Legacy Application Modernization

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.

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

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

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

Frequently Asked Questions