DevOps Roadmap Timeline
Master the foundation of most server environments and container technologies.
- CLI (Bash) commands and scripting
- Process management & permissions (ps, kill, chmod)
- Package managers (apt, yum)
- Text editors (vim)
Understand how systems communicate and how to secure them.
- OSI & TCP/IP models
- HTTP, HTTPS, SSH protocols
- IP addresses, DNS, subnetting
- Firewalls & proxy servers
- Basic load balancers & caching servers
Automate tasks and build tools with scripting languages.
- Languages: Python, Ruby, Golang
- Syntax fundamentals
- File handling
- Useful libraries for DevOps
- Automation scripts
Manage code changes and collaborate effectively with teams.
- Repository operations: init, clone, add, commit, push
- Collaboration: pull, merge, rebase
- Branching strategies
- Conflict resolution
Deploy and manage applications in cloud environments.
- Compute services (EC2, VMs)
- Storage services (S3, Blob Storage)
- Database services (RDS, Cosmos DB)
- Identity and Access Management (IAM)
- Virtual Private Cloud (VPC)
Package and run applications consistently across environments.
- Virtualization vs containerization
- Docker images and containers
- Dockerfile creation
- Docker compose for multi-container apps
Automate testing and deployment processes.
- Tools: Jenkins, GitHub Actions, GitLab CI, CircleCI
- Pipeline creation and management
- Automated testing integration
- Deployment strategies
Manage infrastructure through code for consistency and repeatability.
- Terraform for cloud resource provisioning
- Ansible for configuration management
- CloudFormation (AWS)
- ARM Templates (Azure)
Manage containerized applications at scale.
- Cluster management
- Deployments, Services, Pods
- kubectl commands (apply, delete, logs)
- Helm for package management
Gain visibility into system performance and troubleshoot issues.
- Tools: Prometheus, Grafana, ELK Stack, CloudWatch
- Metrics collection and visualization
- Log aggregation and analysis
- Alerting and incident response
DevOps Lifecycle
The DevOps lifecycle consists of eight phases that represent the processes, capabilities, and tools needed for development and operations.
Lifecycle
1. Plan
The planning phase involves defining requirements, creating project timelines, and establishing goals for the development process.
Key Activities:
- Requirements gathering and analysis
- Project planning and scheduling
- Resource allocation
- Risk assessment and mitigation planning
- Stakeholder communication
Common Tools: Jira, Trello, Asana, Confluence
2. Develop
During development, engineers write code according to requirements and implement features using version control systems.
Key Activities:
- Code development and implementation
- Version control management
- Code review processes
- Unit testing
- Integration with CI/CD pipelines
Common Tools: Git, GitHub, GitLab, Bitbucket, Visual Studio Code
3. Build
The build phase involves compiling code, running tests, and packaging applications into deployable artifacts.
Key Activities:
- Code compilation and packaging
- Dependency management
- Container image creation
- Artifact repository management
- Build automation
Common Tools: Maven, Gradle, Docker, Jenkins, Artifactory
4. Test
Testing ensures software quality through automated and manual testing processes before deployment.
Key Activities:
- Automated testing execution
- Performance and load testing
- Security vulnerability scanning
- User acceptance testing
- Test environment management
Common Tools: Selenium, JUnit, JMeter, SonarQube, OWASP ZAP
5. Release
The release phase involves preparing the application for deployment, including final approvals and scheduling.
Key Activities:
- Release planning and coordination
- Change management
- Deployment scheduling
- Release documentation
- Stakeholder communication
Common Tools: ServiceNow, Jira Service Management, XL Deploy
6. Deploy
Deployment involves moving the application to production environments, either through automated or manual processes.
Key Activities:
- Infrastructure provisioning
- Application deployment
- Database migrations
- Configuration management
- Rollback planning
Common Tools: Ansible, Chef, Puppet, Kubernetes, Terraform
7. Operate
Operation involves managing the infrastructure and services in production to ensure availability and performance.
Key Activities:
- Infrastructure management
- Incident response
- Performance optimization
- Capacity planning
- Disaster recovery
Common Tools: Kubernetes, Docker Swarm, AWS EC2, Azure VMs
8. Monitor
Monitoring involves tracking application and infrastructure performance to identify issues and optimize systems.
Key Activities:
- Application performance monitoring
- Infrastructure monitoring
- Log aggregation and analysis
- Alert management
- Performance reporting
Common Tools: Prometheus, Grafana, ELK Stack, Datadog, New Relic
Documentation Hub
Official documentation and resources for essential DevOps tools and technologies.