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DevOps Practices in DevOps

$251.00
When you get access:
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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Self-paced • Lifetime updates
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What does the DevOps Practices in DevOps course cover?

DevOps Practices in DevOps is covered here in 8 modules: Establishing CI/CD Pipeline Architecture, Infrastructure as Code (IaC) Governance, Secure Software Supply Chain and 5 more. The outline lists 48 specific topics, opening with select version control branching strategies (e.g., trunk-based vs. GitFlow) based on team release velocity and compliance requirements.

How do you approach DevOps Practices in DevOps step by step?

The work is sequenced in 8 stages. It starts with Establishing CI/CD Pipeline Architecture, moves through Infrastructure as Code (IaC) Governance and Secure Software Supply Chain, and ends at Performance and Cost Optimization of DevOps Systems. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the DevOps Practices in DevOps course?

Module 1 is Establishing CI/CD Pipeline Architecture. It works through 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.

How is the DevOps Practices in DevOps course delivered?

The DevOps Practices 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 DevOps Practices in DevOps course cost?

The DevOps Practices 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: Top DevOps Tools for Seamless Integration, DevOps Practices and Agile Contracts Kit, DevSecOps, DevOps Engineering Practices.

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

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.