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Next Release in DevOps

$249.00
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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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This curriculum spans the technical and procedural rigor of a multi-workshop DevOps transformation program, addressing the same pipeline, security, and operational challenges encountered in large-scale platform engineering initiatives and cross-team advisory engagements.

Module 1: Strategic Pipeline Design and Toolchain Integration

  • Selecting between monolithic and distributed pipeline architectures based on team autonomy, deployment frequency, and failure blast radius.
  • Integrating third-party security scanning tools into CI workflows without introducing unacceptable build latency.
  • Standardizing pipeline configuration formats (e.g., YAML vs. code-based DSLs) across heterogeneous application portfolios.
  • Managing credential propagation across pipeline stages while adhering to zero-standing-access principles.
  • Designing idempotent pipeline execution to support safe re-runs in production promotion workflows.
  • Implementing pipeline observability with structured logging and metrics collection for audit and performance analysis.

Module 2: Infrastructure as Code Governance at Scale

  • Enforcing module version pinning in Terraform configurations to balance consistency and upgrade velocity.
  • Implementing policy-as-code checks (e.g., using Open Policy Agent or HashiCorp Sentinel) before infrastructure apply operations.
  • Managing state file locking and access controls in multi-team environments with shared cloud accounts.
  • Structuring IaC repositories to support environment promotion (dev → staging → prod) without configuration drift.
  • Handling secrets injection into IaC workflows using external secret managers instead of environment variables.
  • Designing rollback strategies for failed infrastructure deployments that preserve data integrity.

Module 3: Secure Software Supply Chain Implementation

  • Requiring signed artifacts and provenance verification in CI/CD pipelines using Sigstore or similar frameworks.
  • Integrating SCA (Software Composition Analysis) tools into pull request validation with defined policy thresholds.
  • Implementing build reproducibility checks for critical services to detect tampering or environmental drift.
  • Enforcing least-privilege access for build agents to prevent lateral movement during compromise.
  • Configuring trusted registries and image admission controllers in Kubernetes environments.
  • Establishing SBOM (Software Bill of Materials) generation and retention policies for compliance and incident response.

Module 4: Production-Grade Observability and Feedback Loops

  • Instrumenting distributed systems with context-propagated tracing IDs across service boundaries.
  • Defining SLOs and error budgets that directly influence release approval workflows.
  • Correlating deployment markers with metric anomalies to reduce mean time to detection.
  • Configuring log sampling strategies to manage volume and cost without losing diagnostic fidelity.
  • Implementing synthetic transactions to validate critical user journeys post-deployment.
  • Routing observability data to separate secure indices for compliance and forensic analysis.

Module 5: Automated Testing Strategy for Continuous Delivery

  • Structuring test suites to minimize flakiness in headless browser and API integration tests.
  • Allocating test execution across parallel runners based on historical failure rates and duration.
  • Managing test data provisioning in ephemeral environments using anonymized production snapshots.
  • Implementing contract testing between microservices to decouple team release cycles.
  • Using canary analysis to validate performance characteristics against baseline benchmarks.
  • Enforcing test coverage thresholds as merge-blocking gates only for critical security and compliance paths.

Module 6: Release Orchestration and Deployment Topologies

  • Selecting between blue-green, canary, and rolling deployments based on rollback requirements and traffic patterns.
  • Automating feature flag state changes in coordination with deployment milestones.
  • Coordinating database schema migrations with application version rollouts to maintain backward compatibility.
  • Implementing deployment freeze windows and approvals for regulated workloads.
  • Designing rollback triggers based on health checks, error rates, and business KPIs.
  • Orchestrating cross-region deployments with dependency resolution for globally distributed systems.

Module 7: Platform Engineering and Internal Developer Portal Design

  • Defining standardized templates for new service onboarding that enforce security and observability baselines.
  • Integrating service catalogs with identity providers to automate access provisioning.
  • Implementing self-service environments with quota enforcement and auto-deletion policies.
  • Exposing deployment and incident data to developers via unified dashboards without exposing raw credentials.
  • Versioning and deprecating internal platform APIs with backward compatibility guarantees.
  • Measuring developer platform effectiveness through lead time and deployment success rate metrics.

Module 8: Incident Response and Postmortem Integration

  • Automatically triggering pipeline halts based on active incident severity levels.
  • Enriching incident tickets with recent deployment metadata and changelogs.
  • Requiring postmortem action items to be tracked in version-controlled runbooks.
  • Conducting blameless retrospectives that feed directly into process improvement workflows.
  • Integrating rollback procedures into incident playbooks with pre-authorized approval paths.
  • Using incident data to refine monitoring thresholds and deployment gating criteria.