What does the Agile Implementation in DevOps course cover?
Agile Implementation in DevOps is covered here in 8 modules: Establishing Agile-DevOps Alignment, Continuous Integration Pipeline Design, Automated Testing Strategy Integration and 5 more. The outline lists 48 specific topics, opening with define shared success metrics between development and operations teams to align sprint goals with system reliability targets.
How do you approach Agile Implementation in DevOps step by step?
The work is sequenced in 8 stages. It starts with Establishing Agile-DevOps Alignment, moves through Continuous Integration Pipeline Design and Automated Testing Strategy Integration, and ends at Scaling Agile-DevOps Across the Enterprise. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Agile Implementation in DevOps course?
Module 1 is Establishing Agile-DevOps Alignment. It works through define shared success metrics between development and operations teams to align sprint goals with system reliability targets., select integration points between Scrum ceremonies and DevOps workflows, such as incorporating deployment readiness checks into sprint planning., negotiate team-level autonomy versus enterprise standardization for toolchains, balancing innovation speed with compliance requirements. and 3 more.
How is the Agile Implementation in DevOps course delivered?
The Agile Implementation in DevOps course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Agile Implementation in DevOps course cost?
The Agile Implementation in DevOps course is $250 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Agile DevOps Toolkit, Agile Methodologies in DevOps, Agile Methodology in DevOps, Agile Design in DevOps.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the design and governance of integrated Agile-DevOps workflows across development, operations, and security functions, comparable in scope to a multi-workshop organisational transformation program addressing pipeline engineering, cross-team coordination, and enterprise-scale automation.
Module 1: Establishing Agile-DevOps Alignment
- Define shared success metrics between development and operations teams to align sprint goals with system reliability targets.
- Select integration points between Scrum ceremonies and DevOps workflows, such as incorporating deployment readiness checks into sprint planning.
- Negotiate team-level autonomy versus enterprise standardization for toolchains, balancing innovation speed with compliance requirements.
- Implement cross-functional team charters that formally assign joint ownership of code deployment and incident response.
- Resolve conflict between release predictability (favored by operations) and feature velocity (favored by development) through service-level agreement (SLA) modeling.
- Integrate product backlog items with infrastructure-as-code (IaC) tasks to ensure environment provisioning is treated as a first-class deliverable.
Module 2: Continuous Integration Pipeline Design
- Configure branching strategies (e.g., trunk-based development) that minimize merge conflicts while supporting parallel feature development.
- Enforce pre-merge static code analysis and unit test coverage thresholds in the CI pipeline to prevent technical debt accumulation.
- Manage pipeline concurrency limits to prevent resource exhaustion during peak development hours without delaying feedback cycles.
- Implement artifact versioning and immutability rules to ensure traceability from build output to source control commits.
- Integrate security scanning tools into the CI phase without introducing unacceptable latency to developer feedback loops.
- Design pipeline failure escalation paths that distinguish between transient infrastructure issues and code-level defects.
Module 3: Automated Testing Strategy Integration
- Distribute test execution across pipeline stages to optimize cost and speed, running unit tests on every commit and end-to-end tests on staging deploys.
- Manage test data provisioning in pipeline environments to ensure consistency while complying with data privacy regulations.
- Address flaky test management by implementing quarantine protocols and failure classification to prevent false negatives from blocking releases.
- Balance test coverage investment between critical user journeys and edge cases based on production incident history.
- Integrate contract testing between microservices to detect interface incompatibilities before deployment to shared environments.
- Enforce test environment parity with production through configuration management and infrastructure-as-code templates.
Module 4: Continuous Delivery and Deployment Governance
- Define deployment approval workflows that incorporate peer review, automated gates, and compliance sign-offs without creating bottlenecks.
- Implement canary release patterns with automated rollback triggers based on real-time monitoring thresholds.
- Manage feature flag lifecycle to prevent technical debt from stale toggles and ensure flags are removed after feature stabilization.
- Enforce deployment freeze policies during critical business periods while maintaining emergency patch pathways.
- Coordinate multi-region deployment sequencing to minimize customer impact during global rollouts.
- Document deployment runbooks in executable format to enable self-service by on-call engineers during incidents.
Module 5: Monitoring, Observability, and Feedback Loops
- Instrument applications with structured logging and distributed tracing to enable root cause analysis across service boundaries.
- Define service-level objectives (SLOs) and error budgets that inform release pacing and incident prioritization.
- Integrate production telemetry into sprint retrospectives to drive backlog refinement based on real user behavior.
- Configure alerting thresholds to minimize noise while ensuring critical system degradation is detected promptly.
- Correlate deployment events with performance metrics to identify regression patterns across releases.
- Implement synthetic transaction monitoring to validate critical workflows in pre-production environments.
Module 6: Security and Compliance in Agile-DevOps Workflows
- Shift security policy enforcement left by embedding compliance checks into merge request validation pipelines.
- Manage secrets rotation and access controls in CI/CD systems to prevent credential leakage across environments.
- Conduct automated vulnerability scanning of container images and dependencies with policy-based allow/deny rules.
- Balance audit trail completeness with operational efficiency by defining log retention and access protocols.
- Integrate third-party risk assessments into supplier onboarding processes for external toolchain components.
- Implement role-based access controls (RBAC) in deployment pipelines to enforce separation of duties without impeding velocity.
Module 7: Organizational Change and Team Enablement
- Redesign performance evaluation criteria to reward collaboration, deployment frequency, and mean time to recovery (MTTR).
- Facilitate blameless postmortems after incidents to drive systemic improvements rather than individual accountability.
- Structure cross-training programs to reduce silos between development, operations, and security roles.
- Manage resistance to automation by involving senior engineers in toolchain design decisions.
- Scale Agile-DevOps practices across distributed teams using standardized templates and centralized observability dashboards.
- Iterate on team topology based on Conway’s Law, aligning service ownership with organizational boundaries.
Module 8: Scaling Agile-DevOps Across the Enterprise
- Implement platform teams to provide self-service infrastructure tooling and reduce cognitive load on product teams.
- Standardize API contracts and service mesh configurations to enable interoperability across independently operated services.
- Manage technical debt accumulation across portfolios by tracking code health metrics in investment planning cycles.
- Coordinate release trains across multiple teams using dependency mapping and shared environment scheduling.
- Govern cloud spending by linking resource allocation to business unit budgets and cost allocation tags.
- Adapt Agile-DevOps practices for legacy system modernization, including brownfield integration and strangler pattern implementation.