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DevOps Development Roadmap(2025 Edition)

Phase 1: Foundations

Beginner Level

Understand the fundamentals of OS, networking, and basic scripting

Computer Science & OS Basics

  1. 1. Linux fundamentals → File system, processes, permissions, services
  2. 2. Package management → apt, yum, dnf for software installation
  3. 3. System monitoring → top, htop, journalctl for system analysis
  4. 4. Practice: Set up Linux VM and practice basic system administration

Networking Basics

  1. 1. TCP/IP, UDP → Network protocols and packet transmission
  2. 2. DNS, HTTP/HTTPS → Domain resolution and web protocols
  3. 3. Ports & Firewalls → Network security and access control
  4. 4. SSH basics → Secure remote server access and key management

Scripting

  1. 1. Bash scripting → Automation, cron jobs, system tasks
  2. 2. Python for automation → requests, subprocess, paramiko libraries
  3. 3. File manipulation → Text processing, log analysis, data extraction
  4. 4. Practice: Create automated backup and monitoring scripts
Phase 1
Phase 2
Phase 2: Version Control & Collaboration

Beginner Level

Learn to manage code and collaborate with teams

Git Fundamentals

  1. 1. Basic operations → clone, add, commit, push, pull workflows
  2. 2. Branching strategies → Feature branches, git-flow, GitHub flow
  3. 3. Merging & rebasing → Conflict resolution, history management
  4. 4. Tags & releases → Version control, semantic versioning

Collaboration Platforms

  1. 1. GitHub → Repository management, pull requests, issues
  2. 2. GitLab → Integrated DevOps platform, merge requests
  3. 3. Bitbucket → Atlassian ecosystem integration, code review
  4. 4. Best practices → Commit messages, branch protection, workflows
Phase 2
Phase 3
Phase 3: CI/CD Basics

Intermediate Level

Learn how DevOps automates builds and deployments

CI/CD Platforms

  1. 1. Jenkins → Pipeline as code, plugin ecosystem, distributed builds
  2. 2. GitHub Actions → Workflow automation, marketplace actions, secrets
  3. 3. GitLab CI → Integrated pipelines, runners, multi-stage deployments
  4. 4. CircleCI → Cloud-native builds, parallelization, orbs

Pipeline Design

  1. 1. Build stages → Compile, test, package, security scanning
  2. 2. Testing automation → Unit tests, integration tests, quality gates
  3. 3. Deployment strategies → Blue-green, canary, rolling deployments
  4. 4. Pipeline optimization → Caching, parallelization, artifact management
Phase 3
Phase 4
Phase 4: Infrastructure as Code (IaC)

Intermediate Level

Automate infrastructure provisioning and configuration

Terraform

  1. 1. Resource provisioning → Servers, networks, storage, cloud services
  2. 2. State management → Remote state, locking, workspace organization
  3. 3. Modules → Reusable infrastructure components, versioning
  4. 4. Multi-cloud → AWS, Azure, GCP provider configurations

Configuration Management

  1. 1. Ansible → Playbooks, roles, inventory management, idempotency
  2. 2. Configuration drift → Detection, remediation, compliance checking
  3. 3. Secrets management → Ansible Vault, encrypted variables
  4. 4. Infrastructure testing → Molecule, Test Kitchen, validation

Package Management

  1. 1. Helm → Kubernetes package manager, charts, templating
  2. 2. Chart development → Values, templates, dependencies, hooks
  3. 3. Repository management → Chart museums, private registries
  4. 4. Release management → Upgrades, rollbacks, versioning strategies
Phase 4
Phase 5
Phase 5: Containers & Orchestration

Advanced Level

Master containerization and orchestration platforms

Docker Fundamentals

  1. 1. Container basics → Images, containers, Dockerfile optimization
  2. 2. Networking → Bridge, host, overlay networks, port mapping
  3. 3. Storage → Volumes, bind mounts, tmpfs, data persistence
  4. 4. Multi-stage builds → Build optimization, security, layer caching

Kubernetes Core

  1. 1. Workloads → Pods, Deployments, StatefulSets, DaemonSets, Jobs
  2. 2. Services & Networking → ClusterIP, NodePort, LoadBalancer, Ingress
  3. 3. Configuration → ConfigMaps, Secrets, environment variables
  4. 4. Storage → PersistentVolumes, StorageClasses, dynamic provisioning

Advanced Kubernetes

  1. 1. Custom Resources → CRDs, Operators, custom controllers
  2. 2. Security → RBAC, Pod Security Standards, Network Policies
  3. 3. Scaling → HPA, VPA, cluster autoscaling, resource management
  4. 4. Troubleshooting → Debugging pods, log analysis, performance tuning
Phase 5
Phase 6
Phase 6: Cloud Platforms

Advanced Level

Deploy and manage workloads in major cloud providers

Amazon Web Services (AWS)

