounts within your organization in AWS Organizations using organizational view and delegated administrator. AWS Health is the authoritative source of information about service events and planned changes affecting your AWS cloud resources. EventBridge is a serverless integration service that makes it easier to build event-driven applications at scale using events generated from your applications, third-party SaaS applications, and AWS services. 

Amazon Connect now provides five additional contact and agent performance metrics in the GetMetricDataV2 API to help contact center managers derive more granular insights into queue and agent performance. These metrics include the time it takes to resolve a contact from when it was initiated until it is terminated, rate of abandoned contacts, and the number of contacts an agent did not answer, excluding those abandoned by a customer while connecting. For example, using these metrics, businesses can create custom dashboards to analyze how quickly they resolve customer callback requests or the total time to complete longer running contacts such as tasks.

We are pleased to announce that AWS Resource Explorer, a managed capability that simplifies the search and discovery of resources, is now available in the AWS Middle East (Bahrain) and Asia Pacific (Jakarta) Regions.

Amazon SageMaker Canvas is a service for business analysts to generate predictions without having to write a single line of code. Starting today, business analysts can access and evaluate foundation models (FMs) to generate and summarize content using foundation models, in addition to the ready-to-use models for common use cases such as sentiment analysis, object and text detection, and data extraction from documents. 

Today, App Runner launched improvements for associating custom domain(s) to an App Runner service in the App Runner console. App Runner makes it easier for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without managing infrastructure. When you create an App Runner service, by default, App Runner allocates a domain name to your service. If you have your own domain name, you can associate it to your App Runner service as a custom domain name. With App Runner you do not need to manage TLS/SSL certificates.

Today, AWS IoT Device Management, a fully managed cloud service that helps you register, organize, monitor, and remotely manage IoT devices at scale, announces the general availability of the Software Package Catalog feature. With this new feature, you can now track and monitor software package versions across fleet, gain valuable insights from a central dashboard, and perform targeted updates on devices running on a specific software version. 

Amazon Relational Database Service (RDS) for PostgreSQL now supports v0.5.0 of the pgvector extension to store embeddings from machine learning (ML) models in your database and to perform efficient similarity searches. This version of the extension introduces pgvector introduces HNSW indexing support, parallelization of ivfflat index builds, and improves performance of its distance functions.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g, M7g and R7g instances are now available in AWS Region US West (N. California). These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.