Description

This curriculum spans the equivalent of a multi-workshop operational integration program, addressing the same alignment challenges seen when reconfiguring cross-functional teams, CI/CD systems, and compliance controls across large-scale DevOps transformations.

Module 1: Integrating Scrum Frameworks with DevOps Pipelines

Align sprint planning cycles with CI/CD release windows to avoid deployment conflicts during hardening or stabilization phases.
Define clear Definition of Done (DoD) criteria that include automated testing, infrastructure provisioning, and security scanning outcomes.
Coordinate Scrum team velocity metrics with deployment frequency and lead time for changes to assess delivery health.
Resolve misalignment between product backlog priorities and infrastructure dependencies by embedding platform teams in refinement sessions.
Implement sprint-based feature flag management to decouple deployment from release while maintaining production stability.
Adapt backlog grooming to include non-functional requirements such as observability, scalability, and rollback readiness.

Module 2: Cross-Functional Team Design and Accountability

Assign shared ownership of production incidents between development and operations roles within the Scrum team to eliminate siloed accountability.
Structure team composition to include SREs or platform engineers as full participants in daily stand-ups and retrospectives.
Balance feature development capacity with operational toil by time-boxing a percentage of each sprint for platform improvements.
Negotiate team-level SLIs and error budgets that inform sprint capacity and guide trade-offs between new work and reliability.
Implement blameless postmortems as formal backlog inputs, ensuring action items are prioritized and tracked like user stories.
Define escalation paths for production issues that respect sprint focus while enabling rapid response without disrupting flow.

Module 3: Continuous Integration and Automated Testing in Sprints

Enforce mandatory test suite execution within 10 minutes of code commit to maintain feedback velocity during sprint development.
Integrate static code analysis and dependency scanning into the pull request pipeline to prevent technical debt accumulation.
Require test coverage thresholds to be met before merging, with thresholds adjusted based on component criticality.
Manage flaky tests by quarantining them and assigning ownership within the sprint to prevent erosion of pipeline trust.
Design parallel test execution strategies to reduce feedback loop duration without sacrificing coverage depth.
Use test environment provisioning scripts as version-controlled artifacts to ensure consistency across sprint iterations.

Module 4: Deployment Automation and Release Management

Implement blue-green or canary deployment patterns within sprint release plans to minimize production risk.
Define automated rollback triggers based on health checks and error rate thresholds in production monitoring systems.
Coordinate deployment schedules with sprint review timing to enable stakeholder validation on production-equivalent environments.
Restrict manual intervention in deployment pipelines except for documented override scenarios with audit logging.
Version release manifests alongside application code to ensure reproducibility across sprint cycles.
Integrate deployment status into sprint burndown charts to reflect actual delivery progress versus planned scope.

Module 5: Monitoring, Feedback Loops, and Backlog Prioritization

Surface production incident data in sprint retrospectives to drive backlog refinement and technical debt reduction.
Map user behavior telemetry to specific backlog items to validate business impact post-release.
Configure alerting thresholds to trigger backlog item creation when error budgets are consumed beyond agreed limits.
Use synthetic transactions to simulate user journeys and detect regressions before end-of-sprint demos.
Integrate customer support ticket trends into product backlog triage to prioritize UX or reliability improvements.
Establish feedback latency metrics from production to planning to assess the responsiveness of the Scrum process.

Module 6: Infrastructure as Code and Environment Management

Treat infrastructure code as first-class citizen in sprint planning, requiring peer review and automated validation.
Enforce environment parity by using identical Terraform or Pulumi modules across development, staging, and production.
Allocate sprint capacity for refactoring legacy environments to match IaC standards without disrupting delivery goals.
Implement drift detection mechanisms to trigger alerts when production deviates from declared IaC state.
Version lock infrastructure dependencies to prevent unexpected changes during active sprints.
Automate environment provisioning for QA and UAT to align with sprint start dates and reduce onboarding delays.

Module 7: Scaling Scrum and DevOps Across Multiple Teams

Coordinate PI planning events with synchronized sprint boundaries to align cross-team dependencies and integration points.
Establish shared artifact repositories with access controls to prevent version conflicts across teams.
Design API contracts with versioning and deprecation policies agreed upon during backlog refinement sessions.
Implement centralized logging and monitoring with team-specific dashboards to maintain visibility without duplication.
Resolve integration bottlenecks by designating integration sprints or allocating dedicated integration team members.
Negotiate conflicting deployment schedules using a shared deployment calendar managed through DevOps tooling.

Module 8: Governance, Compliance, and Audit Readiness

Embed compliance checks into CI/CD pipelines to enforce policy-as-code for regulatory requirements like GDPR or HIPAA.
Generate audit trails for code changes, approvals, and deployments as immutable records tied to sprint deliverables.
Conduct sprint-level access reviews to ensure least-privilege permissions are maintained in cloud and pipeline systems.
Document architectural decisions in ADRs that are versioned and referenced in sprint retrospectives for traceability.
Integrate security scanning tools with Jira to automatically create backlog items for critical vulnerabilities.
Balance agility with control by defining gated environments where manual approvals are required based on risk tier.