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Cutting-edge Tech in Cloud Migration

Cutting-edge Tech in Cloud Migration

$249.00
How you learn:
Self-paced • Lifetime updates
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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This curriculum spans the technical and operational breadth of a multi-phase cloud migration program, comparable to the planning and execution rigor seen in enterprise advisory engagements and internal cloud centers of excellence.

Module 1: Strategic Assessment and Readiness Evaluation

  • Conduct workload dependency mapping to identify tightly coupled systems that may require refactoring before migration.
  • Classify applications using the Gartner five-quadrant model (rehost, refactor, rearchitect, rebuild, replace) based on technical debt and business criticality.
  • Perform TCO modeling that includes hidden costs such as egress fees, long-term data retention, and cross-AZ traffic.
  • Define exit criteria for on-premises decommissioning, including data archival compliance and access continuity.
  • Engage legal and compliance teams to assess data sovereignty implications for workloads moving across geographic regions.
  • Establish baseline performance metrics for critical applications to measure post-migration performance deltas.

Module 2: Cloud Architecture Design and Pattern Selection

  • Select between monolithic lift-and-shift and microservices decomposition based on team DevOps maturity and release cycle demands.
  • Design multi-tier architectures with separation of compute, storage, and database layers using native cloud services (e.g., S3, RDS, EC2).
  • Implement immutable infrastructure patterns using AMI baking and infrastructure-as-code pipelines to reduce configuration drift.
  • Choose between serverless (Lambda) and containerized (EKS/Fargate) deployment models based on burst load predictability and cold start tolerance.
  • Integrate hybrid connectivity patterns (Direct Connect, ExpressRoute) for applications requiring low-latency access to on-premises data.
  • Define autoscaling policies that balance cost (spot instances) with availability (reserved capacity) for stateful workloads.

Module 3: Data Migration and Storage Strategy

  • Develop a phased data cut-over plan using AWS DMS or Azure Data Factory with transactional consistency checks at each stage.
  • Implement tiered storage policies using lifecycle rules to transition data from hot (SSD) to cold (Glacier) storage automatically.
  • Encrypt data at rest and in transit using customer-managed keys (CMKs) and enforce key rotation policies via KMS.
  • Validate referential integrity after database migration, especially when schema changes are introduced during transformation.
  • Address large-scale unstructured data migration using parallel transfer tools (e.g., rsync with parallel streams, AzCopy sync).
  • Design cross-region replication for critical databases considering RPO/RTO requirements and replication lag tolerance.

Module 4: Identity, Access, and Security Governance

  • Implement least-privilege IAM roles using attribute-based access control (ABAC) instead of broad wildcard permissions.
  • Integrate on-premises Active Directory with cloud identity providers using federation (SAML/OIDC) and conditional access policies.
  • Enforce MFA for all privileged roles and automate deprovisioning through identity lifecycle workflows.
  • Deploy centralized logging of IAM activity to detect privilege escalation attempts using CloudTrail and SIEM integration.
  • Standardize tagging policies for resources to enable access control, cost allocation, and security segmentation.
  • Conduct quarterly access reviews for cross-account roles, especially in multi-tenant environments with shared services.

Module 5: Network Architecture and Connectivity

  • Design VPC peering or transit gateway architectures to support inter-VPC communication while avoiding transitive routing limitations.
  • Implement DNS resolution strategies (Route 53, private hosted zones) for hybrid environments with split-view requirements.
  • Configure security groups and NACLs to enforce zero-trust segmentation between application tiers and data layers.
  • Size and provision Direct Connect circuits based on peak data transfer needs, including burst allowances for migration windows.
  • Deploy Web Application Firewalls (WAF) in front of public endpoints and integrate with DDoS protection services.
  • Optimize content delivery using CDN configurations with origin failover and cache invalidation strategies.

Module 6: Automation, CI/CD, and DevOps Integration

  • Standardize infrastructure provisioning using Terraform or CloudFormation with version-controlled modules and state management.
  • Integrate security scanning (Snyk, Checkov) into CI/CD pipelines to enforce policy-as-code before deployment.
  • Implement blue-green or canary deployments using Route 53 weighted routing or service mesh (App Mesh, Istio).
  • Design rollback mechanisms that include both application and infrastructure state reversion using pipeline triggers.
  • Manage configuration drift by enforcing immutable deployment artifacts and prohibiting direct console changes.
  • Orchestrate migration waves using pipeline gates that require approval from operations and security teams.

Module 7: Monitoring, Observability, and Incident Response

  • Deploy distributed tracing (X-Ray, Cloud Trace) for microservices to identify latency bottlenecks across service boundaries.
  • Configure centralized logging with structured ingestion (Fluent Bit, CloudWatch Logs) and retention policies aligned with compliance.
  • Define custom metrics and dashboards that reflect business KPIs, not just infrastructure health.
  • Set dynamic alerting thresholds using anomaly detection instead of static values to reduce false positives.
  • Integrate incident response workflows with ticketing systems (ServiceNow, Jira) and on-call rotation tools (PagerDuty).
  • Conduct post-mortems for migration-related outages with action items tracked in a public log to ensure accountability.

Module 8: Cost Management and Optimization

  • Implement chargeback/showback models using cost allocation tags to assign cloud spend to business units.
  • Right-size compute instances based on actual utilization data from monitoring tools, not vendor recommendations.
  • Negotiate reserved instance commitments only after analyzing 90-day usage patterns to avoid stranded capacity.
  • Automate shutdown schedules for non-production environments using scheduled Lambda functions or Cloud Scheduler.
  • Monitor orphaned resources (dangling EBS volumes, unattached IPs) using automated cleanup scripts with approval workflows.
  • Compare pricing across regions and providers for data-intensive workloads, factoring in network egress and support SLAs.
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