AWS FeedAccess an Amazon SageMaker Studio notebook from a corporate network Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning. It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, and deploy models. You can quickly upload data, create new notebooks,…
AWS FeedRun a Spark SQL-based ETL pipeline with Amazon EMR on Amazon EKS This blog post has been translated into the following languages: Spanish Portuguese Increasingly, a business’s success depends on its agility in transforming data into actionable insights, which requires efficient and automated data processes. In the previous post – Build a SQL-based ETL…
AWS FeedBuilding well-architected serverless applications: Optimizing application performance – part 2 This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a table…
This quality release includes bug fixes and security updates of the Azure Sphere OS.
Transition to custom availability tests in Application Insights by 31 August 2024.
Update to Java Async 2.x to Java SDK 4.x by 31 August 2024.