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Application Development in Cloud Migration

Application Development in Cloud Migration

$197.00
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30-day money-back guarantee — no questions asked
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Self-paced • Lifetime updates
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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 Application Development in Cloud Migration course cover?

Application Development in Cloud Migration is covered here in 7 modules: Cloud Readiness Assessment and Application Portfolio Analysis, Cloud Architecture Design and Pattern Selection, Data Migration and Database Modernization and 4 more. The outline lists 42 specific topics, opening with decide which applications to rehost, refactor, rearchitect, or retire based on business criticality, technical debt, and interdependencies.

How do you approach Application Development in Cloud Migration step by step?

The work is sequenced in 7 stages. It starts with Cloud Readiness Assessment and Application Portfolio Analysis, moves through Cloud Architecture Design and Pattern Selection and Data Migration and Database Modernization, and ends at Cost Management and Optimization Post-Migration. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Application Development in Cloud Migration course?

Module 1 is Cloud Readiness Assessment and Application Portfolio Analysis. It works through decide which applications to rehost, refactor, rearchitect, or retire based on business criticality, technical debt, and interdependencies., map application communication patterns and data flows to identify hidden dependencies that could disrupt migration., evaluate licensing constraints for third-party software when moving to cloud environments with different deployment models.

How is the Application Development in Cloud Migration course delivered?

The Application Development 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 Application Development in Cloud Migration course cost?

The Application Development in Cloud Migration course is $198 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: Cloud Applications in Cloud Migration, Web Application Migration in Cloud Migration, Application Discovery in Cloud Migration, Application Inventory in Cloud Migration.

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 program, addressing the same decision frameworks and implementation challenges encountered in enterprise advisory engagements for application modernization.

Module 1: Cloud Readiness Assessment and Application Portfolio Analysis

  • Decide which applications to rehost, refactor, rearchitect, or retire based on business criticality, technical debt, and interdependencies.
  • Map application communication patterns and data flows to identify hidden dependencies that could disrupt migration.
  • Evaluate licensing constraints for third-party software when moving to cloud environments with different deployment models.
  • Establish scoring criteria for application migration priority using factors such as downtime tolerance, compliance requirements, and ownership clarity.
  • Conduct performance baselining of on-premises applications to set cloud performance benchmarks and detect regressions post-migration.
  • Coordinate with infrastructure, security, and business units to validate application ownership and obtain migration sign-offs.

Module 2: Cloud Architecture Design and Pattern Selection

  • Select between monolithic lift-and-shift and microservices decomposition based on scalability needs and team DevOps maturity.
  • Design stateless application layers to enable horizontal scaling while managing state persistence through managed database or cache services.
  • Implement secure service-to-service communication using private endpoints, VPC peering, or service meshes instead of public exposure.
  • Choose between serverless (e.g., AWS Lambda) and containerized (e.g., EKS, AKS) deployment models based on cold start sensitivity and resource predictability.
  • Integrate asynchronous messaging (e.g., SQS, Pub/Sub) to decouple components and handle variable workloads during migration transitions.
  • Define data residency and egress strategies early to comply with jurisdictional requirements in multi-region deployments.

Module 4: Data Migration and Database Modernization

  • Plan cutover windows for database migration using replication tools (e.g., AWS DMS) while minimizing application downtime.
  • Convert legacy schemas to cloud-native database models (e.g., from Oracle to Aurora PostgreSQL) while preserving referential integrity.
  • Implement data validation checks post-migration to detect record loss, truncation, or encoding issues in large datasets.
  • Decide whether to use managed database services or self-managed instances based on operational overhead and customization needs.
  • Address performance degradation in migrated databases by tuning cloud-specific parameters such as IOPS, storage types, and connection pooling.
  • Design backup and point-in-time recovery strategies aligned with SLAs for cloud-hosted databases.

Module 5: CI/CD Pipeline Integration and DevOps Enablement

  • Reconfigure on-premises Jenkins or GitLab pipelines to integrate with cloud artifact repositories (e.g., ECR, ACR) and deployment targets.
  • Enforce infrastructure-as-code (IaC) practices using Terraform or CloudFormation with peer-reviewed change workflows.
  • Implement canary deployments in cloud environments using feature flags and traffic shifting mechanisms (e.g., ALB, Istio).
  • Secure pipeline secrets using cloud-native secret managers (e.g., AWS Secrets Manager, Azure Key Vault) instead of hardcoded credentials.
  • Integrate automated security scanning (SAST/DAST) into CI/CD stages to block high-risk code from reaching production.
  • Standardize environment parity across dev, staging, and production using container images and immutable infrastructure patterns.

Module 6: Security, Identity, and Compliance Governance

  • Replace on-premises Active Directory dependencies with cloud identity federation (e.g., SSO via SAML/OIDC) and least-privilege IAM roles.
  • Enforce encryption at rest and in transit for all application data, including temporary files and logs, using cloud KMS.
  • Implement network segmentation using security groups, NSGs, or firewall rules to limit lateral movement in cloud VPCs.
  • Configure audit logging (e.g., CloudTrail, Azure Monitor) to capture configuration changes and access events for compliance reporting.
  • Align application access controls with regulatory frameworks (e.g., HIPAA, GDPR) through data classification and access logging.
  • Conduct regular IAM access reviews to remove stale permissions and enforce just-in-time access for privileged roles.

Module 7: Monitoring, Observability, and Incident Response

  • Instrument applications with distributed tracing (e.g., AWS X-Ray, OpenTelemetry) to diagnose latency across microservices.
  • Define and alert on meaningful SLOs and error budgets instead of raw infrastructure metrics to focus on user impact.
  • Centralize logs from cloud and on-premises sources into a scalable platform (e.g., ELK, Datadog) with retention and access controls.
  • Configure auto-remediation scripts for common failure scenarios (e.g., restart failed containers, scale under load).
  • Simulate production outages through chaos engineering practices to validate resilience of migrated applications.
  • Establish incident escalation paths and runbook documentation specific to cloud provider tools and support processes.

Module 8: Cost Management and Optimization Post-Migration

  • Tag all cloud resources by application, team, and environment to enable accurate cost allocation and chargeback reporting.
  • Right-size compute instances based on actual utilization metrics, avoiding over-provisioning from on-premises assumptions.
  • Implement auto-scaling policies that balance performance and cost, including scheduled scaling for predictable workloads.
  • Negotiate reserved instance or savings plan commitments only after analyzing sustained usage patterns over 90+ days.
  • Identify and decommission orphaned resources such as unattached disks, idle load balancers, and unused snapshots.
  • Integrate cost anomaly detection tools to alert on unexpected spending spikes tied to application behavior or misconfigurations.
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