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Project Management Tools in DevOps

$249.00
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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Course access is prepared after purchase and delivered via email
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This curriculum spans the design and operational governance of a full DevOps toolchain, comparable in scope to a multi-phase internal capability program that integrates project management tools across CI/CD, IaC, security, and collaboration workflows in a large-scale engineering organisation.

Module 1: Toolchain Integration and Ecosystem Design

  • Select and configure a central artifact repository (e.g., Nexus or Artifactory) to enforce versioning and access control across CI/CD pipelines.
  • Integrate Jira with GitHub Actions or GitLab CI to automatically transition issues upon merge to main branch.
  • Design a shared configuration management database (CMDB) schema that synchronizes with both Ansible and Terraform state files.
  • Implement webhook security using HMAC signatures and IP allow-listing between Jenkins and Bitbucket Server.
  • Establish naming conventions and tagging standards for tools across environments to ensure auditability and tool interoperability.
  • Resolve dependency conflicts between Python-based automation scripts and Node.js tooling in shared build agents.

Module 2: Pipeline Orchestration and Workflow Automation

  • Define conditional pipeline stages in Azure DevOps to skip integration tests for documentation-only pull requests.
  • Implement parallel test execution across multiple Selenium grid nodes and aggregate results in Jenkins.
  • Configure Argo Workflows to manage Kubernetes-native CI/CD with rollback triggers based on Prometheus metrics.
  • Enforce pipeline immutability by signing pipeline definitions with Sigstore in a regulated financial environment.
  • Manage pipeline secrets using HashiCorp Vault with short-lived database credentials for integration tests.
  • Optimize pipeline execution time by caching Maven dependencies in S3 with lifecycle policies and cross-region replication.

Module 3: Infrastructure as Code (IaC) Governance

  • Enforce Terraform module version pinning and restrict public registry usage via private registry mirroring in TFE.
  • Implement pre-commit hooks with tflint and tfsec to block non-compliant IaC changes in pull requests.
  • Structure Terraform state files with remote backends and per-environment workspaces to prevent drift.
  • Design role-based access control (RBAC) policies in AWS to limit Terraform apply permissions to change sets only.
  • Integrate Open Policy Agent (OPA) with Pulumi to validate Kubernetes manifests against organizational security baselines.
  • Automate drift detection by scheduling periodic Terraform plan executions and publishing diffs to Slack.

Module 4: Release Management and Deployment Strategies

  • Configure blue-green deployments in Spinnaker with automated traffic shifting and health check validation.
  • Implement canary analysis using Kayenta with Datadog metrics to determine release success thresholds.
  • Manage feature flags in LaunchDarkly with automated cleanup scripts for deprecated toggles.
  • Coordinate multi-region deployments using GitOps with FluxCD and Kustomize overlays.
  • Enforce deployment freeze windows in Jenkins using build access controls during compliance audit periods.
  • Design rollback procedures that include database migration reversal scripts tested in staging.

Module 5: Observability and Feedback Loops

  • Correlate CI/CD pipeline IDs with application logs in Datadog using custom trace tags.
  • Configure Prometheus alerting rules to trigger pipeline diagnostics when error rates exceed SLOs.
  • Integrate SonarQube quality gates into pull request workflows with baseline comparison against main branch.
  • Stream deployment events from ArgoCD to Elasticsearch for audit trail analysis and incident correlation.
  • Map user-reported issues in ServiceNow to failed builds using custom API integrations and root cause tagging.
  • Generate automated post-deployment reports with Grafana dashboards embedded in Microsoft Teams channels.

Module 6: Security and Compliance Automation

  • Scan container images in Harbor with Clair and block promotion if critical CVEs are detected.
  • Embed Snyk into GitHub Actions to perform dependency scanning and create pull requests for remediation.
  • Enforce signed commits and signed tags in Git using GPG with organizational key management policies.
  • Integrate Prisma Cloud with Jenkins to evaluate runtime risks before production deployment.
  • Automate compliance evidence collection by exporting pipeline audit logs to a SIEM with timestamp alignment.
  • Implement just-in-time access for production deployments using Teleport and time-bound approvals.

Module 7: Team Collaboration and Workflow Scaling

  • Configure Jira Service Management workflows to require peer review and change advisory board (CAB) approval for high-risk deployments.
  • Standardize pull request templates across repositories to include test evidence and rollback instructions.
  • Implement Slack-based deployment notifications with interactive buttons for manual approval steps.
  • Scale shared Jenkins controllers using ephemeral agents on Kubernetes with resource quotas and node affinity.
  • Resolve merge conflicts in monorepos using automated rebasing with policy enforcement on commit history.
  • Optimize collaboration across time zones by scheduling pipeline maintenance windows and freeze periods in UTC.

Module 8: Technical Debt and Tool Lifecycle Management

  • Plan migration from legacy Bamboo servers to GitLab CI with parallel run validation and cutover checklists.
  • Retire deprecated Ansible roles by analyzing usage metrics and coordinating with application teams.
  • Measure toolchain technical debt using cycle time, failure rate, and rework metrics from version control.
  • Establish version support windows for Node.js and Python runtimes used in shared CI agents.
  • Archive inactive projects in GitLab with automated data retention policies and backup verification.
  • Conduct quarterly toolchain reviews to decommission underutilized services and renegotiate SaaS licensing.