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IT Environment in DevOps

IT Environment in DevOps

$248.00
How you learn:
Self-paced • Lifetime updates
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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30-day money-back guarantee — no questions asked
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What does the IT Environment in DevOps course cover?

IT Environment in DevOps is covered here in 8 modules: Infrastructure as Code (IaC) Strategy and Implementation, Continuous Integration and Pipeline Orchestration, Containerization and Orchestration at Scale and 5 more. The outline lists 48 specific topics, opening with select between declarative (e.g., Terraform) and imperative (e.g., AWS CloudFormation with custom scripts) IaC approaches based on team skill level and rollback requirements.

How do you approach IT Environment in DevOps step by step?

The work is sequenced in 8 stages. It starts with Infrastructure as Code (IaC) Strategy and Implementation, moves through Continuous Integration and Pipeline Orchestration and Containerization and Orchestration at Scale, and ends at Cross-Functional Collaboration and Toolchain Integration. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the IT Environment in DevOps course?

Module 1 is Infrastructure as Code (IaC) Strategy and Implementation. It works through select between declarative (e.g., Terraform) and imperative (e.g., AWS CloudFormation with custom scripts) IaC approaches based on team skill level and rollback requirements., establish state file management protocols, including remote backend configuration and state locking, to prevent concurrent modification conflicts., define module versioning and dependency management practices to ensure.

How is the IT Environment in DevOps course delivered?

The IT Environment 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 IT Environment in DevOps course cost?

The IT Environment in DevOps course is $248 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: Production Environment in DevOps, Test Environment in DevOps, Environment Provisioning in DevOps, Environment Configuration in DevOps.

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

This curriculum spans the technical and operational practices found in multi-workshop DevOps transformation programs, covering the design and integration of infrastructure, security, and reliability controls across the software delivery lifecycle.

Module 1: Infrastructure as Code (IaC) Strategy and Implementation

  • Select between declarative (e.g., Terraform) and imperative (e.g., AWS CloudFormation with custom scripts) IaC approaches based on team skill level and rollback requirements.
  • Establish state file management protocols, including remote backend configuration and state locking, to prevent concurrent modification conflicts.
  • Define module versioning and dependency management practices to ensure reproducible environments across staging and production.
  • Implement automated drift detection and remediation workflows to maintain environment consistency with source-controlled configurations.
  • Balance the use of public registry modules versus internally developed modules to manage security, compliance, and maintenance overhead.
  • Integrate IaC validation into CI pipelines using static analysis tools (e.g., Checkov, tflint) to enforce security baselines before deployment.

Module 2: Continuous Integration and Pipeline Orchestration

  • Configure parallel job execution in CI systems (e.g., Jenkins, GitLab CI) to reduce feedback cycle time while managing resource contention on shared runners.
  • Implement artifact versioning and retention policies in binary repositories (e.g., Artifactory, Nexus) to support auditability and rollback capability.
  • Design pipeline-as-code structures with reusable templates to standardize build and test stages across diverse project types.
  • Enforce branch protection rules and merge request pipelines to prevent untested code from entering mainline branches.
  • Integrate security scanning tools (SAST, dependency checks) into early pipeline stages to fail fast on policy violations.
  • Manage pipeline secrets using centralized secret management (e.g., HashiCorp Vault, AWS Secrets Manager) instead of environment variables or config files.

Module 3: Containerization and Orchestration at Scale

  • Define container image build standards, including minimal base images and non-root user enforcement, to reduce attack surface.
  • Configure Kubernetes namespace isolation and resource quotas to prevent noisy neighbor issues in shared clusters.
  • Select between managed (e.g., EKS, GKE) and self-managed Kubernetes control planes based on operational capacity and regulatory constraints.
  • Implement pod security policies or OPA/Gatekeeper constraints to enforce runtime security baselines across deployments.
  • Design multi-cluster strategies for high availability, considering data replication, DNS failover, and cluster synchronization overhead.
  • Optimize image pull performance using local registry mirrors or pre-pulling images on node initialization in air-gapped environments.

Module 4: Monitoring, Logging, and Observability Engineering

  • Define service-level objectives (SLOs) and error budgets to prioritize incident response and feature development trade-offs.
  • Implement structured logging standards and enforce JSON output format across services to enable reliable log parsing and querying.
  • Configure log retention and archival policies based on compliance requirements and cost considerations for long-term storage.
  • Select between agent-based (e.g., Fluent Bit) and sidecar logging patterns based on cluster density and operational overhead.
  • Design custom dashboards with actionable metrics (e.g., RED, USE) to reduce mean time to detection for critical services.
  • Integrate distributed tracing with context propagation to diagnose latency bottlenecks across microservices boundaries.

Module 5: Security and Compliance in DevOps Workflows

  • Implement just-in-time (JIT) access for production environments using automated approval workflows and time-limited credentials.
  • Embed compliance checks into CI/CD pipelines using policy-as-code tools (e.g., Open Policy Agent) to validate infrastructure configurations.
  • Enforce mandatory peer review for changes to privileged infrastructure components, such as IAM roles or network firewalls.
  • Integrate vulnerability scanning of container images and infrastructure dependencies into pre-deployment gates.
  • Design audit trails that capture who made a change, what changed, and when, using version control and configuration management tools.
  • Coordinate with internal audit teams to define evidence collection procedures for regulatory assessments (e.g., SOC 2, ISO 27001).

Module 6: Environment Management and Promotion Strategies

  • Define environment parity standards to minimize "works on my machine" issues across development, staging, and production.
  • Implement ephemeral environment provisioning for feature branches to enable isolated testing without long-term resource costs.
  • Establish promotion workflows using GitOps (e.g., ArgoCD) to synchronize environment state from version-controlled manifests.
  • Manage configuration variance across environments using parameterized templates or external configuration stores (e.g., Consul, SSM Parameter Store).
  • Enforce data masking or synthetic data generation in non-production environments to comply with privacy regulations.
  • Define environment ownership and lifecycle policies, including automated teardown after inactivity to control cloud spend.

Module 7: Incident Response and Reliability Engineering

  • Implement automated runbook execution for common failure scenarios (e.g., pod restarts, failover triggers) using incident management tools.
  • Conduct blameless postmortems with standardized templates to document root causes, contributing factors, and action items.
  • Integrate on-call rotations with escalation policies and response time SLAs based on service criticality tiers.
  • Design circuit-breaking and rate-limiting mechanisms at the service mesh level to prevent cascading failures.
  • Perform regular chaos engineering experiments (e.g., network latency injection, pod termination) to validate system resilience.
  • Measure and track change failure rate and mean time to recovery (MTTR) to assess deployment process maturity.

Module 8: Cross-Functional Collaboration and Toolchain Integration

  • Standardize API contracts between development, operations, and security teams using OpenAPI or AsyncAPI specifications.
  • Integrate issue tracking systems (e.g., Jira) with deployment pipelines to automatically update tickets upon release.
  • Establish shared ownership of service health via SLO dashboards accessible to both engineering and business stakeholders.
  • Design feedback loops from production monitoring data into sprint retrospectives to prioritize technical debt reduction.
  • Coordinate toolchain upgrades (e.g., Kubernetes version, CI runner OS) across teams using phased rollouts and backward compatibility testing.
  • Manage technical documentation as code in version control to ensure consistency with deployed systems and enable peer review.
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