KubeAtlas DevOps Training Hands-On DevOps Engineering

We walk through the roadmap for the next 10 weeks and the core principles of DevOps culture. You leave with a clear picture of what you'll learn, and why, in every module ahead.

Nearly every DevOps tool runs on Linux. You build a solid foundation — from the filesystem hierarchy to everyday command-line work.

You build on the fundamentals with real system administration skills — network configuration, systemd service management, package management, and log analysis you'll actually use in production.

You manage servers and infrastructure by writing code, not clicking. We apply repeatable, version-controlled infrastructure provisioning on both on-prem and Azure Cloud.

Why is everyone moving to containers? You compare VMs with containers and understand the speed, isolation, and portability gains container architecture brings.

You containerize your own application. From writing Dockerfiles to image optimization and pushing to a registry — a full production-grade workflow.

We go to the heart of Kubernetes. You learn what Control Plane and Worker Node components do and how Pods and core API resources come together.

You learn to run Kubernetes day-to-day — from pod placement to service discovery and the Ingress rules that expose services to the outside world.

You install complex applications with a single command. Package with Helm charts and manage multiple Kubernetes clusters centrally with tools like Rancher.

You bring your cluster up to production security standards. RBAC, Network Policy, and cluster hardening practices shrink your attack surface.

You start managing the full DevOps lifecycle in one platform. From version control with Azure Repos to a working CI setup with Azure Pipelines.

You build on the basic pipeline with advanced release and deployment strategies — YAML pipelines, environment management, and safe deployment flows to Prod and Dev.

You lock down container image security before it ever reaches production. From vulnerability scanning to generating an SBOM, you build the foundations of a trustworthy software supply chain.

You control exactly what your containers can touch at the kernel level. Linux Capabilities, seccomp profiles, and AppArmor shrink the runtime attack surface.

You build an end-to-end pipeline on another major platform in the industry. GitLab CI/CD, defined in .gitlab-ci.yml, plus runner management.

You learn to see what's actually happening in your systems. Set up a centralized logging architecture covering collection, search, and visualization end to end.

You learn to see what's happening in production before alarms fire. Metric collection with Prometheus, plus dashboards and alerting with Grafana.

You learn to diagnose cluster issues with AI-assisted tooling. K8sGPT-driven analysis and AI SRE practices that cut down operational overhead.

We close the program by reading the CNCF Landscape together and mapping your direction in the Cloud Native ecosystem, with an open Q&A to sharpen your career roadmap.