Ever need to debug your process in containers? Use strace, lsof, pstree, or anything you name it. But after login, you get a surprise: The tools are not installed!
So what will you do? Typically we have 3 different methods. Check it out, and discuss with me.
(Hint: You don’t have to install the tools at all)
How Would You Enforce Code Static Check? Learn and understand the check tools. Then install and configure them in your servers.
With docker, it could be much easier than ever! Let me show you how. The solution has built-in supports for: Python, Ruby, Shell. (You definitely can add more).
And What Does It Take? 5 minutes. Yes, you hear me. Only 5 minutes!
With Docker deployment, smaller images are usually better.
But your docker images will keep changing. And you just don’t remember to check it for a while. Then someday you happen to find out some huge images in your deployment pipeline. Feel uncomfortable, don’t you? Any thoughts about how to improve it?
My answer is like always: Monitor That! And Get Slack notifications.
Enclosed is my approach. Check it out! And discuss with me, my friends.
Nowadays when people setup and configure services, probably nobody will enjoy doing it in a manual way.
Here comes a new question. How do you automate the process, and make it fast and reliable?
Wrap up some ssh scripts? Leverage CM(configuration management tools) like chef, ansible, or pupet? Use docker run? It’s great that we now have many options. But, as you may guess, not all of them are equally good.
You want a headache-free solution, right? And you also want it real quick, do you? Then You Can Not Miss docker-compose! Here are some useful tips and lessons learned using docker-compose.
Using Docker, deployments are more reliable and faster than ever. But how about the docker images build? Containers don’t have any silver bullets. It shifts installation instability from deployment cycle to image build cycle.
I would expect a general solution for the verification of all docker images build. And it should work across different projects. This means less time and effort. Certainly, save money!
