Containerization is changing how organizations deploy and use software. You can now deploy almost any software reliably with just the docker run command. And with orchestration platforms like Kubernetes and DC/OS, even production deployments are easy to set up.
You may have already experimented with Docker, and have maybe run a few containers. But one thing you might not have much experience with is understanding how Docker containers behave under different loads.
Because Docker containers, from the outside, can look a lot like black boxes, it’s not obvious to a lot of people how to go about getting runtime metrics and doing analysis.
In this post, we will set up a small CrateDB cluster with Docker and then go through some useful Docker commands that let us take a look at performance.
Read more at Crate.io