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DevOps Practices in DevOps

$249.00
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Course access is prepared after purchase and delivered via email
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 operational rigor of a multi-workshop DevOps transformation program, addressing the same pipeline architecture, compliance controls, and cross-team coordination challenges encountered in large-scale internal platform initiatives.

Module 1: Establishing CI/CD Pipeline Architecture

  • Select version control branching strategies (e.g., trunk-based vs. GitFlow) based on team release velocity and compliance requirements.
  • Integrate build tools (e.g., Maven, Gradle, or Bazel) into the pipeline while managing artifact reproducibility across environments.
  • Configure pipeline triggers (on push, PR, or scheduled) balancing rapid feedback with infrastructure cost and stability.
  • Design parallel and sequential pipeline stages to isolate testing phases and reduce feedback loop duration.
  • Implement pipeline-as-code using Jenkinsfile, GitLab CI YAML, or GitHub Actions to enable versioning and peer review.
  • Enforce pipeline security by managing credential injection through secret managers (e.g., HashiCorp Vault, AWS Secrets Manager).

Module 2: Infrastructure as Code (IaC) Governance

  • Standardize IaC templates (Terraform, CloudFormation, or Pulumi) across teams to reduce configuration drift and improve auditability.
  • Implement policy-as-code using Open Policy Agent or HashiCorp Sentinel to enforce cloud security baselines and tagging standards.
  • Manage state file storage and locking in shared environments to prevent concurrent modification conflicts.
  • Define ownership and change approval workflows for production infrastructure modifications using pull request reviews.
  • Balance immutable vs. mutable infrastructure patterns based on regulatory constraints and rollback requirements.
  • Integrate drift detection mechanisms to identify and remediate unauthorized manual changes to cloud resources.

Module 3: Secure Software Supply Chain

  • Integrate Software Bill of Materials (SBOM) generation into CI pipelines using tools like Syft or ORAS.
  • Enforce vulnerability scanning of container images and dependencies during build, blocking high-severity findings.
  • Sign artifacts and images using Cosign or Notary to establish chain of trust across deployment stages.
  • Configure private registries with access controls and replication policies for disaster recovery.
  • Implement dependency version pinning and automated update workflows using Dependabot or Renovate.
  • Assess third-party software components against license compliance and maintain an approved component catalog.

Module 4: Observability and Monitoring Integration

  • Instrument applications with structured logging to ensure consistent parsing and correlation across microservices.
  • Define SLOs and error budgets in monitoring tools (e.g., Prometheus, Datadog) to guide release decisions.
  • Configure distributed tracing to map service dependencies and identify latency bottlenecks in production.
  • Set up alerting thresholds that minimize noise while ensuring critical incidents trigger on-call response.
  • Correlate deployment metadata with monitoring events to accelerate root cause analysis during outages.
  • Manage retention policies for logs, metrics, and traces based on compliance needs and cost constraints.

Module 5: Production Deployment Strategies

  • Choose deployment patterns (blue-green, canary, rolling) based on risk tolerance, rollback speed, and traffic routing complexity.
  • Integrate feature flags into application architecture to decouple deployment from release.
  • Automate pre-deployment health checks and post-deployment validation using synthetic transactions.
  • Coordinate database schema changes with application deployments using versioned migration scripts.
  • Implement automated rollback procedures triggered by health check failures or SLO violations.
  • Manage stateful service deployments (e.g., databases, message queues) with backup and restore validation.

Module 6: Cross-Team Collaboration and DevOps Toolchain Integration

  • Standardize toolchain interfaces (APIs, CLI conventions) to reduce onboarding time for new teams.
  • Integrate issue tracking (Jira, Linear) with CI/CD pipelines to automatically link commits and deployments.
  • Establish shared ownership models for central platform teams versus product teams using internal developer platforms.
  • Implement feedback loops between operations and development teams via incident postmortems and blameless retrospectives.
  • Manage role-based access controls across tools (Git, CI, cloud) to align with least privilege principles.
  • Document and version internal tooling usage patterns to reduce tribal knowledge dependencies.

Module 7: Scaling DevOps in Regulated Environments

  • Design audit trails for all pipeline executions and infrastructure changes to meet SOX or HIPAA requirements.
  • Implement environment segregation (dev, staging, prod) with network controls and approval gates.
  • Adapt CI/CD workflows to accommodate manual compliance reviews without introducing deployment bottlenecks.
  • Map DevOps processes to control frameworks (e.g., NIST, ISO 27001) for internal and external audits.
  • Manage privileged access to production systems using just-in-time (JIT) elevation and session recording.
  • Balance automation speed with regulatory constraints by defining approved change windows and freeze periods.

Module 8: Performance and Cost Optimization of DevOps Systems

  • Right-size CI/CD runners and build agents based on job concurrency and resource utilization metrics.
  • Implement artifact caching and incremental builds to reduce pipeline execution time and resource consumption.
  • Monitor and control cloud provisioning costs from ephemeral environments (e.g., preview apps, test clusters).
  • Optimize container image layers and base images to reduce pull times and storage costs.
  • Enforce cleanup policies for unused branches, stale environments, and expired pipeline artifacts.
  • Use historical pipeline data to forecast infrastructure needs and negotiate reserved capacity discounts.