- Advanced Project-Based Learning
Engage in projects that integrate the advanced topics covered in the learning path. For example, design and implement a multi-stage CI/CD pipeline that incorporates advanced deployment strategies (blue/green, canary, rolling) and integrates robust monitoring and optimization tools.
Develop an end-to-end DevOps solution that:
- Integrates microservices architecture with service discovery and API gateways.
- Implements advanced container orchestration using Kubernetes with service mesh integration (e.g., Istio).
- Deploys infrastructure using advanced IaC techniques with tools like Terraform or CloudFormation.
- Incorporates automated security scanning and compliance checks within the CI/CD process.
- Leverages cloud-native services from AWS, Azure, or GCP to build a scalable, secure, and resilient environment.
- Team Collaboration Challenges
Work in cross-functional teams to simulate real-world organizational dynamics:
- One team can focus on pipeline optimization and automation.
- Another team can tackle advanced monitoring, observability, and performance tuning.
- Teams then integrate their solutions to form a cohesive, production-grade DevOps ecosystem.
- Chaos Engineering Experiment
Design and execute chaos experiments to test system resilience:
- Inject controlled failures into the environment.
- Monitor system responses using distributed tracing and advanced logging.
- Document insights and iterate improvements based on the outcomes.
- Documentation, Reporting, and Presentation
Each project must include:
- Detailed documentation outlining design decisions, challenges encountered, and the impact of implemented solutions.
- Comprehensive postmortem analysis for any incidents or failures during testing.
- A final presentation to peers and stakeholders to demonstrate the project’s outcomes and gather feedback, simulating real-world communication and continuous improvement practices.