DevOps and Infrastructure - The-Learners-Community/RoadMaps-and-Resources GitHub Wiki

ROADMAP

Welcome to the DevOps and Infrastructure Roadmap! This guide is designed to take you from a beginner to an expert in DevOps and Infrastructure. Each section covers essential topics and skills you need to become proficient and dangerous.

Checkout roadmap.sh/devops

PROJECTS - Beginner to Master

Beginner Level

1. Version Control with Git

  • Description: Learn the basics of version control using Git.
  • Tasks:
    • Initialize a local Git repository.
    • Practice basic commands: add, commit, push, pull.
    • Understand branching and merging.
  • Technologies: Git, GitHub or GitLab.

2. Basic Linux Administration

  • Description: Get familiar with Linux command-line and basic system administration.
  • Tasks:
    • Navigate the filesystem.
    • Manage files and directories.
    • Understand permissions and users.
  • Technologies: Linux (Ubuntu, CentOS).

3. Setting Up a Web Server

  • Description: Install and configure a simple web server.
  • Tasks:
    • Install Apache or Nginx.
    • Serve a static HTML page.
    • Configure basic server settings.
  • Technologies: Apache, Nginx.

4. Introduction to Shell Scripting

  • Description: Write basic shell scripts to automate tasks.
  • Tasks:
    • Create scripts for file backup.
    • Automate system updates.
  • Technologies: Bash scripting.

5. Containerization with Docker

  • Description: Learn the basics of Docker and containerization.
  • Tasks:
    • Build a Docker image for a simple application.
    • Run a Docker container.
    • Understand Dockerfile basics.
  • Technologies: Docker.

6. Monitoring with Nagios (Basic)

  • Description: Set up basic monitoring using Nagios.
  • Tasks:
    • Install Nagios on a server.
    • Monitor system metrics like CPU and memory usage.
  • Technologies: Nagios.

7. Continuous Integration with Jenkins (Basic)

  • Description: Set up a simple CI pipeline using Jenkins.
  • Tasks:
    • Install Jenkins.
    • Configure a basic build job.
  • Technologies: Jenkins.

8. Infrastructure as Code with Terraform (Intro)

  • Description: Manage infrastructure using Terraform.
  • Tasks:
    • Write Terraform scripts to provision a virtual machine.
    • Understand the basics of Terraform configuration.
  • Technologies: Terraform.

9. Configuration Management with Ansible (Intro)

  • Description: Use Ansible for configuration management.
  • Tasks:
    • Write Ansible playbooks.
    • Automate the installation of packages on multiple servers.
  • Technologies: Ansible.

10. Logging with ELK Stack (Basic)

  • Description: Set up basic logging using Elasticsearch, Logstash, and Kibana.
  • Tasks:
    • Install the ELK stack.
    • Collect logs from a web server.
    • Visualize logs in Kibana.
  • Technologies: ELK Stack.

Intermediate Level

11. Advanced Docker and Docker Compose

  • Description: Manage multi-container applications.
  • Tasks:
    • Use Docker Compose to run multiple services.
    • Network containers together.
    • Manage volumes and environment variables.
  • Technologies: Docker, Docker Compose.

12. Kubernetes Basics

  • Description: Learn container orchestration with Kubernetes.
  • Tasks:
    • Set up a local Kubernetes cluster using Minikube.
    • Deploy applications to Kubernetes.
    • Understand pods, services, and deployments.
  • Technologies: Kubernetes, Minikube.

13. Continuous Deployment with Jenkins and Docker

  • Description: Automate deployment of applications using Jenkins and Docker.
  • Tasks:
    • Integrate Jenkins with Docker.
    • Set up a pipeline for building and deploying Docker images.
    • Automate testing and deployment.
  • Technologies: Jenkins, Docker.

14. Infrastructure as Code with Terraform (Intermediate)

  • Description: Manage complex infrastructure using Terraform.
  • Tasks:
    • Use Terraform modules and workspaces.
    • Manage infrastructure on AWS/Azure/GCP.
    • Implement remote state management.
  • Technologies: Terraform.

15. Configuration Management with Ansible (Intermediate)

  • Description: Use Ansible for complex configuration management.
  • Tasks:
    • Organize playbooks with roles.
    • Use Ansible Vault for secret management.
    • Automate configurations across multiple environments.
  • Technologies: Ansible.

16. Monitoring and Alerting with Prometheus and Grafana

  • Description: Set up advanced monitoring and alerting.
  • Tasks:
    • Install Prometheus and Grafana.
    • Monitor application and system metrics.
    • Configure custom alerts and dashboards.
  • Technologies: Prometheus, Grafana.

17. Logging with ELK Stack (Intermediate)

  • Description: Advanced logging and log analysis.
  • Tasks:
    • Set up centralized logging for multiple applications.
    • Parse and analyze logs with Logstash filters.
    • Implement alerting based on log data.
  • Technologies: ELK Stack.

18. Load Balancing and Reverse Proxy with Nginx

  • Description: Configure Nginx as a load balancer and reverse proxy.
  • Tasks:
    • Set up Nginx to distribute traffic among backend servers.
    • Configure SSL termination.
    • Implement caching strategies.
  • Technologies: Nginx.

