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Practical Log Viewers with Sanic and Elasticsearch - Designing CI/CD Systems

One of the critical pieces in a build system is the ability to view build and test output. Not only does it track progress as the build transitions through the various phases, it’s also an instrument for debugging.

This chapter in the continuous builds series covers how to build a simple log viewer. You’ll find details on retrieving log entries from Docker containers, serving them through Python, linking from a GitHub pull request, and highlighting the data for easy reading.

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Command Execution Tricks with Subprocess - Designing CI/CD Systems

The most crucial step in any continuous integration process is the one that executes build instructions and tests their output. There’s an infinite number of ways to implement this step ranging from a simple shell script to a complex task system.

Keeping with the principles of simplicity and practicality, today we’ll look at continuing the series on Designing CI/CD Systems with our implementation of the execution script.

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Easy Clustering with Docker Swarm - Designing CI/CD Systems

Building code is sometimes as simple as executing a script. But a full-featured build system requires a lot more supporting infrastructure to handle multiple build requests at the same time, manage compute resources, distribute artifacts, etc. After our last chapter discussing build events, this next iteration in the CI/CD design series covers how to spin-up a container inside Docker Swarm to run a build and test it. What is Docker Swarm When running the Docker engine in Swarm mode your effectively creating a cluster. Continue reading

Effortless Parsing of Build Specifications - Designing CI/CD Systems

Every code repository is different. The execution environment, the framework, the deliverables, or even the linters, all need some sort of customization. Creating a flexible build system requires a mechanism that specifies the steps to follow at different stages of a pipeline.

As the next chapter in the Comprehensive CI/CD Pipeline and System Design series, this article examines which instructions you’ll want to convey to your custom system and how to parse them. The focus is around a common solution, adding a file into the repository’s root directory that’s read by your execution engine when receiving new webhooks.

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Comprehensive CI/CD System Design

Continuous integration and delivery is finally becoming a common goal for teams of all sizes. After building a couple of these systems at small and medium scales, I wanted to write down ideas, design choices and lessons learned. This post is the first in a series that explores the design of a custom build system created around common development workflows, using off-the-shelf components where possible. You’ll get an understanding of the basic components, how they interact, and maybe an open source project with example code from which to start your own.

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Using Python to Interact with Docker Containers

“You should really be looking at Vagrant” — he said while I struggled with the keyboard, as if pressing the keys harder was going to magically make it work.

I had recently completed a utility — you know, one of those things that slurp in data from some black hole in a distant corner of the universe, marries it with the structure of a different time-space continuum, and magically spawns a pretty visual representation for mere mortals to easily consume — and I was having the hardest time getting all the pieces together for a demo on a laptop running that OS (yes, that one).

My buddy was trying to point me to a system that helps provision virtual machines from a simple configuration file. A solution which was becoming common in application distribution and deployment, as well as a method to standardize development environments.

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