Skip to main content
Cloud Architecture in Cloud Migration

Cloud Architecture in Cloud Migration

$249.00
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
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.
Who trusts this:
Trusted by professionals in 160+ countries
Adding to cart… The item has been added

This curriculum spans the technical and operational rigor of a multi-workshop cloud migration engagement, addressing the same architectural decisions, compliance requirements, and system integration challenges encountered in large-scale enterprise migrations.

Module 1: Strategic Assessment and Readiness Evaluation

  • Conduct a workload dependency analysis to identify tightly coupled on-premises systems that may require refactoring before migration.
  • Classify applications using the GartnerPACE framework (Product, Application, Custom, Engineered) to determine appropriate migration paths.
  • Perform a TCO comparison between existing data center contracts and projected cloud spend, including reserved instance commitments.
  • Evaluate data sovereignty requirements per jurisdiction and map them to available cloud regions during target architecture planning.
  • Assess internal skill gaps by auditing team certifications and hands-on experience with target cloud platforms.
  • Define exit criteria for legacy systems, including data archival, decommissioning timelines, and stakeholder approvals.

Module 2: Cloud Landing Zone Design and Implementation

  • Implement multi-account strategies using AWS Organizations or Azure Management Groups to enforce separation of environments.
  • Configure centralized logging by deploying a dedicated SIEM ingestion account with immutable S3 or Blob Storage retention.
  • Establish DNS routing policies across hybrid environments using split-horizon DNS or cloud-based DNS services.
  • Design identity federation between on-premises Active Directory and cloud IAM using SAML 2.0 or OIDC.
  • Enforce network segmentation using hub-and-spoke or mesh topologies with managed firewalls at egress points.
  • Implement tagging governance policies with automated enforcement via AWS Config or Azure Policy.

Module 3: Data Migration and Storage Strategy

  • Select between offline (e.g., AWS Snowball) and online data transfer based on bandwidth availability and data sensitivity.
  • Design staged database cutover plans using native replication tools like AWS DMS or Azure Data Box with minimal downtime SLAs.
  • Implement encryption key rotation for data at rest using customer-managed keys in KMS or Azure Key Vault.
  • Define data lifecycle policies to transition objects from hot to cold storage based on access patterns.
  • Validate referential integrity post-migration for relational databases using checksum and row count reconciliation.
  • Configure cross-region replication for critical datasets while evaluating egress cost implications.

Module 4: Application Refactoring and Modernization

  • Determine whether to rehost, refactor, or rebuild legacy .NET or Java applications based on technical debt and business value.
  • Migrate monolithic applications to microservices using domain-driven design to identify bounded contexts.
  • Containerize stateful applications by externalizing session storage to managed Redis or Cosmos DB.
  • Implement circuit breakers and retry logic in service-to-service communication to handle cloud network variability.
  • Adapt legacy authentication mechanisms to integrate with cloud-native identity providers like Cognito or Entra ID.
  • Refactor hardcoded configuration values to use cloud parameter stores with environment-specific overrides.

Module 5: Network Architecture and Hybrid Connectivity

  • Size Direct Connect or ExpressRoute circuits based on peak application throughput and failover requirements.
  • Configure BGP routing policies to control traffic flow between on-premises and cloud VPCs/VNets.
  • Implement DNS resolution across hybrid environments using Route 53 Resolver or Azure Private DNS.
  • Design secure hybrid access for remote users using ZTNA principles instead of legacy VPN concentrators.
  • Enforce egress traffic inspection through cloud-native firewalls like AWS Network Firewall or Azure Firewall.
  • Optimize cross-AZ data transfer costs by identifying chatty applications and adjusting placement strategies.

Module 6: Security, Compliance, and Identity Governance

  • Implement least privilege access using just-in-time (JIT) elevation and role-based access control (RBAC) templates.
  • Integrate cloud audit logs with existing SIEM platforms using native streaming services like CloudTrail or Azure Monitor.
  • Conduct periodic access certification reviews for cloud roles, especially for privileged administrative groups.
  • Enforce encryption standards by blocking unencrypted endpoints using service control policies or Azure Policy.
  • Map regulatory controls (e.g., HIPAA, GDPR) to specific cloud configuration baselines and automated checks.
  • Respond to credential compromise by automating IAM user deactivation and key rotation across regions.

Module 7: Operational Resilience and Observability

  • Define RTO and RPO for critical workloads and validate them through scheduled failover drills in DR regions.
  • Implement synthetic transaction monitoring to detect degradation in user-facing applications.
  • Configure auto-scaling policies using custom CloudWatch or Azure Monitor metrics tied to business KPIs.
  • Standardize logging formats across services to enable consistent parsing and alerting in centralized systems.
  • Manage configuration drift using infrastructure-as-code tools with mandatory pull request reviews.
  • Establish runbook automation for common incidents using Systems Manager or Azure Automation.

Module 8: Cost Management and Optimization

  • Negotiate enterprise discount programs (e.g., AWS EDP, Azure EA) based on projected three-year usage.
  • Right-size overprovisioned VMs using performance telemetry from monitoring agents over a 30-day period.
  • Implement automated shutdown policies for non-production resources during off-hours using tagging.
  • Compare the total cost of ownership for managed services (e.g., RDS vs. self-managed SQL) including admin effort.
  • Monitor and alert on anomalous spending patterns using budget tools with granular scope by department.
  • Optimize data transfer costs by caching static assets through CDN and minimizing cross-region replication.
!