  1. 1. Compute → EC2, Lambda, ECS, EKS, Auto Scaling Groups
  2. 2. Storage → S3, EBS, EFS, backup strategies, lifecycle policies
  3. 3. Networking → VPC, subnets, security groups, load balancers
  4. 4. Security → IAM, KMS, Secrets Manager, CloudTrail, GuardDuty

Microsoft Azure

  1. 1. Compute → Virtual Machines, App Service, AKS, Azure Functions
  2. 2. Storage → Blob Storage, File Shares, managed disks
  3. 3. Networking → Virtual Networks, Azure Load Balancer, Application Gateway
  4. 4. Security → Azure AD, Key Vault, Security Center, RBAC

Google Cloud Platform (GCP)

  1. 1. Compute → Compute Engine, GKE, Cloud Run, Cloud Functions
  2. 2. Storage → Cloud Storage, Persistent Disks, Cloud SQL
  3. 3. Networking → VPC, Cloud Load Balancing, Cloud Armor
  4. 4. Security → IAM, Cloud KMS, Security Command Center, Binary Authorization
Phase 6
Phase 7
Phase 7: Monitoring & Logging

Advanced Level

Ensure reliability, visibility and incident response

Metrics & Monitoring

  1. 1. Prometheus → Time-series database, PromQL, alerting rules
  2. 2. Grafana → Dashboards, visualizations, alerting, data sources
  3. 3. Application metrics → Custom metrics, SLIs, SLOs, error budgets
  4. 4. Infrastructure monitoring → Node exporter, cAdvisor, blackbox monitoring

Logging & Analysis

  1. 1. ELK Stack → Elasticsearch, Logstash, Kibana log processing
  2. 2. OpenSearch → Open-source alternative, log aggregation, search
  3. 3. Log management → Structured logging, log rotation, retention policies
  4. 4. Correlation → Metrics and logs correlation, root cause analysis

Distributed Tracing

  1. 1. OpenTelemetry → Observability framework, auto-instrumentation
  2. 2. Jaeger → Trace collection, storage, UI, performance analysis
  3. 3. Distributed systems → Service dependencies, latency analysis
  4. 4. APM integration → Application performance monitoring, error tracking
Phase 7
Phase 8
Phase 8: Security & Compliance

Expert Level

Secure CI/CD pipelines and infrastructure

Secrets Management

  1. 1. HashiCorp Vault → Dynamic secrets, encryption as a service
  2. 2. Cloud KMS → AWS KMS, Azure Key Vault, GCP Cloud KMS
  3. 3. Kubernetes secrets → Sealed Secrets, External Secrets Operator
  4. 4. Secret rotation → Automated rotation, zero-downtime updates

DevSecOps Tools

  1. 1. Container scanning → Trivy, Aqua Security, Twistlock vulnerability detection
  2. 2. Code analysis → SonarQube, Snyk, CodeQL static analysis
  3. 3. Infrastructure scanning → Checkov, tfsec, Terraform compliance
  4. 4. Runtime security → Falco, OPA Gatekeeper, admission controllers

Kubernetes Security

  1. 1. RBAC → Role-based access control, service accounts, permissions
  2. 2. Pod Security → Pod Security Standards, security contexts, capabilities
  3. 3. Network Security → Network Policies, service mesh, traffic encryption
  4. 4. Image security → Image signing, admission webhooks, policy enforcement
Phase 8
Phase 9
Phase 9: Advanced Topics

Expert Level

Industry-ready advanced DevOps practices and technologies

GitOps

  1. 1. ArgoCD → Declarative continuous delivery, application synchronization
  2. 2. FluxCD → GitOps operator, Helm integration, multi-tenancy
  3. 3. GitOps workflows → Pull-based deployments, configuration drift detection
  4. 4. Multi-cluster → Cross-cluster deployments, cluster bootstrapping

Service Mesh

  1. 1. Istio → Traffic management, security policies, observability
  2. 2. Linkerd → Lightweight service mesh, automatic mTLS
  3. 3. Service communication → Load balancing, circuit breakers, retries
  4. 4. Mesh federation → Multi-cluster service mesh, cross-cluster communication

Serverless & SRE

  1. 1. AWS Lambda → Event-driven computing, serverless architectures
  2. 2. Azure Functions → Serverless compute, triggers, bindings
  3. 3. GCP Cloud Functions → HTTP triggers, Pub/Sub integration
  4. 4. SRE principles → Error budgets, toil reduction, reliability engineering

🚀 Congratulations! You're DevOps Industry Ready!

You've completed the DevOps Development Roadmap and are now ready to build scalable infrastructure and lead DevOps initiatives.

🏆 Final Tips to Become Industry-Ready

  • • Contribute to open-source DevOps tools (Kubernetes, Terraform, Ansible)
  • • Build comprehensive portfolio with CI/CD, IaC, and monitoring projects
  • • Obtain cloud certifications (AWS, Azure, GCP) and Kubernetes certifications
  • • Stay updated via DevOps communities, CNCF projects, and platform documentation