Kahibaro
Discord Login Register

DevOps on Linux

What “DevOps on Linux” Really Means

DevOps is about shortening the path from idea → code → running, reliable service.
On Linux, this becomes very concrete because:

This chapter focuses on how DevOps practices map to everyday Linux work, and how to use Linux features effectively when building CI/CD pipelines, automation, and observability.

You’ll see individual tools (YAML, GitHub Actions, GitLab CI/CD, automated testing) in their own chapters; here we focus on patterns and practices that are specific to Linux environments.


Core DevOps Workflows on Linux

Typical DevOps lifecycle on Linux

A very common Linux-centric DevOps loop looks like:

  1. Develop on Linux (or against a Linux-based container):
    • Use git, compilers, language tools, local databases, etc.
  2. Build on a Linux CI runner:
    • Compile, run tests, create artifacts (binaries, Docker images, .deb/.rpm, etc.).
  3. Package and publish:
    • Push artifacts to:
      • container registries,
      • package repositories,
      • object storage, or
      • internal artifact servers.
  4. Deploy to Linux servers or containers:
    • Use SSH-based tools, configuration management (Ansible, etc.), or container orchestrators.
  5. Operate and observe:
    • Monitor systemd services, logs in /var/log and journal, resource usage.
  6. Feedback:
    • Use logs, metrics, and incidents to improve code and pipelines.

Linux is at the center of this loop: the same system concepts (users, permissions, services, packages) appear at every stage.


Using Linux Features Effectively in DevOps

Non‑interactive & automated usage

DevOps automation rarely has a human at the keyboard. Linux tasks must be:

Patterns:

In CI configuration (e.g. GitHub Actions / GitLab CI), shell steps typically look like:








Views: 22

Comments

Please login to add a comment.

Don't have an account? Register now!