Database Administration & Monitoring, DevOps, Docker, SQL Server SQL Server containers and docker network driver performance considerations 05.07.2019 by Microsoft Team Few months ago I attended to the Franck Pachot session about Microservices and databases at SOUG Romandie in Lausanne on 2019 May 21th. He covered some performance challenges that can be introduced by Microservices architecture design(…)
DevOps, Docker First immersion in the Docker Conference EU 2018 08.12.2018 by Microsoft Team In short, a very interesting event for both Devs and Ops. Every day was organized around workshops, hands-on-labs sessions and Hallway tracks. My colleague Mehdi Bada and I tried to attend as much sessions as possible but obviously it was(…)
Database Administration & Monitoring Dealing with ugrade scenarios for SQL Server on Docker and Swarm 06.06.2018 by Microsoft Team This blog post comes from an interesting experience with one customer about upgrading SQL Server on a Docker environment. Let’s set quickly the context: a production environment that includes a standalone Docker engine on the top of openSUSE Linux distribution(…)
Database Administration & Monitoring Load Balancing with Docker Swarm mode and SQL Server containers 03.05.2018 by Microsoft Team Docker swarm mode provides an easy way to publish ports for services. Indeed, in this mode all nodes participate in an ingress routing mesh and accept connections to any service port published. Thus, all incoming requests are routed to available(…)
Database Administration & Monitoring Managing SQL Server sa credentials with Docker secrets on Swarm 27.04.2018 by Microsoft Team A couple of weeks ago, I was working on a MSSQL Server docker image in a context of Hidora, a swiss cloud provider based on jelastic and for Docker-based applications. When writing(…)
Database Administration & Monitoring Introducing SQL Server on Docker Swarm orchestration 02.02.2018 by Microsoft Team SQL Server 2017 is available on multiple platforms: Windows, Linux and Docker. The latter provides containerization features with no lengthy setup and special prerequisites before running your SQL Server databases which are probably the key success of adoption for developers.