AWS Compute Optimizer now provides cost and performance optimization recommendations for 37 new EC2 instances types, including bare metal instances (m6g.metal) and compute optimized instances (c7g.2xlarge, hpc6a.48xlarge). Additionally, AWS Compute Optimizer now analyzes the “Available Mbytes”, “Available Kbytes”, and “Available Bytes” metrics to deliver more accurate EC2 instance recommendations for EC2 Windows instances.

Today, AWS X-Ray adds support for tracing end-to-end requests in PHP applications via the AWS Distro for OpenTelemetry (ADOT) in public preview. ADOT is a secure, AWS-supported distribution of the OpenTelemetry project. With this launch, you can now use the OpenTelemetry PHP SDK to instrument your PHP applications for tracing with X-Ray. X-Ray will help you to visualize and debug your distributed PHP applications in the CloudWatch console with its service map and trace analytics tools.

AWS Cloud Control API now supports AWS PrivateLink, providing access for customers to leverage AWS Cloud Control API through private Virtual Private Cloud (VPC) endpoints within their virtual private network. Customers can now manage their cloud infrastructure in a consistent manner and use the latest AWS capabilities faster using Cloud Control API’s common application programming interfaces (APIs) through private IP addresses in their Amazon VPC. These customers can use AWS Cloud Control API without having to use public IPs, firewall rules, or an internet gateway.

AWS CloudShell is now generally available in the South America (São Paulo), Canada (Central), and Europe (London) regions.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is now available in the Asia Pacific (Jakarta) AWS Region. Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easy for you to build and run applications that use Apache Kafka as a data store. Amazon MSK is fully compatible with Apache Kafka, which enables you to quickly migrate your existing Apache Kafka workloads to Amazon MSK with confidence or build new ones from scratch. With Amazon MSK, you spend more time building innovative applications and less time managing clusters.

Amazon File Cache is a fully managed, scalable, and high-speed cache on AWS for processing file data stored in disparate locations—including on premises. Amazon File Cache accelerates and simplifies cloud bursting and hybrid workflows including media and entertainment, financial services, health and life sciences, microprocessor design, manufacturing, weather forecasting, and energy.

Today, AWS Systems Manager announces adding CloudWatch Alarms to control tasks. Now customers can choose to stop a task or an action in Systems Manager services when a CloudWatch alarm is activated. This allows customers to use the broad range of monitoring metrics supported by CloudWatch, ranging from resource utilization to application performance, to control tasks. If the specified CloudWatch alarm is activated during a task, Automation will stop the task, RunCommand will cancel the commands, State Manager and Maintenance Windows will skip dispatch. It’s easy to get started, customers can add a CloudWatch alarm, while setting up a task in Systems Manager’s Automation, Run Command, State Manager, and Maintenance Windows services. Once setup, users can view the attached alarm in the task’s details page.

Amazon SageMaker Data Wrangler reduces the time to aggregate and prepare data for machine learning (ML) from weeks to minutes. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Data Wrangler enables a unified data preparation and model training  experience with Amazon SageMaker Autopilot in just a few clicks. This integration is now enhanced to include and reuse Data Wrangler feature transforms such as missing value imputers, ordinal/one-hot encoders etc., along with the Autopilot models for ML inference. When you prepare data in Data Wrangler and train a model by invoking Autopilot, you can now deploy the trained model along with all the Data Wrangler feature transforms as a SageMaker Serial Inference Pipeline . This will enable automatic preprocessing of the raw data with the reuse of Data Wrangler feature transforms at the time of inference. This feature is currently only supported for Data Wrangler flows that do not use join, group by, concatenate and time series transformations.

Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor version 10.6.10. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.

AWS Support continues to provide a mix of tools, technology, people, and programs to help you optimize performance, lower costs, and innovate faster. Today, the new AWS Support Plans Console experience makes it easier to view your current Support plan, the included features within that plan, and compare your plan with other AWS Support Plans.