AWS CloudTrail now supports logging of data events for Amazon DynamoDB. With this new feature, you can now use CloudTrail to log item-level DynamoDB activity from all your DynamoDB tables or specific tables with read-only and write-only filters. You can also use CloudTrail
advanced event selectors for more granular control of which data events you want to log from DynamoDB. All DynamoDB data events are delivered to an Amazon S3 bucket and Amazon CloudWatch Events, which creates an audit log of data access and allows you to respond to events recorded by CloudTrail. Details on when and who made DynamoDB API calls enhances data visibility for security and operations engineering teams. For example, you can quickly determine which DynamoDB items were created, read, updated or deleted and identify the source of the API calls. If you detect unauthorized DynamoDB activity, you can also take immediate action to restrict access.

Amazon Elasticsearch Service now supports automated memory management of Elasticsearch clusters with the new Auto-Tune feature. Auto-Tune is an adaptive resource management system that automatically adjusts Elasticsearch internal settings to handle dynamic workloads, optimizing cluster resources to improve efficiency and performance. With Auto-Tune, you can achieve performance boost in ingestion throughput for log analytics workloads, and reduced tail latencies for search queries.  

We are excited to announce that you can now enable notifications for workflow status changes while using Amazon Forecast, allowing you to work seamlessly without the disruption of having to check if a particular workflow has completed. Additionally, you can now automate workflows through the notifications to increase work efficiency. Amazon Forecast uses machine learning (ML) to generate more accurate demand forecasts, without requiring any prior ML experience. Amazon Forecast brings the same technology used at Amazon.com to developers as a fully managed service, removing the need to manage resources or rebuild your systems.

Amazon Detective is now available in the AWS GovCloud (US) Regions. You can now easily analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities in both AWS GovCloud (US-West) and AWS GovCloud (US-East).  

We are pleased to announce the release of version 1.0.0 of the NICE DCV web client software development kit (SDK). NICE DCV is a high performance remote display protocol that helps users to securely access remote desktop or application sessions, including 3D graphics applications hosted on servers with high-performance GPUs. This JavaScript SDK is an optional component that enables developers and independent software vendors (ISVs) to integrate a customized NICE DCV web client into their web applications. Customers can build custom DCV web clients using custom user interface components and the core DCV streaming features provided by this SDK, delivering unique experiences tailored to their own use cases.

AWS Elemental MediaTailor now supports Enhanced Debug Logs that provide valuable information to troubleshoot playback session issues. When debug log mode is enabled, MediaTailor records all manifest requests and response payloads to the CloudWatch Logs for expanded diagnostics information. Learn more in our blog .

You can now manage non-IP based cloud resources in AWS Cloud Map’s public and private DNS namespaces. AWS Cloud Map is a cloud resource discovery service. Using AWS Cloud Map, you can define custom names for your application resources, such as Amazon ECS tasks, Amazon EC2 instances, Amazon S3 buckets, Amazon DynamoDB tables, or any other cloud resource. Your application can then discover the location and metadata of cloud resources associated with these custom names via AWS SDK or by making authenticated API calls.

The AWS Snowcone service is now available for order for customers in the AWS Asia Pacific (Sydney) Region. With this launch, Snowcone is now available for order in Asia Pacific (Sydney), EU (Frankfurt), EU (Ireland), US East (N. Virginia), and US West (Oregon) Regions. AWS Snowcone is the smallest member of the AWS Snow Family of edge computing, edge storage, and data transfer devices. Snowcone is portable, rugged, and secure – small and light enough to fit in a backpack, and able to withstand harsh environments. Customers use Snowcone to deploy applications at the edge, and to collect data, process it locally, and move it to AWS either offline (by shipping the device to AWS) or online (by using AWS DataSync on Snowcone to send the data to AWS over the network).

Today, we are announcing the general availability of ML Detect, a new feature of AWS IoT Device Defender that automatically detects device-level operational and security anomalies across your IoT fleet by learning from your past data. Now, in addition to being able to manually set static alarms with AWS IoT Device Defender Rules Detect, you can use machine learning to automatically learn your fleet’s expected behaviors so that you don’t need an in-depth understanding of how your devices act across a range of metrics to get started.  

You can now access Amazon Timestream APIs from your Amazon Virtual Private Cloud (Amazon VPC) using VPC endpoints. Amazon VPC endpoints are easy to configure and provide reliable connectivity to Amazon Timestream APIs without requiring an internet gateway or a Network Address Translation (NAT) instance.