Capabilities in DORA Core Model
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March 28, 25
スライド概要
会社の勉強会で使ったDORA Core ModelのCapabilitiesのまとめ。
Capabilitiesなどの概念に興味を持ってもらうための資料です。
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Capabilities in DORA Core Model
DORA Core Model This model is built by DORA team based on their research They have annually published Accelerate State of DevOps Report This model shows that: i. Technical and Cultural Capabilities drive Organizational Performance ii. Better Organizational Performance can lead to Better Organizational Outcomes
DORA Core Model Outcomes indicate whether we are developing EFFECTIVE products Performance indicates whether we are developing products EFFECTIVELY Capabilities indicate clues to improve our performance
Improvement Cycle with DORA Core Model 1. Measure "Performance" (Four Key Metrics) 2. Decide which "Capabilities" should be improved 3. Implement the actions to improve the "Capabilities" 4. Measure "Performance" again 5. Repeat the cycle
Capabilities 18 capabilities are found in DORA Core Model Are grouped into 3 categories: Climate for Learning Fast Flow Fast Feedback
Climate for Learning is the atmosphere and the environment that foster the culture of continuous improvement and knowledge sharing Capabilities 1. Code Maintainability 2. Documentation Quality 3. Empowering Teams To Choose Tools 4. Generative Cultures
Example: Team Without Climate for Learning Common symptoms: You have no reliable documents. Documentation is outdated or non-existent Knowledge is siloed with individual team members New team members take months to become productive Same mistakes happen repeatedly Resistance to trying new things and then they give up improvement Code becomes increasingly difficult to maintain High stress during deployments or incidents Blame culture over learning from failures
Fast Flow is a collection of approaches that enables teams to achieve extreme focus and productivity Capabilities 1. Continuous Delivery 2. Database Change Management 3. Deployment Automation 4. Flexible Infrastructure 5. Loosely Coupled Teams 6. Streamlining Change Approval 7. Version Control 8. Working in Small Batches
- https://dora.dev/capabilities/continuous-delivery/
- https://dora.dev/capabilities/database-change-management/
- https://dora.dev/capabilities/deployment-automation/
- https://dora.dev/capabilities/flexible-infrastructure/
- https://dora.dev/capabilities/loosely-coupled-teams/
- https://dora.dev/capabilities/streamlining-change-approval/
- https://dora.dev/capabilities/version-control/
- https://dora.dev/capabilities/working-in-small-batches/
Example: Team Without Fast Flow Common symptoms: Deployments are manual and error-prone Large batches of changes deployed infrequently, and they miss the opportunity to deliver value to customers Multiple teams need to coordinate for every release Database changes cause incidents frequently Long approval chains delay deployments Teams are blocked waiting for other teams Infrastructure changes require tickets and long wait times
Fast Feedback Ensures that the team receives rapid, actionable insights throughout the entire software delivery lifecycle Capabilities 1. Continuous Integration 2. Monitoring and Observability 3. Resilience Engineering 4. Pervasive security 5. Test Automation 6. Test Data Management
Example: Team Without Fast Feedback Common symptoms: high anxiety and stress due to lack of confidences in tests Production incidents frequently occur and take days to resolve Features take months to reach customers due to lengthy testing and debugging cycles Customers report bugs and performance issues before the team discovers them Engineers spend more time fighting fires than building features Teams waste hours in emergency meetings and blame games after each incident Security vulnerabilities remain for long periods
Takeaway DORA Core Model shows that Technical and Cultural Capabilities drive Organizational Performance & Outcomes There are 18 capabilities that are grouped into 3 categories: Climate for Learning Fast Flow Fast Feedback If you want to know more about the capabilities, please refer to: DORA Core Model DORA Capability Catalog
Thank you for your time Have a nice product development
Appendix
Climate for Learning
Code Maintainability is the ease with which a codebase can be modified, understood, and extended benefits: Faster onboarding of new team members Reduced cognitive load Lower defect rates Quicker feature delivery how to improve: Clear code ownership Consistent coding practices Modular architecture Automated code quality checks Regular refactoring Keeping dependencies up to date
Documentation Quality refers to having clear, up-to-date, and accessible documentation for code, processes, and systems that helps teams work effectively and maintain knowledge benefits: Drives implementation of all technical practices Reduces time spent answering repetitive questions Better collaboration between teams Emcorage more knowledge sharing how to improve: Focus on clarity, findability, and reliability Establish documentation guidelines Engage technical writers and documentation champions Provide technical writing training Maintain active documentation practices
Empowering Teams To Choose Tools refers to giving teams the autonomy to select and use tools that best fit their needs while maintaining necessary governance and security standards benefits: Increased productivity and job satisfaction Better tool adoption and utilization Faster problem-solving Enhanced innovation and experimentation Improved team ownership how to improve: Define clear governance boundaries Create tool selection frameworks Establish security and compliance guidelines Support experimentation periods Provide resources for tool evaluation Foster knowledge sharing about tools
Generative Culture is one of the typologies of organizational cultures in "A typology of organisation culture” benefits: Foster information flow Better trust among people and organizations Enhanced psychological safety Better problem-solving capabilities how to improve: Foster high cooperation across teams Train messengers and welcome bad news and negative feedback Share risks and responsibilities Encourage cross-functional bridging Encourage learning from failures Implement and reward novelty Hold blameless postmortems
Fast Flow
Continuous Delivery is a principle and a practice to release changes of all kinds on demand quickly, safely, and sustainably. benefits: Faster time to market Reduce software risk Improve customer satisfaction Increase agility Lower burnout how to improve: Implement automated testing Establish deployment automation Practice trunk-based development Streamline deployment processes Use infrastructure as code Implement feature flags Establish a rollback mechanism
