Amazon Web Services FeedDeploying reinforcement learning in production using Ray and Amazon SageMaker Reinforcement learning (RL) is used to automate decision-making in a variety of domains, including games, autoscaling, finance, robotics, recommendations, and supply chain. Launched at AWS re:Invent 2018, Amazon SageMaker RL helps you quickly build, train, and deploy policies learned by RL. Ray…
Now you can monitor your Java apps without a single change of code – the Application Java agent can be enabled through just a couple of configuration changes, and will monitor Java applications in any environment.
Set, update, or remove access control lists (ACLs) recursively for existing Azure Data Lake Storage Gen2 filesystem.
Azure HDInsight private link integration allows you to create VNET injected clusters with no public IP and access them using your own private endpoints.
Amazon Web Services FeedAdding custom data sources to Amazon Kendra Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra provides native connectors for popular data sources like Amazon Simple Storage Service (Amazon S3), SharePoint, ServiceNow, OneDrive, Salesforce, and Confluence so you can easily add data from…
Amazon Web Services FeedIntroducing CloudWatch Lambda Insights CloudWatch Lambda Insights is a monitoring and troubleshooting solution for serverless applications running on AWS Lambda. The solution collects, aggregates, and summarizes system-level metrics including CPU time, memory, disk, and network. It also collects, aggregates, and summarizes diagnostic information such as cold starts and Lambda worker shutdowns to…