Skip to main content

Release management dimension

1 - Reactive

Description

  • The tribe largely operates in an ad-hoc manner, with releases often being painful, unpredictable or unplanned.
  • Tribes often face unforeseen challenges during the release, with occurrence of post-release defects, leading to frequent rollbacks, hotfixes, or emergency patches.
  • The tribe’s approach to releases is reactive rather than proactive.
  • There's no clear ownership or responsibility for the release process.

Improvement focus

  • Document simple release process.
  • Define roles and responsibilities for release management.
  • Identify frequent release failures and their causes.
  • Start formalizing a basic release checklist.

2 - Managed

Description

  • The tribe has established some repeatable, and documented release processes, and there's a designated team or individual responsible for managing releases.
  • While there's a defined schedule, unplanned releases still occur to address critical issues.
  • All open issues are investigated and assigned Severities and Priorities before any release.
  • Deployment is largely manual.

Improvement focus

  • Standardize the release process across all teams.
  • Improve the release checklists and guidelines.
  • Implement basic automated tests for pre-release validation.
  • Implement basic automation tools to help in release deployment.
  • Conduct post-release retrospectives to identify areas for improvement.

3 - Defined

Description

  • The release process is well-documented based on the existing requirements and templates provided by the Delivery Chapterand consistently followed.
  • Alignment with Organisational Change Procedures: Ensures the release process adheres to established organizational protocols for managing changes, maintaining consistency and strategic alignment.
  • Releases occur at regular intervals and rarely deviate from the schedule.
  • Automation is employed for most release tasks, reducing manual errors.
  • Feedback loops are in place, ensuring lessons from past releases are incorporated.
  • The tribe employs techniques like feature flags for smoother rollouts.
  • Automated rollback mechanisms and disaster recovery processes are in place and constantly validated, ensuring swift recovery in case of issues.
  • Stakeholders are regularly informed about upcoming releases, and there's a structured feedback loop post-release.
  • Deployments are semi-automated and may still require manual oversight.
  • Every release undergoes a rigorous and evidence-based validation process, including guided User Acceptance Testing (UAT), ensuring high-quality and reliable performance.
  • End-to-End Evidence-Based Approach: each release cycle, from requirements to delivery, is thoroughly evidence-driven.
  • Releases are well documented, providing clear documentation, and usage guidelines for the end users.
  • There are clear practices for identifying and managing risks during the release process.

Improvement focus

  • Ensure rollback strategies and disaster recovery processes are in place.
  • Focus on refining automation and integrating more robust testing into the release pipeline.
  • Implement advanced deployment strategies like blue-green or canary deployments.
  • Engage in root cause analysis for any release failures.

4 - Measured

Description

  • Releases are not just predictable but also optimized for maximum efficiency and minimal disruption.
  • Metrics related to release frequency, success rates, defects, time taken, and rollback incidents are actively monitored and analyzed.
  • The release process is data-driven, with improvements based on feedback from each release.
  • Automated testing, continuous integration, and continuous deployment (CI/CD) ensure high-quality releases.
  • Rollbacks, when needed, are efficient and seamless.
  • A disaster recovery procedure is established and regularly validated.
  • Advanced practices, such as blue-green deployments, canary releases, or feature toggling, are used to minimize risks.
  • Deployments are mostly automated, optimized for speed, utilizing parallel processes and efficient resources.
  • Deployment to environments like staging is predictable and consistent.

Improvement focus

  • Focus on refining automation in the release pipeline.

5 - Optimized

Description

  • Release management is highly efficient, streamlined, and optimized.
  • Release management is continuously improved, incorporating lessons learned and using data-driven feedback to drive the release strategies.
  • Automation is extensively employed, from integration, testing, to deployment.
  • Release on Production on demand.
  • Advanced analytics are utilized to monitor the health and impact of releases on end-users.
  • Releases can be done with zero or minimal downtime (blue-green deployments, canary releases).

Improvement focus

  • Ensure knowledge sharing across teams to elevate the entire tribe's release capabilities.

Guiding questions

  1. Alignment with Organizational Objectives: How does our release management process align with the broader organizational goals and objectives? Are we effectively balancing speed, quality, and functionality in our releases?
  2. Validation Effectiveness: To what extent are our release management processes automated, and how efficient are they in reducing manual errors and accelerating delivery times?
  3. Risk Management: How do we identify, assess, and mitigate risks associated with each release?
  4. Stakeholder Communication: How effectively do we communicate with stakeholders (including clients, team members, and management) throughout the release process?
  5. Process Efficiency: How do we measure the success of our release management process, and what mechanisms do we have in place for continuous improvement and learning from past releases?
  6. Process Evaluation: What key performance indicators (KPIs) and metrics do we use to assess the effectiveness of our release management? How do we measure the impact of our release management practices on overall software quality and business outcomes?
  7. Adaptability to Change: How adaptable and resilient are our release management practices in the face of changing requirements, emerging technologies, and unexpected challenges?
  8. Quality Assurance: How do we systematically track and ensure that each functionality, from its initial requirement through development, testing, and deployment, is effectively aligned with and fulfills the intended business objectives and user needs, and what mechanisms are in place to review and learn from each delivery cycle?