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Cloud Migration in IT Operations Management

$249.00
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Self-paced • Lifetime updates
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Course access is prepared after purchase and delivered via email
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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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This curriculum spans the equivalent depth and breadth of a multi-workshop technical advisory engagement, covering the same technical, operational, and governance activities performed during an enterprise-wide cloud migration led by internal IT transformation teams.

Module 1: Strategic Assessment and Readiness Evaluation

  • Conduct a workload dependency mapping exercise to identify inter-system communication patterns before migration.
  • Establish criteria for application suitability using technical debt, scalability requirements, and lifecycle stage.
  • Define business continuity thresholds to determine acceptable downtime during migration phases.
  • Perform a cloud provider capability gap analysis against existing on-premises SLAs and compliance obligations.
  • Engage application owners in classification workshops to assign migration priority and ownership.
  • Develop a TCO model that includes hidden costs such as data egress, cross-AZ traffic, and operational retraining.

Module 2: Cloud Architecture Design and Sizing

  • Select instance families based on sustained CPU/memory profiles and burst requirements for production workloads.
  • Design multi-AZ database architectures balancing RPO and RTO against replication latency and cost.
  • Implement network segmentation using VPC peering, route tables, and security group rules aligned with zero-trust principles.
  • Size storage tiers (e.g., EBS gp3 vs. io2) based on IOPS, throughput, and durability requirements.
  • Integrate hybrid DNS resolution strategies to maintain name resolution across on-premises and cloud environments.
  • Define autoscaling policies using custom CloudWatch metrics tied to application-level performance indicators.

Module 3: Data Migration and Integration Planning

  • Choose between online and offline data transfer methods based on data volume, network bandwidth, and cutover window.
  • Implement change data capture (CDC) using tools like AWS DMS to minimize source database impact during replication.
  • Design schema transformation workflows for legacy databases migrating to managed cloud database services.
  • Validate referential integrity and data consistency post-migration using automated checksum and row-count validation scripts.
  • Coordinate application configuration updates with data cutover timing to prevent connectivity failures.
  • Establish data residency controls using tagging and encryption to comply with jurisdiction-specific regulations.

Module 4: Identity, Access, and Security Governance

  • Map on-premises Active Directory groups to cloud IAM roles using federation with SAML 2.0 or OIDC.
  • Implement least-privilege policies by analyzing CloudTrail logs and refining permissions using IAM Access Analyzer.
  • Enforce MFA for all privileged roles, including break-glass accounts with time-bound activation.
  • Configure centralized logging and alerting for anomalous sign-in behavior using SIEM integration.
  • Define encryption key ownership and rotation policies using customer-managed KMS keys versus AWS-managed keys.
  • Establish cross-account access boundaries to limit lateral movement in multi-account cloud environments.

Module 5: Application Refactoring and Modernization

  • Determine refactoring depth for monolithic applications based on business value and technical feasibility.
  • Migrate stateful components to cloud-native storage with session persistence strategies using Redis or DynamoDB.
  • Containerize legacy applications using Docker and orchestrate with managed Kubernetes services (EKS, GKE).
  • Implement feature flagging to decouple deployment from release during incremental modernization.
  • Replace hardcoded configuration with parameter store or secrets management integration.
  • Adapt logging frameworks to stream structured JSON logs to centralized observability platforms.

Module 6: Operational Continuity and Monitoring

  • Integrate cloud monitoring tools with existing ITSM platforms to route incidents to appropriate support tiers.
  • Define baseline performance metrics for each migrated application to detect post-migration regressions.
  • Configure synthetic transaction monitoring to validate end-user experience across regions.
  • Establish backup retention schedules and test restore procedures for cloud-native workloads.
  • Implement automated drift detection for infrastructure as code using drift comparison tools.
  • Design runbooks for common failure scenarios, including failover to secondary regions and rollback procedures.

Module 7: Cost Management and Financial Governance

  • Negotiate enterprise discount programs (e.g., EC2 Reserved Instances, Azure Hybrid Benefit) based on utilization forecasts.
  • Implement tagging standards for cost allocation and chargeback reporting across departments.
  • Use cost anomaly detection to identify unexpected spending spikes from misconfigured resources.
  • Enforce budget controls through automated remediation of untagged or underutilized resources.
  • Compare total operational cost pre- and post-migration to validate financial assumptions.
  • Optimize storage lifecycle policies by transitioning cold data to lower-cost tiers automatically.

Module 8: Governance, Compliance, and Audit Readiness

  • Map cloud resource configurations to regulatory frameworks (e.g., HIPAA, GDPR) using compliance automation tools.
  • Implement configuration guardrails using policy-as-code (e.g., AWS Config, Azure Policy) to prevent non-compliant deployments.
  • Conduct periodic access reviews to revoke unnecessary permissions for offboarded or changed roles.
  • Archive audit logs in immutable storage to meet legal hold and forensic investigation requirements.
  • Coordinate third-party audit access with cloud provider evidence sharing mechanisms.
  • Document data flow diagrams and update business impact analyses to reflect new cloud dependencies.