Çomak's Notes on Software

CI/CD as Code Part I – Introduce a stateful Jenkins Docker Container

The purpose of this sample series is to create a simple set of examples, which showcases CI/CD as Code, using Jenkins. The primary goal is to create a stateless CI/CD setup, which can be bootstrapped from a set of configuration files and scripts so that many problems related to maintenance of the infrastructure and other operational issues are reduced.

We are going to follow a step-by-step approach in this series. You can reach each step using the links below.

Creating a Custom MySQL Docker Image with initialization Scripts

This blog post aims to provide an introduction for creating a MySQL Docker image with predefined data in it. Therefore, it does not address explanations of basic Docker commands and instructions.

Containerisation has many advantages. One advantage among these is getting up and running quickly with a production-ready data source, which has predefined data in it. This way we can share and use the application data state in local development environments easily.

In this article, we are going to create such a customized data source container, in order to speed up our development activities. Even though MySQL is used as the database system in this blog post, similar concepts are applicable to other database systems as well.

If you haven’t seen it yet, you might also want to read Creating a Custom PostgreSQL Docker Image with Initialization Scripts — the process is quite similar, but there are a few PostgreSQL-specific nuances we’ll cover here.

Testing Java Projects with Groovy

This example demonstrates how we can implement our tests using groovy in a java based project. You might be asking why. Well, implementing tests with groovy has some advantages like easier mock creation, expressive business readable test method names, seamless adaptation with BDD frameworks, and so on. If you want to investigate testing java projects with groovy, the article will, then, provide you a starting point for your investigation.

Spring Boot Rest API Documentation Using Rest Assured Tests

A clear and concise REST API documentation is mandatory for a rest API to be easily used. However, it’s error-prone and it is also hard to maintain API documentation if we attempt to write it manually. This sample project demonstrates how we can use rest assured tests along with spring boot to generate API documentation with a small amount of manual work.