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DevOps in Cloud Migration

DevOps in Cloud Migration

$251.00
How you learn:
Self-paced • Lifetime updates
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Trusted by professionals in 160+ countries
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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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What does the DevOps in Cloud Migration course cover?

DevOps in Cloud Migration is covered here in 8 modules: Assessing Organizational Readiness for Cloud-Native DevOps, Designing Cloud Infrastructure with Infrastructure-as-Code (IaC), Securing the DevOps Pipeline in Cloud Environments and 5 more. The outline lists 48 specific topics, opening with evaluate existing CI/CD pipelines to determine compatibility with cloud provider tooling such as AWS CodePipeline, Azure DevOps, or Google Cloud Build.

How do you approach DevOps in Cloud Migration step by step?

The work is sequenced in 8 stages. It starts with Assessing Organizational Readiness for Cloud-Native DevOps, moves through Designing Cloud Infrastructure with Infrastructure-as-Code (IaC) and Securing the DevOps Pipeline in Cloud Environments, and ends at Continuous Improvement and Post-Migration Optimization. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the DevOps in Cloud Migration course?

Module 1 is Assessing Organizational Readiness for Cloud-Native DevOps. It works through evaluate existing CI/CD pipelines to determine compatibility with cloud provider tooling such as AWS CodePipeline, Azure DevOps, or Google Cloud Build., conduct skills gap analysis across development, operations, and security teams to identify training or staffing needs for cloud automation., map legacy application dependencies to assess refactoring requirements before integration.

How is the DevOps in Cloud Migration course delivered?

The DevOps in Cloud Migration 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 in Cloud Migration course cost?

The DevOps in Cloud Migration 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: DevOps Automation in Cloud Migration, DevOps Implementation for Cloud Migration, Azure Cloud DevOps Migration for Legacy Systems, The DevOps Engineer's Course on Building a Healthcare.

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

This curriculum spans the equivalent of a multi-workshop technical advisory engagement, addressing the full lifecycle of cloud migration through DevOps—from readiness assessment and IaC design to pipeline security, cross-team coordination, and post-migration governance—mirroring the phased, cross-functional efforts seen in enterprise platform transformations.

Module 1: Assessing Organizational Readiness for Cloud-Native DevOps

  • Evaluate existing CI/CD pipelines to determine compatibility with cloud provider tooling such as AWS CodePipeline, Azure DevOps, or Google Cloud Build.
  • Conduct skills gap analysis across development, operations, and security teams to identify training or staffing needs for cloud automation.
  • Map legacy application dependencies to assess refactoring requirements before integration into cloud-based DevOps workflows.
  • Define ownership boundaries between development teams and platform engineering for self-service infrastructure provisioning.
  • Establish baseline performance and reliability metrics for on-premises systems to measure post-migration DevOps efficacy.
  • Review compliance constraints (e.g., data residency, audit logging) that may restrict automation scope or tool selection.

Module 2: Designing Cloud Infrastructure with Infrastructure-as-Code (IaC)

  • Select IaC tools (e.g., Terraform, AWS CloudFormation, Pulumi) based on multi-cloud needs, team expertise, and state management requirements.
  • Implement modular, reusable IaC templates with environment-specific variables for dev, staging, and production.
  • Enforce IaC peer review and automated validation using pre-commit hooks and linters (e.g., tflint, checkov).
  • Integrate IaC into version control with branch protection rules to prevent direct changes to production environments.
  • Design rollback strategies for failed infrastructure deployments using versioned state files and immutable module references.
  • Balance declarative configuration with imperative scripting for edge cases while maintaining auditability and idempotency.

Module 3: Securing the DevOps Pipeline in Cloud Environments

  • Integrate secret management (e.g., HashiCorp Vault, AWS Secrets Manager) into CI/CD pipelines to eliminate hardcoded credentials.
  • Implement role-based access control (RBAC) for pipeline execution, limiting permissions to least privilege for each stage.
  • Embed static application security testing (SAST) and container scanning into build stages with policy gates for critical vulnerabilities.
  • Enforce signed commits and artifact provenance to prevent unauthorized code from entering the deployment pipeline.
  • Configure audit logging for all pipeline activities and centralize logs in a protected SIEM or cloud-native logging service.
  • Define and test incident response procedures for pipeline compromises, including pipeline freezing and forensic data collection.

Module 4: Building and Managing Cloud-Native CI/CD Pipelines

  • Design pipeline concurrency limits to prevent resource exhaustion in shared cloud-hosted runners or agents.
  • Optimize build times using distributed caching, artifact repositories, and ephemeral self-hosted runners.
  • Implement canary and blue-green deployment patterns using cloud load balancers and service mesh integrations.
  • Configure pipeline triggers based on Git tags, pull request labels, or external event sources (e.g., artifact registry events).
  • Manage configuration drift by enforcing immutable build artifacts and prohibiting runtime configuration overrides.
  • Monitor pipeline health with SLOs for success rate, duration, and failure recovery time across environments.

Module 5: Observability and Feedback Loops in Migrated Systems

  • Instrument applications with distributed tracing (e.g., OpenTelemetry) to track transactions across microservices in hybrid environments.
  • Standardize logging formats and ship logs to centralized systems (e.g., ELK, Datadog, CloudWatch) with retention and access policies.
  • Define and alert on meaningful service-level objectives (SLOs) rather than raw infrastructure metrics.
  • Correlate deployment events with anomaly detection in monitoring systems to accelerate root cause analysis.
  • Implement health checks and readiness probes that reflect actual service dependencies and data consistency requirements.
  • Automate feedback to developers by linking monitoring alerts to ticketing systems or pull request comments.

Module 6: Governance, Compliance, and Cost Control in DevOps Operations

  • Enforce tagging policies at deployment time to ensure cloud resource accountability and cost allocation.
  • Integrate policy-as-code tools (e.g., Open Policy Agent, AWS Config) to block non-compliant resource configurations.
  • Set budget alerts and automated shutdowns for non-production environments to control cloud spend from CI/CD activity.
  • Conduct periodic access reviews for service accounts used in pipelines to prevent privilege creep.
  • Archive or decommission stale environments created during feature branching or testing.
  • Document and version compliance controls (e.g., SOC 2, HIPAA) as code to enable automated attestation.

Module 7: Scaling DevOps Across Multi-Team and Hybrid Environments

  • Design a platform team structure to provide standardized tooling, templates, and support for product teams.
  • Implement a service catalog with approved tech stacks and deployment blueprints to reduce fragmentation.
  • Coordinate deployment windows and change advisory boards (CABs) for interdependent services during migration phases.
  • Manage configuration consistency across on-premises and cloud environments using configuration management tools (e.g., Ansible, Chef).
  • Resolve network latency and data sovereignty issues in hybrid CI/CD by locating build agents close to source systems.
  • Standardize API contracts and event schemas between teams to enable independent deployment and testing.

Module 8: Continuous Improvement and Post-Migration Optimization

  • Conduct blameless postmortems after production incidents to identify systemic gaps in pipeline or monitoring coverage.
  • Measure deployment frequency, lead time for changes, and mean time to recovery (MTTR) to track DevOps maturity.
  • Rotate and refresh long-lived certificates and access keys used in pipelines using automated credential rotation.
  • Refactor monolithic pipelines into reusable, parameterized jobs to improve maintainability and reduce duplication.
  • Evaluate and upgrade underlying tool versions (e.g., Kubernetes, Jenkins) with backward compatibility testing.
  • Reassess architecture decisions annually based on usage patterns, cost trends, and evolving cloud provider capabilities.
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