The DevOps Path

By Sudheer S

The DevOps Path

  1. Learn Linux. Install Linux on your laptop. Get familiar with Linux commands. Learn virtualization. Unlock the path to learn more Linux.
  2. Programming. Acquiring some programming skills using a general purpose programming language like Python goes a long way. Learning some web development is required in most DevOps engineering contexts. Although you don’t have to be an expert in web development, you should have a clear understanding of workloads consisting of web applications and microservices. Learning some HTML, CSS and JavaSript is required for web development. At this point, you have to learn at least one database system. I recommend PostgreSQL to get started with relational database system. Git is also an essential tool to manage source code.
  3. Automation is the cornerstone of DevOps engineering. Learn the basics of automation with Ansible and shell scripting.
  4. CI/CD. The purpose of DevOps is to create a culture and practice where developers can ship their applications to customers quickly, safely and continuously. The CI/CD pipelines often constitute the backbone of the DevOps practice. Jenkins is a popular tool to create CI/CD pipelines. Learn the basics of Jenkins and create pipelines to automatically test and deploy applications.
  5. Observability and monitoring. Start with Linux commands such as top, free, du and progress towards Prometheus. The typical Prometheus stack includes Alert Manager and Grafana. Then explore the world of traces with tools such as Jaeger and OpenTelemetry.
  6. Kubernetes. The quintessential container orchestration platform.
  7. Cloud engineering. Start with one of the popular clouds such as AWS, Azure or GCP.
  8. IAC. Take automation to the next level in the cloud. Use Terraform to orchestrate resources in the cloud.

Tech Chorus References

Learning Resources

DevOps

  • Coursera Course: Google IT Automation with Python Professional Certificate
    • Crash Course On Python
    • Using Python to Interact with the Operating System
    • Introduction to Git and GitHub
    • Troubleshooting and Debugging Techniques
    • Configuration Management and the Cloud
    • Automating Real-World Tasks with Python

Python