You can now enable AWS X-Ray for your APIs in Amazon API Gateway, making it easier to trace and analyze user requests as they travel through the APIs to the underlining services.

Amazon SageMaker now supports version 1.10 in its pre-built TensorFlow containers. This makes it easier to run TensorFlow scripts, while taking advantage of the capabilities Amazon SageMaker offers, including a library of high-performance algorithms, managed and distributed training with automatic model tuning, one-click deployment, and managed hosting.

AWS CodeBuild now supports build projects with multiple input sources and output artifacts. Your projects can now use one or more sources from Amazon S3, AWS CodeCommit, GitHub, GitHub Enterprise, or Bitbucket and can upload multiple sets of artifacts to one or more Amazon S3 buckets. You can also configure your project to have no input source. You can now use the AWS CodePipeline integration with CodeBuild to create a pipeline with multiple input and output artifacts to a CodeBuild project.

Amazon CloudWatch Metrics for Amazon S3 now includes storage metrics for Amazon Glacier and S3 OneZone-Infrequent Access (S3 One Zone-IA) storage classes in the AWS GovCloud (US) Region. Storage that has been uploaded to S3 One Zone-IA or transitioned to S3 One Zone-IA or Amazon Glacier from S3 Standard or S3 Standard-IA storage classes using S3 Lifecycle policies will be available in CloudWatch storage metrics. These storage metrics will also include object overhead bytes applied to objects in Amazon Glacier and small objects in S3 Standard-IA and S3 One Zone-IA. 

Amazon SageMaker now supports a new HTTP header for the InvokeEndpoint API action called CustomAttributes, which can be used to provide additional information about an inference request or response. Using this header, it is easy to pass custom information such as trace ID, application specific identifier or other metadata to the inference request or response. This will help customers keep track of their requests or responses for audits or tracking metrics.

Amazon CloudWatch Metrics for Amazon S3 now includes storage metrics for Amazon Glacier and S3 OneZone-Infrequent Access (S3 One Zone-IA) storage classes in the AWS GovCloud (US) Region. Storage that has been uploaded to S3 One Zone-IA or transitioned to S3 One Zone-IA or Amazon Glacier from S3 Standard or S3 Standard-IA storage classes using S3 Lifecycle policies will be available in CloudWatch storage metrics. These storage metrics will also include object overhead bytes applied to objects in Amazon Glacier and small objects in S3 Standard-IA and S3 One Zone-IA.

We’ve updated three of our AWS training courses to map to the latest AWS service updates, current best practices, and exam domains. Classes are taught by accredited AWS instructors so you can learn best practices and get live feedback to your questions. 

Amazon ElastiCache for Redis is now FedRAMP authorized with a Provisional Authority to Operate (P-ATO) at the High Impact Level provided by the Joint Authorization Board (JAB). United States government customers and their partners can now use the latest version of ElastiCache for Redis to process and store their FedRAMP systems, data, and mission-critical, high-impact workloads in the AWS GovCloud (US) Region, and at moderate impact level in AWS US East/West Regions.

Application Auto Scaling is now available in AWS GovCloud (US).

You can now use a new capability for continuously aggregating data over time, stagger windows, in your Amazon Kinesis Data Analytics applications. Stagger windows enable you to emit timely and accurate SQL results in the face of late data.