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common.homecaseStudies.titleSeries B FinTech
Financial Services

Migrated 2TB PostgreSQL Cluster with Zero Downtime

4 weeks
3 caseStudies.team
Series B FinTech
PostgreSQLDockerAWSTerraformDebezium
$4,500
Monthly Savings
Zero
Downtime
340%
TPS Improvement
Zero
Data Loss
Database Migration Results
Metric
Before
After
TPS
50K (ceiling)
170K+ +340%
Query Latency
Baseline
-40% Faster
Monthly Cost
On-prem ops
-$4,500/mo Saved
Downtime
Risk window
Zero seconds Seamless
CDC Migration Pipeline
1
PostgreSQL
Source (on-prem)
2
Debezium
WAL capture
3
Kafka
Stream events
4
Aurora
Target (AWS)
Zero-downtime PostgreSQL CDC migration architectureZero-downtime PostgreSQL CDC migration architecture
CDC Migration Pipeline — 2TB Migrated with Zero Downtime

caseStudies.theChallenge

Legacy on-prem PostgreSQL cluster handling 50K TPS was hitting I/O ceilings. Zero downtime required for payment processing pipeline.

✗2TB database with 400+ tables and complex FKs
✗50K TPS at peak — no maintenance window possible
✗Regulatory requirement for zero data loss
✗Legacy schema with no partition strategy

caseStudies.ourSolution

CDC-based migration using Debezium, streaming WAL changes to Aurora while keeping both systems in sync during 72-hour cutover.

Deployed Debezium CDC connectors for real-time WAL capture
Parallelized initial data load across 8 worker threads
Built automated checksum validation per table
Implemented traffic-splitting proxy for gradual cutover
Ran both systems in parallel 72 hours before switch
caseStudies.resultsImpact

Query latency dropped 40%. Database handles 2x previous throughput.

caseStudies.projectTimeline

Week 1
Schema analysis, Aurora provisioning, Debezium setup
Week 2
Initial data load — 2TB in 18 hours
Week 3
CDC streaming validated — lag under 500ms
Week 4
72-hour parallel run, validation, final cutover
C

"Zero downtime on a 2TB migration. Our board was skeptical — CloudLink proved them wrong."

CTO
Series B FinTech

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