Minimal TLS version setting is now available for Azure Database for MySQL
Enforce a minimal transport layer security (TLS) version at the server level that applies to Azure Database for MySQL using the new TLS version setting.
Enforce a minimal transport layer security (TLS) version at the server level that applies to Azure Database for MySQL using the new TLS version setting.
Amazon Web Services FeedDocker Swarm Basics Training Course Launched We have been receiving many requests from our beloved learners for introducing a Docker Swarms training course. Today, it brings us more pleasure than ever to announce the launch of our new Docker Swarm basics training course. The introduction of container technology in the world of application…
Amazon Web Services FeedPioneering personalized user experiences at StockX with Amazon Personalize This is a guest post by Sam Bean and Nic Roberts II at StockX. In their own words, “StockX is a Detroit startup company revolutionizing ecommerce with a unique Bid/Ask marketplace—our platform models the New York Stock Exchange and treats goods like sneakers…
Amazon Web Services FeedHow Belle Fleur Uses APN Navigate to Differentiate its Business and Earn Trust with Customers By Jordy Covington, APN Navigate Product Manager For Belle Fleur Technologies, it’s all about the data. An AWS Partner Network (APN) Advanced Consulting Partner with AWS Service Delivery designations in Amazon QuickSight and AWS Lambda, Belle Fleur…
Amazon Web Services FeedServerless Azure Functions V2 – Linux, Python & .NET Core Support V2 Release We’re excited to announce the official v2 release of the Serverless Azure Functions plugin for the Serverless Framework. This version includes some exciting new features and fixes which we think will both simplify your development experience and enable you…
Amazon Web Services FeedAmazon SageMaker Components for Kubeflow Pipelines Today, we announced the public preview of Amazon SageMaker Components for Kubeflow Pipelines. Machine learning (ML) developers using Kubeflow Pipelines can convert their existing pipeline steps to run on SageMaker with the SageMaker Components. For instance, ML teams can use SageMaker for managed training on Spot…