19. Implementing CI/CD Pipelines

  • Description: Build a complete CI/CD pipeline.
  • Tasks:
    • Automate testing, building, and deployment.
    • Use tools like Jenkins, GitLab CI/CD, or CircleCI.
    • Integrate with version control systems.
  • Technologies: Jenkins, GitLab CI/CD, CircleCI.

20. Security and Compliance Automation

  • Description: Automate security checks and ensure compliance.
  • Tasks:
    • Implement automated vulnerability scanning.
    • Use tools like OpenSCAP or Chef InSpec.
    • Enforce compliance policies.
  • Technologies: OpenSCAP, Chef InSpec.

Advanced Level

21. Advanced Kubernetes Deployments

  • Description: Manage complex applications in Kubernetes.
  • Tasks:
    • Use Helm charts for application deployment.
    • Implement Kubernetes Operators.
    • Configure auto-scaling and rolling updates.
  • Technologies: Kubernetes, Helm.

22. Infrastructure Automation with Terraform (Advanced)

  • Description: Advanced Terraform usage for complex infrastructure.
  • Tasks:
    • Create reusable Terraform modules.
    • Manage multi-cloud deployments.
    • Implement infrastructure testing with Terratest.
  • Technologies: Terraform, Terratest.

23. Configuration Management with Puppet or Chef

  • Description: Use Puppet or Chef for large-scale configuration management.
  • Tasks:
    • Write Puppet manifests or Chef cookbooks.
    • Manage hundreds of nodes.
    • Implement test-driven infrastructure.
  • Technologies: Puppet, Chef.

24. Implementing Service Mesh with Istio

  • Description: Manage microservices communication with a service mesh.
  • Tasks:
    • Install Istio on a Kubernetes cluster.
    • Configure traffic management policies.
    • Implement mutual TLS authentication.
  • Technologies: Istio, Kubernetes.

25. Building a Scalable Microservices Architecture

  • Description: Design and implement a microservices architecture.
  • Tasks:
    • Decompose a monolithic application into microservices.
    • Implement API gateways and service discovery.
    • Set up distributed tracing and logging.
  • Technologies: Docker, Kubernetes, API Gateway (e.g., Kong), Zipkin or Jaeger.

26. High Availability and Disaster Recovery

  • Description: Implement strategies for high availability and disaster recovery.
  • Tasks:
    • Set up failover clusters.
    • Configure data replication and backups.
    • Create and test disaster recovery plans.
  • Technologies: Varies (e.g., Pacemaker, DRBD, Cloud-specific services).

27. Implementing Continuous Security (DevSecOps)

  • Description: Integrate security into every stage of the DevOps pipeline.
  • Tasks:
    • Automate security testing (SAST, DAST).
    • Implement container security scanning.
    • Use infrastructure as code security tools.
  • Technologies: Snyk, SonarQube, OWASP ZAP, Anchore.

28. Building Infrastructure with AWS CloudFormation or Azure Resource Manager

  • Description: Use cloud-native tools for infrastructure as code.
  • Tasks:
    • Write templates to provision and manage cloud resources.
    • Implement stack updates and rollbacks.
    • Use parameters and mappings for dynamic configurations.
  • Technologies: AWS CloudFormation, Azure Resource Manager (ARM).

29. Managing Infrastructure with Kubernetes Operators

  • Description: Automate complex application management using Operators.
  • Tasks:
    • Develop a custom Kubernetes Operator.
    • Manage application lifecycle (install, upgrade, backup).
  • Technologies: Kubernetes, Operator Framework, Go programming.

30. Implementing Site Reliability Engineering (SRE) Practices

  • Description: Apply SRE principles to improve system reliability.
  • Tasks:
    • Define Service Level Objectives (SLOs) and Service Level Indicators (SLIs).
    • Implement error budgets.
    • Automate incident response and post-mortems.
  • Technologies: Various monitoring and alerting tools.

31. Setting Up a Private Cloud with OpenStack

  • Description: Deploy and manage a private cloud infrastructure.
  • Tasks:
    • Install OpenStack components.
    • Configure compute, storage, and networking services.
    • Manage users and projects.
  • Technologies: OpenStack.

32. Implementing Infrastructure Monitoring with ELK Stack and Machine Learning

  • Description: Use machine learning for anomaly detection in logs.
  • Tasks:
    • Set up Elastic's machine learning features.
    • Detect unusual patterns and generate alerts.
  • Technologies: ELK Stack, Elastic ML.

33. Container Security with Falco and Aqua Security

  • Description: Enhance security in containerized environments.
  • Tasks:
    • Install Falco for runtime security monitoring.
    • Scan container images for vulnerabilities.
    • Implement security policies and compliance checks.
  • Technologies: Falco, Aqua Security.

34. Chaos Engineering

  • Description: Test system resilience by introducing controlled failures.
  • Tasks:
    • Use tools like Chaos Monkey or Gremlin.
    • Simulate network latency, service crashes, and resource exhaustion.
    • Analyze system behavior and improve reliability.
  • Technologies: Chaos Monkey, Gremlin.

35. Implementing a Centralized Logging and Monitoring System for Microservices

  • Description: Aggregate logs and metrics from all microservices.
  • Tasks:
    • Use tools like Fluentd or Logstash for log aggregation.
    • Implement distributed tracing with Jaeger or Zipkin.
    • Create comprehensive dashboards and alerts.
  • Technologies: Fluentd, Logstash, Prometheus, Grafana.

Happy coding and advancing your DevOps and Infrastructure skills!