DevOps & Agile SOP

Vision

To drive widespread adoption of DevOps principles, Agile methodologies, and open-source contributions, while minimizing developer overhead and maximizing efficiency.

Tooling Consolidation

• Jira
• Confluence
• GitHub

Agile & Task Management (Jira)

• Task Breakdown:
  • User Stories: Define features from a user perspective.
  • Tasks: Break down stories into granular, estimable tasks.
  • Sub-tasks: Further divide complex tasks for clarity.
  • Each task should be estimable in story points and assigned to a single developer.
• Jira Workflows:
  • Standardized workflows for development, bug fixes, and support requests.
  • Use Jira Service Management for support tickets, linked to development tasks when necessary.
  • Use Jira to track and manage all work, from initial feature request through to production release.
• Estimation & Planning:
  • Use story points for estimation, facilitating velocity tracking and sprint planning.
  • Regular sprint planning and review meetings to ensure alignment and progress.

Source Code & Package Management (GitHub) - Trunk-Based Development

• Trunk-Based Development:
  • All developers commit directly to the main branch.
  • Short-lived feature branches for specific tasks, merged frequently.
  • Feature flags to enable/disable incomplete features in production.
  • Emphasis on continuous integration and continuous delivery.
  • Code reviews are mandatory for all pull requests before merge to main.
• GitHub Actions:
  • Automate CI/CD pipelines for building, testing, and deploying code.
  • Automate package publishing to appropriate repositories (e.g., npm, Maven).
  • Automate OpenAPI-generator to create client libraries on API changes.
• Package Management:
  • Utilize GitHub Packages or other repositories for managing dependencies and distributing SDKs.
  • Automate the release of SDKs when new API client libraries are generated.
• Open Source SDKs:
  • Publish and maintain open-source SDKs generated from OpenAPI specifications.
  • Encourage community contributions and provide timely support.
  • Actively engage with the open source community, and follow W3C specifications.

Automation & Integration

• Jira-GitHub Integration:
  • Automate Jira ticket status transitions based on Git actions (e.g., commit, pull request).
  • Link commits and pull requests to corresponding Jira tickets.
  • When a pull request is merged, automatically transition the related Jira ticket to “Resolved” or “Done.”
  • When a branch is created that matches a Jira ticket number, automatically transition the ticket to “In Progress”.
• OpenAPI-Generator Automation:
  • Automate the generation of API client libraries from OpenAPI specifications.
  • Integrate this process into the CI/CD pipeline.
  • Automate the publication of these libraries to package repositories.
• Monitoring & Feedback:
  • Implement monitoring dashboards to track build, deployment, and application performance.
  • Use Jira dashboards to monitor sprint progress and identify bottlenecks.
  • Utilize automated feedback loops to identify areas for process improvement.

Knowledge Management (Confluence)

• Centralized Documentation:
  • Maintain comprehensive documentation in Confluence, including API specifications, SDK usage guides, and troubleshooting information.
  • Create a knowledge base for support requests and common issues.
  • Document all processes and procedures.
• Collaboration & Knowledge Sharing:
  • Encourage cross-team collaboration and knowledge sharing through Confluence.
  • Use Confluence for meeting notes, project plans, and architectural decisions.

Process Improvement & Feedback

• Regular Retrospectives:
  • Conduct regular sprint retrospectives to identify areas for improvement.
  • Use Jira data and feedback to inform process changes.
• Continuous Monitoring:
  • Monitor key metrics related to build, deployment, and support ticket resolution.
  • Use dashboards to visualize data and identify trends.
• Feedback Loops:
  • Establish feedback loops with integration partners and the open-source community.
  • Use feedback to improve API design, SDK functionality, and documentation.

Benefits

• Reduced Developer Overhead: Automation of routine tasks frees up developers to focus on core product development.
• Accelerated Development Cycles: CI/CD pipelines and trunk-based development enable faster releases.
• Improved Product Quality: Automated testing and code reviews ensure high-quality code.
• Enhanced Collaboration: Centralized tooling and clear processes facilitate collaboration across teams.
• Increased Community Adoption: Open-source SDKs and active community engagement drive adoption.
• Data-Driven Decision Making: Monitoring and feedback loops provide actionable insights.
• Clear and Measurable ROI: Consolidation of tools reduces costs and increases efficiency.
• Industry Leadership: Contributing to open specifications and open sourcing tools positions the company as an industry leader.