Learn Linux server administration, Docker, GitHub Actions, Terraform, Kubernetes, and Site Reliability Engineering.
Minimum: 4GB–8GB RAM laptop with SSH client (use AWS Skill Builder, Google Cloud Skills Boost & Play with Docker in browser).
Recommended: 16GB RAM, 4+ CPU cores, 256GB+ SSD for running Docker Desktop and local Minikube/KinD Kubernetes clusters.
Free Cloud Option: Play with Docker, KillerCoda (Kubernetes browser labs), and Microsoft Learn / AWS Free Sandboxes — zero credit card risk.
Laptop Essential
You can read Linux & SRE books on a phone, but terminal scripting, Docker, Terraform, and Kubernetes labs require a laptop.
Internet: 3–10 Mbps recommended for pulling container images and cloud lab consoles.
Hardware / Kit: None required — all servers and clusters run via containers or free cloud sandboxes.
Zero prior experience required — core concepts & first hands-on builds.
Automate routine server tasks with shell scripts and manage remote Linux VMs.
Understand cloud regions, object storage, virtual networks, and least-privilege IAM.
Build real multi-part projects, tooling fluency, and problem-solving speed.
Package applications consistently using multi-stage Dockerfiles and Docker Compose.
Automatically lint, test, build, and deploy every commit via reproducible pipelines.
Production patterns, architecture, automation, and security rigor.
Provision and configure cloud infrastructure declaratively using version-controlled code.
Deploy, scale, and self-heal containerized workloads on Kubernetes.
Scale, observability, testing, leadership, and real-world deployment.
Instrument metrics, distributed traces, and actionable alerts before users notice outages.
Balance release velocity with reliability using SLIs, SLOs, error budgets, and blameless postmortems.
Score 80% or higher (5 scenario questions) + submit your real practical capstone project after at least 7 days of study to earn a Verified MESHLUMA Certificate.
Tests are given after studying all 8 steps to prove real practical mastery.
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