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DevOps

Introduction

This folder contains learning materials for DevOps engineering. Learn step-by-step from DevOps culture and fundamentals through CI/CD pipelines, Infrastructure as Code, configuration management, container orchestration, and service mesh networking.

Target Audience: Software engineers, system administrators, platform engineers, and anyone building or operating production systems.

Learning Roadmap

[Foundations]              [CI/CD]                  [Infrastructure]
     |                        |                           |
     v                        v                           v
DevOps Fundamentals ---> CI Fundamentals --------> Infrastructure as Code
     |                        |                           |
     v                        v                           v
Version Control -------> GitHub Actions            Terraform Advanced
  Workflows                   |                           |
                              v                           v
                    Container Orchestration     Configuration Management
                        Operations                        |
                              |                           v
                              +-------> Service Mesh & Networking

Prerequisites

  • Linux -- Command line and system administration fundamentals
  • Git -- Version control basics
  • Docker -- Containerization concepts and usage
  • Cloud Computing -- Cloud platform familiarity

File List

File Difficulty Main Topics
01_DevOps_Fundamentals.md ⭐ DevOps culture, CALMS framework, DORA metrics, lifecycle
02_Version_Control_Workflows.md ⭐⭐ GitFlow, trunk-based development, branching strategies, monorepo vs polyrepo
03_CI_Fundamentals.md ⭐⭐ CI pipeline concepts, build/test/deploy stages, artifact management
04_GitHub_Actions_Deep_Dive.md ⭐⭐⭐ Workflow syntax, runners, matrix strategy, reusable workflows
05_Infrastructure_as_Code.md ⭐⭐⭐ IaC principles, Terraform basics, HCL, state management
06_Terraform_Advanced.md ⭐⭐⭐⭐ Modules, workspaces, data sources, Terragrunt, testing
07_Configuration_Management.md ⭐⭐⭐ Ansible playbooks, roles, inventory, Jinja2, vault
08_Container_Orchestration_Operations.md ⭐⭐⭐⭐ K8s Deployments, Services, HPA, resource management, rolling updates
09_Service_Mesh_and_Networking.md ⭐⭐⭐⭐ Istio, Envoy sidecar, traffic management, mTLS, observability
10_Monitoring_and_Alerting.md ⭐⭐⭐ Prometheus, Grafana, PromQL, Alertmanager, USE/RED methods
11_Logging_Infrastructure.md ⭐⭐⭐ ELK stack, Loki/Grafana, structured logging, log aggregation
12_Distributed_Tracing.md ⭐⭐⭐ OpenTelemetry, Jaeger, traces/spans, context propagation, sampling
13_Deployment_Strategies.md ⭐⭐⭐⭐ Blue-green, canary, rolling updates, A/B testing, feature flags
14_GitOps.md ⭐⭐⭐⭐ ArgoCD, Flux, pull-based deployment, drift detection, multi-environment
15_Secrets_Management.md ⭐⭐⭐ HashiCorp Vault, SOPS, Sealed Secrets, dynamic secrets, rotation
16_Chaos_Engineering.md ⭐⭐⭐⭐ Chaos Monkey, Litmus, fault injection, game days, blast radius
17_Platform_Engineering.md ⭐⭐⭐⭐ Internal developer platforms, Backstage, golden paths, self-service
18_SRE_Practices.md ⭐⭐⭐⭐ SRE principles, SLOs/SLIs/SLAs, error budgets, toil elimination, incident management
19_Observability_Engineering.md ⭐⭐⭐⭐ Observability vs monitoring, telemetry types, OpenTelemetry, instrumentation
20_SLO_Engineering.md ⭐⭐⭐⭐ SLIs/SLOs/SLAs, error budgets, burn rate alerts, SLO-based alerting
21_Signal_Correlation.md ⭐⭐⭐⭐ Correlating metrics/logs/traces, exemplars, trace-to-log linking
22_Advanced_Metrics_Architecture.md ⭐⭐⭐⭐⭐ Prometheus federation, Thanos/Mimir, cardinality management, recording rules
23_OpenTelemetry_Pipelines.md ⭐⭐⭐⭐⭐ OTel Collector architecture, processors, exporters, tail sampling
24_eBPF_Observability.md ⭐⭐⭐⭐⭐ eBPF fundamentals, bpftrace, Cilium Hubble, kernel-level observability
25_Continuous_Profiling.md ⭐⭐⭐⭐ CPU/memory profiling, Pyroscope, pprof, flame graphs
26_Incident_Response.md ⭐⭐⭐⭐ On-call practices, incident management, postmortems, runbooks
27_AIOps_Anomaly_Detection.md ⭐⭐⭐⭐⭐ ML-based anomaly detection, intelligent alerting, automated remediation
28_Capstone_Full_Stack_Observability.md ⭐⭐⭐⭐⭐ End-to-end observability platform design, tool selection, cost management

Recommended Learning Order

Step 1: DevOps Foundations

  1. DevOps Fundamentals -- Culture, principles, and metrics
  2. Version Control Workflows -- Branching strategies for team collaboration

Step 2: CI/CD Pipelines

  1. CI Fundamentals -- Pipeline concepts and best practices
  2. GitHub Actions Deep Dive -- Hands-on CI/CD implementation

Step 3: Infrastructure as Code

  1. Infrastructure as Code -- Terraform fundamentals
  2. Terraform Advanced -- Production-grade IaC patterns

Step 4: Configuration and Orchestration

  1. Configuration Management -- Ansible for automation
  2. Container Orchestration Operations -- Kubernetes in production

Step 5: Advanced Networking and Operations

  1. Service Mesh and Networking -- Istio and traffic management
  2. Monitoring and Alerting -- Prometheus, Grafana, alerting

Step 6: Operations and Reliability

  1. Logging Infrastructure -- ELK stack, Loki, structured logging
  2. Distributed Tracing -- OpenTelemetry, Jaeger, context propagation
  3. Deployment Strategies -- Blue-green, canary, rolling updates, feature flags
  4. GitOps -- ArgoCD, Flux, pull-based deployment
  5. Secrets Management -- Vault, SOPS, dynamic secrets
  6. Chaos Engineering -- Fault injection, game days, blast radius
  7. Platform Engineering -- Internal developer platforms, Backstage
  8. SRE Practices -- SLOs, error budgets, toil elimination, incident management

Step 7: Advanced Observability

  1. Observability Engineering -- Observability vs monitoring, OpenTelemetry
  2. SLO Engineering -- SLIs/SLOs/SLAs, error budgets, burn rate alerts
  3. Signal Correlation -- Correlating metrics, logs, and traces
  4. Advanced Metrics Architecture -- Prometheus federation, Thanos, Mimir
  5. OpenTelemetry Pipelines -- OTel Collector, tail sampling
  6. eBPF Observability -- Kernel-level observability, bpftrace, Hubble
  7. Continuous Profiling -- Flame graphs, pprof, Pyroscope
  8. Incident Response -- On-call, postmortems, runbooks
  9. AIOps and Anomaly Detection -- ML-based alerting, automated remediation
  10. Capstone: Full-Stack Observability -- End-to-end platform design

Practice Environment

Essential Tools

# Install Terraform
brew install terraform    # macOS
# or download from https://www.terraform.io/downloads

# Install Ansible
pip install ansible

# Install kubectl
brew install kubectl      # macOS

# Install GitHub CLI
brew install gh

# Verify installations
terraform --version
ansible --version
kubectl version --client
gh --version

Local Kubernetes

# minikube for local K8s
brew install minikube
minikube start

# Verify
kubectl cluster-info

Related Materials

License: CC BY-NC 4.0