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The official home of Kubernetes, the free open-source system for running and scaling containerized applications. Includes full documentation, tutorials and a browser-based interactive learning track — useful background if you are moving toward cloud, DevOps or AI infrastructure work.
Why I recommend it: The software and docs are free and open source. Running Kubernetes on a cloud provider costs money, so stick to the free local tutorials while you are learning.
GitHub's free article library explaining version control, DevOps, CI/CD, security practices and AI-assisted development in plain terms.
From the site: GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Why I recommend it: Good plain-English explainers for the terms that show up in job descriptions — read the DevOps and CI/CD ones before an interview.
A free self-assessment that maps your current Linux, cloud and automation skills against Red Hat's role paths and points you to the training and certifications that close the gaps.
Why I recommend it: Take this before you pay for any cloud certification — it tells you where you actually stand and what to study first.
HashiCorp's free documentation, hands-on tutorials and sandbox for Terraform, the infrastructure-as-code tool used to build and version cloud infrastructure across AWS, Azure, Google Cloud, Oracle Cloud and Docker.
Why I recommend it: Free, official, step-by-step tutorials — one of the fastest ways to get a real cloud skill on your resume without paying for a course.
Observability platform with a free-forever tier for distributed tracing, metrics, OpenTelemetry support and AI-assisted debugging. Useful for engineers learning modern observability and incident response.
A publisher covering cloud native, DevOps, open source, and AI-native software engineering news and analysis for developers, platform engineers, and engineering leaders.
Why I recommend it: One of the few tech news sources I trust to go deeper than the press release. If you are trying to understand what is actually happening in AI-native engineering, start here.
Free AI skill that converts GitHub Actions workflows into GitLab CI/CD pipelines, usable from Cursor, VS Code, Claude, or any MCP-compatible client.
From the site: Convert GitHub Actions workflows to GitLab CI/CD in seconds. Add a free AI skill to Cursor, VS Code, Claude, or any MCP-compatible client.
Why I recommend it: A practical way to show DevOps range: migrate a pipeline, document what changed, and add it to your portfolio. Also a clean example of how MCP skills plug into everyday tooling.
