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Department 05: Cloud Migration & Modernization

AWS Migration Services

Migrate servers, databases, and apps to AWS using proven landing zones and automation.

Service Scope Definition: Move suitable workloads to AWS or improve workloads already there. We plan the migration approach, dependencies, data transfer, testing, and transition to ongoing operations.
Configure in Scope Estimator

Common Challenges & Technical Drivers

  • Fears of extended production downtime, data loss, or customer disruption during cutover.
  • Hidden dependencies between legacy applications, background jobs, and on-premise hardware.
  • Bandwidth bottlenecks causing slow data replication and prolonged synchronization delays.
  • Post-migration performance drops caused by misconfigured cloud storage or network throughput.

What Is Included (In-Scope Deliverables)

  • Migration discovery, dependency mapping, and workload classification (6 Rs framework).
  • Automated continuous data replication (CDC) setup to synchronize data deltas with near-zero lag.
  • Target cloud landing zone provisioning and infrastructure validation testing.
  • Execution of simulated dry-run cutover and production cutover coordination with roll-back gates.

Scope Boundaries & Transparent Exclusions

  • Bandwidth transit costs and destination cloud storage consumption fees.
  • Rewriting legacy application source code to cloud-native microservices (covered in Dept 09).
  • Decommissioning physical on-premise server hardware or lease negotiations.
  • Resolving pre-existing database corruption present on the source system.

Tangible Engineering Deliverables

  • Comprehensive Migration Strategy document with phased wave schedules and risk assessments.
  • Automated replication pipeline scripts and data validation checksum reports.
  • Minute-by-minute cutover runbook with clear rollback triggers and escalation paths.
  • Post-migration acceptance audit report verifying performance baselines and data integrity.
Interactive Workload Sizing

Configure Scope Parameters

Production Growth • 3–4 Weeks

Select your target cloud environment and operational scale to view projected engineering capacity and sprint milestones.

Recommended Engineering Squad: 1 Principal Architect + 1 Senior Engineer
Infrastructure as Code

Production Architecture Specification

Enterprise baseline declaration module deployed as part of this service scope. Fully auditable, zero-lockin, turnkey source code.

dms-cdc-replication.tf • Terraform (HCL) Verified Syntax
resource "aws_dms_replication_task" "zero_downtime_cutover" {
  migration_type           = "full-load-and-cdc"
  replication_instance_arn = aws_dms_replication_instance.high_perf.arn
  source_endpoint_arn      = aws_dms_endpoint.source_onprem.arn
  target_endpoint_arn      = aws_dms_endpoint.target_aurora.arn
  table_mappings           = file("schema-mappings.json")
  cdc_start_position       = "now"
}

Sprint Delivery Roadmap & Phased Milestones

PHASE 01 • DAYS 1-5

Discovery & Threat Audit

Boundary mapping, IAM credential audit, and baseline architecture assessment.

PHASE 02 • DAYS 6-14

IaC Build & Configuration

Modular infrastructure as code provisioning with automated policy enforcement.

PHASE 03 • DAYS 15-22

Validation & Dry-Runs

Automated test suites, simulated load benchmarks, and failover verification.

PHASE 04 • DAYS 23-30

Handover & Acceptance

Recorded engineering walk-through, runbook sign-off, and warranty support.

Frequently Asked Questions

We establish continuous Change Data Capture (CDC) replication while the source database remains live. During the cutover window, we execute a DNS switch that takes under 5 minutes.

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