DevOps Engineer Course

Lesson 1 • DevOps Metrics and Value Streams

Introduces DORA metrics and value stream mapping to quantify delivery performance. Connects measurement to continuous improvement cycles.

Lesson 2 • Team Structures and Collaboration

Examines cross-functional team models and Conway's Law. Enables engineers to design team topologies that reduce handoff friction.

Lesson 3 • History and Evolution of DevOps

Traces DevOps from waterfall and Agile roots to modern practice. Provides context for why cultural and tooling shifts were necessary.

Lesson 1 • Text Processing and File Manipulation

Teaches grep, sed, awk, and piping for log analysis and data extraction. Directly supports log parsing in CI/CD and monitoring workflows.

Lesson 2 • Bash Scripting for Automation

Introduces variables, conditionals, loops, and functions in Bash. Enables engineers to automate repetitive operational tasks reliably.

Lesson 3 • Networking Fundamentals for Engineers

Reviews TCP/IP, DNS, and HTTP essentials needed to troubleshoot distributed systems. Prepares students for container networking and cloud connectivity topics.

Lesson 4 • Linux Command-Line Fundamentals

Covers filesystem navigation, permissions, and process management. Forms the operational baseline for all subsequent tooling chapters.

Lesson 1 • Git Core Concepts

Explains commits, trees, blobs, and the DAG model underlying Git. Builds mental models needed to understand advanced branching strategies.

Lesson 2 • Branching and Merging Strategies

Compares Git Flow, trunk-based development, and GitHub Flow. Enables teams to choose a strategy aligned with their release cadence.

Lesson 3 • Collaborative Workflows and Code Review

Covers pull requests, protected branches, and review best practices. Connects version control discipline to quality gates in CI pipelines.

Lesson 1 • Container Networking and Storage

Explains bridge, host, and overlay networks plus volume management. Prepares students for connecting containers in compose and orchestration environments.

Lesson 2 • Container Security Best Practices

Addresses image scanning, non-root users, and read-only filesystems. Integrates security hardening into the image build and runtime lifecycle.

Lesson 3 • Docker Compose for Local Environments

Uses Compose to define and run multi-service stacks locally. Bridges local development parity with production container configurations.

Lesson 4 • Container and Docker Fundamentals

Explains namespaces, cgroups, and how containers differ from VMs. Establishes the conceptual foundation for all container-based tooling.

Lesson 1 • Building CI Pipelines

Implements automated build, lint, and test stages using a modern CI platform. Teaches fast-feedback loop design to catch defects early.

Lesson 2 • CI/CD Concepts and Pipeline Anatomy

Defines continuous integration, delivery, and deployment with clear distinctions. Maps pipeline stages to the software delivery lifecycle.

Lesson 3 • Deployment Strategies and Release Patterns

Covers blue-green, canary, and rolling deployments with rollback mechanisms. Enables zero-downtime releases and controlled feature exposure.

Lesson 4 • Pipeline Security and Compliance Gates

Embeds SAST, dependency scanning, and policy checks into pipelines. Shifts security left to prevent vulnerable artifacts from reaching production.

Lesson 1 • Testing and Validating Infrastructure Code

Applies linting, policy-as-code, and integration testing to IaC. Prevents misconfigured infrastructure from reaching production environments.

Lesson 2 • Terraform Core Workflows

Covers HCL syntax, providers, resources, and the plan-apply cycle. Builds hands-on proficiency with the most widely adopted IaC tool.

Lesson 3 • Configuration Management with Ansible

Uses Ansible playbooks and roles to configure servers post-provisioning. Complements Terraform by handling OS-level configuration drift.

Lesson 4 • IaC Principles and Tool Landscape

Contrasts declarative vs. imperative IaC and surveys major tools. Establishes selection criteria for matching tools to organisational needs.

Lesson 1 • Kubernetes Security and RBAC

Implements role-based access control, pod security, and admission policies. Hardens cluster access and enforces least-privilege workload execution.

Lesson 2 • Persistent Storage in Kubernetes

Covers PersistentVolumes, StorageClasses, and StatefulSets for stateful apps. Addresses data durability requirements for databases and message queues.

Lesson 3 • Workload Configuration and Management

Covers ConfigMaps, Secrets, resource limits, and health probes. Ensures applications run reliably and securely within cluster constraints.

Lesson 4 • Kubernetes Architecture and Core Objects

Explains control plane, nodes, and foundational API objects. Provides the conceptual map needed to operate and troubleshoot clusters.

Lesson 5 • Kubernetes Networking and Ingress

Explains cluster networking, DNS, and ingress controller configuration. Enables external traffic routing and service-to-service communication.

Lesson 1 • Observability Pillars and Strategy

Defines metrics, logs, and traces as the three pillars of observability. Frames a coherent strategy for gaining system visibility across distributed services.

Lesson 2 • Incident Management and Postmortems

Establishes on-call rotations, runbooks, and blameless postmortem processes. Builds organisational resilience through structured learning from failures.

Lesson 3 • Centralised Log Management

Aggregates logs using a modern stack and applies structured logging patterns. Reduces mean time to diagnosis by making logs searchable and correlated.

Lesson 4 • Distributed Tracing

Instruments services with OpenTelemetry and visualises traces in a tracing backend. Pinpoints latency sources and failure propagation across microservices.

Lesson 5 • SLOs, SLAs, and Error Budgets

Defines service level objectives and error budgets to balance reliability and velocity. Connects observability data to business reliability commitments.