Tagged "tutorial"

Continuous Delivery and Continuous Deployment for Kubernetes microservices THIS IS A DRAFT VERSION OF POST TO COME, PLEASE DO NOT SHARE Starting Point Over last years we’ve been adopting several concepts for our project, straggling to make them work together. The first one is the Microservice Architecture. We did not start it clean and by the book, rather applied it to the already existing project: splitting big services into smaller and breaking excessive coupling.

Teaser Suppose you want to debug a Node.js application already running on a remote machine inside Docker container. And would like to do it without modifying command arguments (enabling debug mode) and opening remote Node.js debugger agent port to the whole world. I bet you didn’t know that it’s possible and also have no idea how to do it. I encourage you to continue reading this post if you are eager to learn some new cool stuff.

TL;DR Starting from Docker 17.05+, you can create a single Dockerfile that can build multiple helper images with compilers, tools, and tests and use files from above images to produce the final Docker image. The “core principle” of Dockerfile Docker can build images by reading the instructions from a Dockerfile. A Dockerfile is a text file that contains a list of all the commands needed to build a new Docker image.

TL;DR What is the bare minimum you need to build, test and run my Java application in Docker container? The recipe: Create a separate Docker image for each step and optimize the way you are running it. Introduction I started working with Java in 1998, and for a long time, it was my main programming language. It was a long love–hate relationship. DDuring my work career, I wrote a lot of code in Java.

In this post, I’ve decided to share with you some useful commands and tools, I’m frequently using, working with amazing Docker technology. There is no particular order or “coolness level” for every “hack”. I will try to present the use case and how does specific command or tool help me with my work. Cleaning up Working with Docker for some time, you start to accumulate development junk: unused volumes, networks, exited containers and unused images.