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Source Code in DevOps

$250.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
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 Source Code in DevOps course cover?

Source Code in DevOps is covered here in 8 modules: Integrating Source Control into DevOps Pipelines, Branching Strategies and Release Orchestration, Code Review and Collaborative Governance and 5 more. The outline lists 48 specific topics, opening with enforce branch protection rules for mainline branches, including mandatory code reviews and status checks before merge.

How do you approach Source Code in DevOps step by step?

The work is sequenced in 8 stages. It starts with Integrating Source Control into DevOps Pipelines, moves through Branching Strategies and Release Orchestration and Code Review and Collaborative Governance, and ends at Performance and Scalability of Source Systems. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Source Code in DevOps course?

Module 1 is Integrating Source Control into DevOps Pipelines. It works through enforce branch protection rules for mainline branches, including mandatory code reviews and status checks before merge., configure repository-level webhooks to trigger CI pipelines on push and pull request events across distributed teams., implement sparse checkout strategies in pipelines to reduce build times when repositories contain multiple services. and 3 more.

How is the Source Code in DevOps course delivered?

The Source Code 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 Source Code in DevOps course cost?

The Source Code 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: Code Bugs in DevOps, Infrastructure As Code in DevOps, Source Code Management Tools in DevOps, Infrastructure as Code for Cloud DevOps Success.

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

This curriculum spans the design and operational practices found in multi-workshop DevOps transformation programs, addressing the same source code management challenges seen in large-scale internal platform teams and cross-functional engineering organisations.

Module 1: Integrating Source Control into DevOps Pipelines

  • Enforce branch protection rules for mainline branches, including mandatory code reviews and status checks before merge.
  • Configure repository-level webhooks to trigger CI pipelines on push and pull request events across distributed teams.
  • Implement sparse checkout strategies in pipelines to reduce build times when repositories contain multiple services.
  • Standardize .gitignore files across projects to prevent accidental commits of secrets, binaries, or local configurations.
  • Manage repository forks in enterprise environments by defining ownership, sync policies, and contribution workflows.
  • Optimize Git LFS usage for large binary assets while monitoring storage costs and transfer performance across regions.

Module 2: Branching Strategies and Release Orchestration

  • Select between GitFlow, trunk-based development, or GitHub Flow based on release frequency and team autonomy requirements.
  • Define naming conventions for release branches and tags to support automated versioning and auditability.
  • Coordinate feature flag integration with branching models to decouple deployment from release.
  • Implement automated cherry-pick workflows for hotfix propagation across maintenance branches.
  • Enforce time-based branch cleanup policies to reduce technical debt from stale feature branches.
  • Integrate release branch creation into CI/CD tooling to synchronize versioning across microservices.

Module 3: Code Review and Collaborative Governance

  • Define minimum reviewer requirements based on code ownership and file-level sensitivity (e.g., security, compliance).
  • Integrate static analysis tools into pull request checks to block merges on critical linting or vulnerability findings.
  • Configure automated assignment of reviewers using CODEOWNERS or equivalent files in monorepos.
  • Enforce sign-off requirements for regulated workloads (e.g., SOC 2, HIPAA) within pull request metadata.
  • Limit merge permissions to specific roles while allowing broader commenting and review access.
  • Archive historical review data for compliance audits, including inline comments and approval timestamps.

Module 4: Secrets Management and Code Security

  • Implement pre-commit hooks to scan for credential patterns and block commits containing secrets.
  • Integrate secret scanning tools (e.g., GitGuardian, TruffleHog) into CI pipelines with policy-based alerting.
  • Configure repository-level access controls to restrict read access for repositories containing sensitive logic.
  • Rotate and invalidate credentials immediately upon detection of exposure in version history.
  • Enforce encryption of configuration files using tools like SOPS with key management via cloud KMS.
  • Conduct periodic audits of commit history to identify and remediate legacy secret leakage.

Module 5: Monorepo vs. Polyrepo Decision Frameworks

  • Evaluate build performance trade-offs when scaling monorepos beyond thousands of services.
  • Implement fine-grained access controls in monorepos to isolate team contributions by directory.
  • Define dependency management strategies for shared libraries in monorepos using internal package registries.
  • Assess CI resource contention when parallel jobs trigger across multiple services in a single repository.
  • Standardize project scaffolding and tooling initialization to reduce onboarding friction in polyrepo setups.
  • Monitor repository sprawl in polyrepo environments to prevent duplication and inconsistent tooling.

Module 6: Auditability, Compliance, and Retention

  • Enable Git object logging and repository activity monitoring to support forensic investigations.
  • Define data retention policies for repositories, including archival and deletion procedures for decommissioned projects.
  • Implement write protection for repositories under legal hold or regulatory review.
  • Generate tamper-evident logs of Git operations using signed commits and audit trail integrations.
  • Map repository ownership to organizational units for compliance reporting and access recertification.
  • Enforce immutable tags for production releases to prevent overwrites during incident response.

Module 7: Toolchain Integration and Platform Standardization

  • Standardize Git CLI and IDE configurations across development teams using editorconfig and tooling profiles.
  • Integrate source control platforms with identity providers using SAML or OIDC for centralized access control.
  • Automate repository provisioning through infrastructure-as-code templates with predefined settings.
  • Enforce consistent commit message formats to support automated changelog generation.
  • Sync repository metadata (e.g., descriptions, topics) with enterprise service catalogs for discoverability.
  • Implement rate limiting and API quotas for automation scripts to prevent platform degradation.

Module 8: Performance and Scalability of Source Systems

  • Optimize Git clone performance using shallow clones and depth-limited operations in CI environments.
  • Deploy Git mirrors or geo-distributed replicas to reduce latency for global development teams.
  • Monitor and manage repository size growth to avoid performance degradation during fetch and push operations.
  • Implement garbage collection schedules on self-hosted Git servers to maintain object store efficiency.
  • Use partial clone and sparse checkout features to limit data transfer for large repositories.
  • Plan capacity and backup strategies for Git hosting platforms based on active repository count and commit volume.