Modern, cloud-based software development lifecycles have quickly evolved from waterfall and are fully embracing the agile principles of DevOps. As part of this shift, continuous delivery practices have been adopted, giving organizations the capability to deliver and release code faster and more frequently than ever before. CI/CD tools bring velocity — code is always ready to be deployed, enabling organizations to commit multiple times a day.
In modern software systems, it is common for several developers to work on the same project simultaneously. Siloed working with infrequent merging of code in a shared repository often leads to bugs and conflicts that are difficult and time-consuming to resolve. To solve this problem, we can adopt continuous integration.
Django is the most popular web development framework for the Python programming language. Its design facilitates rapid development without compromising on the standards of professionally built applications. It is free, open source, uses the Model-View-Template architectural pattern, and encapsulates a lot of boilerplates to enable developers churn out web apps quickly.
GitHub Actions are a powerful way to add automation to any source code repository. When you take that power and connect it with InfluxDB, you get an amazing combination that allows you to automate data generation, manage GitOps workflows, and a whole lot more. This post will highlight some of the interesting ways to use InfluxDB and GitHub Actions.