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Amazon S3 Batch Operations now manages buckets or prefixes in a single step

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Amazon S3 Batch Operations can now manage objects within an S3 bucket, prefix, suffix, or more, in a single step. When creating an S3 Batch Operation, customers can specify the objects on which to perform the operation. Now, you have the option to instead specify an entire bucket, prefix, suffix, creation date, or storage class. Amazon S3 Batch Operations will then quickly apply the operation to all the matching objects and notify you when the job completes.

Mountpoint for Amazon S3 optimizes for repeated data access

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Mountpoint for Amazon S3 can now cache data in Amazon EC2 instance storage, instance memory, or an Amazon EBS volume for repeated data access. This avoids redundant requests to Amazon S3 when you need to read the same data multiple times, which improves both the cost and performance of your application. For example, by using Mountpoint for Amazon S3 and caching data in Amazon EC2 instance storage, you can complete your machine learning training jobs up to 2x faster by avoiding redundant requests to Amazon S3.

Introducing the Amazon S3 Connector for PyTorch

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The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3. PyTorch is an open source machine learning framework widely used by AWS customers to build and train machine learning models. The Amazon S3 Connector for PyTorch automatically optimizes S3 read and list requests to improve data loading and checkpoint performance for your training workloads. Saving machine learning training model checkpoints is up to 40% faster with the Amazon S3 Connector for PyTorch than saving to Amazon EC2 instance storage.

Amazon Kinesis Data Streams launches cross-account access with AWS Lambda

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Amazon Kinesis Data Streams now supports resource-based policies, so you can process data ingested into a stream in one account with an AWS Lambda function in another account. Amazon Kinesis Data Streams is a serverless real-time data streaming service that can continuously capture gigabytes of data per second from hundreds of thousands of sources. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Together with Kinesis Data Streams and Lambda, you can build a completely serverless data streaming pipeline.

AWS CodePipeline supports starting a pipeline execution with source revision overrides

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AWS CodePipeline announces the ability to start a pipeline execution with source revision overrides. Until today, a manually started pipeline execution would automatically select the “latest revision” for each source in the pipeline. The “latest revision” depended on the source action type. For example, for a CodeCommit source, the HEAD commit reference in the configured repository and branch was used, and for Amazon Elastic Container Registry (ECR) source, the latest digest of the configured image repository and tag was used. Now, when you start a pipeline execution, you can override the source revisions for the source actions in your pipeline. 

AWS Security and MSSP Specializations now included in AWS Marketplace Vendor Insights

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AWS Marketplace sellers with a Security Specialization or a Level 1 Managed Security Service Provider (MSSP) Specialization can now add these Specializations to their Vendor Insights security profiles. These are in addition to already available certifications for SOC 2 Type 2, ISO 27001, FedRAMP, PCI DSS, HIPAA, and GDPR compliance. AWS Marketplace Vendor Insights helps streamline the complex third-party software risk assessment process by enabling sellers to make security and compliance information available to buyers through AWS Marketplace. 

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