Many infrastructure teams default to “put everything in containers.” Kubernetes makes it simple to deploy and manage services at scale, so databases often get pulled along for the ride. However, databases aren’t just another microservice. They rely on predictable performance from CPU, memory, storage, and networking – and containers can get in the way of … continue reading The post Database Performance on Kubernetes: Tradeoffs and Lessons Learned appeared first on ITOps Times.
