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Cloud Architecture in Cloud Migration

Cloud Architecture in Cloud Migration

$250.00
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.
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What does the Cloud Architecture in Cloud Migration course cover?

Cloud Architecture in Cloud Migration is covered here in 8 modules: Strategic Assessment and Readiness Evaluation, Cloud Landing Zone Design and Implementation, Data Migration and Storage Strategy and 5 more. The outline lists 48 specific topics, opening with conduct a workload dependency analysis to identify tightly coupled on-premises systems that may require refactoring before migration.

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

The work is sequenced in 8 stages. It starts with Strategic Assessment and Readiness Evaluation, moves through Cloud Landing Zone Design and Implementation and Data Migration and Storage Strategy, and ends at Cost Management and Optimization. Each stage carries its own topic list, so the sequence is followed rather than summarised.

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

Module 1 is Strategic Assessment and Readiness Evaluation. It works through 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.

How is the Cloud Architecture in Cloud Migration course delivered?

The Cloud Architecture 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 Cloud Architecture in Cloud Migration course cost?

The Cloud Architecture 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: Serverless Architecture in Cloud Migration, System Architecture in Cloud Migration, Cloud Migration and Architecture Modernization Kit, Cloud Architecture and Migration Strategies.

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

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.
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