Database Change Management is the practice to make database changes consistent, reliable, and easy to maintain. benefits: Faster and safer database deployments Reduce unscheduled downtime Better collaboration between teams Improve visibility into database changes Ability to roll back changes safely how to improve: Store database changes as scripts in version control Use database migration tools and frameworks Implement zero-downtime deployment strategies Test changes against production-like data
Deployment Automation is the practice of automating the process of deploying software to testing and production environments with minimal manual intervention. benefits: Reduce deployment risks Faster feedback on software quality Consistent and repeatable deployments Reduce manual errors Improve deployment reliability Faster time to market how to improve: Use the same deployment process for all environments Automate environment configuration Implement deployment testing Decouple deployments between services Design for automation from the start
Flexible Infrastructure is the ability to provision and manage computing resources on-demand with cloud-native practices. benefits: Faster throughput and higher stability Better service availability Enhanced cost visibility and control Faster environment provisioning Greater scalability and elasticity Better resource utilization how to improve: Implement infrastructure as code Enable self-service provisioning Adopt cloud-native architectures Use automated configuration management Establish proper cost monitoring Implement SRE practices
Loosely Coupled Teams is the ability of teams to work independently and make changes without requiring extensive coordination with other teams. benefits: Higher developer productivity Faster and safer deployments Increased team autonomy Better deployment outcomes Improved job satisfaction More experimentation opportunities how to improve: Build cross-functional teams Define clear service contracts Implement service-oriented architecture Enable independent testing and deployment Use versioned APIs
Streamlining Change Approval is the practice of optimizing change management processes to enable fast and safe software delivery while maintaining necessary controls and compliance. benefits: Faster time to production Reduced deployment risks Better compliance management Increased team autonomy Higher software delivery performance More efficient resource utilization how to improve: Implement peer review processes Use automated testing & validation Move approvals closer to development Establish risk-based approval paths Automate security & compliance checks Focus on clear process communication
Version Control is a system to track and manage changes to code, configurations, and other software development artifacts in a controlled and organized way. benefits: Reproducibility of environments Traceability of changes Disaster recovery capability Better auditability Quick response to defects how to improve: Store all code and dependencies Version all configuration files Include infrastructure code Maintain build and deployment scripts Keep test scripts and documentation
Working in Small Batches is a principle and practice of breaking down work into smaller, manageable pieces that can be completed independently and in short timeframes. benefits: Faster feedback on changes Easier problem fixes Increased efficiency Increased motivation with small wins Prevents sunk-cost fallacy Enables rapid learning and validation how to improve: Break features into independent units Make changes negotiable and iterative Keep work small and estimable Ensure changes are testable Use feature toggles and dark launches Small and short projects
Fast Feedback
Continuous Integration is a practice of frequently integrating code changes into a shared repository, with automated builds and tests to detect problems early. benefits: Faster feedback loops Higher deployment frequency More stable systems Higher quality software Reduced integration problems Better team coordination how to improve: Automate build process Create comprehensive test suites Fix broken builds immediately Keep test execution time short Merge to trunk at least daily Use automated notifications
Monitoring and Observability enable the practice of using tools and technical solutions to watch, understand, and actively debug systems. benefits: Faster incident detection Reduced time to restore service Better system understanding Improved debugging capabilities Data-driven decision making Enhanced system reliability how to improve: Implement comprehensive system health monitoring Track customer-facing metrics Implement metrics, logs, and traces Create symptom-based alerts Keep appropriate alerts
Resilience Engineering is the practice of designing and operating systems that can withstand and recover from failures. benefits: Higher system availability Reduced downtime Better user experience Enhanced system reliability Improved team morale how to improve: Implement redundancy and failover mechanisms Use automated monitoring and alerting Test recovery procedures Foster a culture of learning from failures
Pervasive security is the practice of integrating security into all aspects of software development and operations. benefits: Reduced security risks Improved system security Enhanced user trust Better compliance Reduced operational costs how to improve: Integrate security into all phases of the software development lifecycle Use automated security tools Foster a culture of security awareness Implement secure coding practices Regularly review and update security policies
Test Automation is the practice of continuously running automated tests throughout the software delivery lifecycle to validate functionality and get fast feedback on changes. benefits: Faster feedback cycles for developers Improved software stability Lower deployment pain More reliable testing compared to manual Helps developers learn to write testable code how to improve: Continuously curate and improve test suites Build acceptance tests for key user journeys Integrate tests into CI/CD pipelines Pair testers with developers
Test Data Management is the practice of managing data used in testing to ensure tests can validate realistic scenarios while maintaining security and efficiency. benefits: Enables comprehensive test validation Supports realistic testing scenarios Helps reproduce defects effectively Allows testing edge cases Improves test reliability Reduces maintenance costs how to improve: Make adequate test data readily available in automated testing Minimize reliance on test data Isolate test data environments Regularly refresh and maintain test data Mask sensitive production data