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Sprint Backlog in DevOps

Sprint Backlog in DevOps

$250.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Sprint Backlog in DevOps course cover?

Sprint Backlog in DevOps is covered here in 8 modules: Defining the Sprint Backlog in a DevOps Context, Backlog Refinement with Cross-Functional Teams, Integrating CI/CD Pipeline Requirements into Backlog Items and 5 more. The outline lists 48 specific topics, opening with selecting which backlog items to include based on deployment frequency, CI/CD pipeline capacity, and production release windows.

How do you approach Sprint Backlog in DevOps step by step?

The work is sequenced in 8 stages. It starts with Defining the Sprint Backlog in a DevOps Context, moves through Backlog Refinement with Cross-Functional Teams and Integrating CI/CD Pipeline Requirements into Backlog Items, and ends at Measuring and Improving Backlog Effectiveness in DevOps. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Sprint Backlog in DevOps course?

Module 1 is Defining the Sprint Backlog in a DevOps Context. It works through selecting which backlog items to include based on deployment frequency, CI/CD pipeline capacity, and production release windows., aligning sprint goals with infrastructure readiness, such as ensuring staging environments are provisioned before development begins., deciding whether to include infrastructure-as-code (IaC) tasks in the sprint backlog or manage them in.

How is the Sprint Backlog in DevOps course delivered?

The Sprint Backlog 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 Sprint Backlog in DevOps course cost?

The Sprint Backlog in DevOps course is $248 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: Sprint Backlog in Oracle Fusion Dataset, Sprint Backlog in DevSecOps Strategy Dataset, Sprint Backlog and Agile Contracts Kit, Sprint Backlog and Agile Methodologies Kit.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the breadth of a multi-workshop DevOps transformation program, addressing the same backlog integration challenges seen when aligning development, operations, and compliance teams across CI/CD pipelines and production environments.

Module 1: Defining the Sprint Backlog in a DevOps Context

  • Selecting which backlog items to include based on deployment frequency, CI/CD pipeline capacity, and production release windows.
  • Aligning sprint goals with infrastructure readiness, such as ensuring staging environments are provisioned before development begins.
  • Deciding whether to include infrastructure-as-code (IaC) tasks in the sprint backlog or manage them in parallel workflows.
  • Integrating security and compliance validation tasks into backlog items to prevent downstream deployment gate failures.
  • Determining the level of detail required in backlog items to support both development and operations handoffs.
  • Coordinating with product owners to adjust scope when operational constraints (e.g., maintenance windows) limit deployable increments.

Module 2: Backlog Refinement with Cross-Functional Teams

  • Facilitating refinement sessions that include developers, testers, SREs, and security engineers to define acceptance criteria.
  • Breaking down user stories to include automated testing, monitoring, and rollback requirements as completion criteria.
  • Estimating effort for tasks that involve environment provisioning, configuration management, and pipeline modifications.
  • Identifying dependencies on external systems or third-party APIs that require coordination outside the sprint timeline.
  • Documenting assumptions about infrastructure behavior (e.g., network latency, service availability) that impact implementation.
  • Tagging backlog items with operational metadata such as deployment risk level, rollback complexity, and monitoring needs.

Module 3: Integrating CI/CD Pipeline Requirements into Backlog Items

  • Requiring pipeline configuration updates as part of user story implementation, not as separate operations tasks.
  • Ensuring every backlog item includes a definition of "pipeline-ready" that covers build, test, and artifact publication.
  • Assigning ownership for writing and maintaining pipeline scripts within development teams instead of centralizing control.
  • Managing feature flags as backlog items when continuous delivery requires decoupling deployment from release.
  • Handling pipeline failures by rolling back code changes and updating the backlog to address root causes.
  • Adjusting sprint capacity to account for pipeline maintenance, especially when introducing new deployment targets.

Module 4: Managing Technical Debt and Operational Overhead in the Sprint

  • Allocating sprint capacity for refactoring legacy deployment scripts that impede pipeline reliability.
  • Tracking technical debt related to environment drift and scheduling backlog items to remediate configuration gaps.
  • Deciding when to defer non-critical monitoring enhancements versus treating them as mandatory for production readiness.
  • Including database schema migration testing in the sprint backlog when changes affect deployment rollback procedures.
  • Assessing the operational cost of temporary workarounds and documenting them as future backlog items.
  • Requiring post-deployment reviews to identify recurring operational issues and convert them into backlog improvements.

Module 5: Monitoring, Feedback, and Backlog Adaptation

  • Using production telemetry to generate new backlog items for performance optimization or error reduction.
  • Integrating monitoring dashboards into sprint reviews so teams assess operational health alongside feature completion.
  • Adjusting the backlog mid-sprint when incident data reveals systemic issues requiring immediate attention.
  • Defining feedback loops from observability tools (e.g., logs, traces, metrics) to trigger automated backlog updates.
  • Assigning ownership for creating alerts and SLOs as part of each feature's implementation, not as afterthoughts.
  • Using mean time to recovery (MTTR) data to prioritize backlog items that improve system resilience.

Module 6: Governance, Compliance, and Audit Readiness in Sprint Execution

  • Embedding audit trail generation into backlog items to ensure all deployments are traceable to specific commits and approvals.
  • Requiring compliance checks (e.g., license scanning, policy enforcement) to pass before items are marked complete.
  • Managing access control changes as part of user story implementation when new services require role updates.
  • Documenting sprint activities in a way that supports regulatory audits without disrupting development flow.
  • Handling regulated environments by scheduling compliance validation tasks within the sprint, not after.
  • Designing rollback procedures that meet data retention and integrity requirements for regulated workloads.

Module 7: Scaling Sprint Backlogs Across Teams and Pipelines

  • Coordinating backlog dependencies across teams when shared services or APIs are modified during a sprint.
  • Using feature branches versus trunk-based development based on team size, release cadence, and merge risk.
  • Implementing portfolio-level backlog management to align multiple team sprints with enterprise DevOps objectives.
  • Standardizing definition of done across teams to ensure consistent deployment and operational readiness.
  • Managing environment contention by scheduling backlog items that require exclusive access to shared staging systems.
  • Resolving version conflicts in shared libraries by synchronizing sprint planning across dependent teams.

Module 8: Measuring and Improving Backlog Effectiveness in DevOps

  • Tracking deployment frequency and lead time for changes as backlog health indicators, not just team velocity.
  • Analyzing sprint backlog churn to identify poor refinement practices or unstable requirements.
  • Using escaped defects data to refine acceptance criteria and improve backlog item completeness.
  • Measuring the percentage of backlog items that include automated testing and infrastructure changes.
  • Reviewing cycle time for operational tasks (e.g., environment setup) to identify bottlenecks in planning.
  • Conducting retrospective analyses on failed deployments to adjust future backlog composition and prioritization.
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