Tell me a time when you had to solve difficult problem
1. Tell me a time when you had to solve difficult problem
Situation:
- At Reputation.com, legacy Integrator Service was handling external API syncs.
- It was monolithic, fragile, and hard to scale.
- Business decided to migrate 200+ customers to a new Rep Connector microservice built on modern stack.
- Risk: API failures, data loss, downtime during cutover.
Task:
- Lead the migration from old service to Rep Connector.
- Ensure data consistency across millions of API syncs.
- Minimize downtime and errors for live customers.
Action:
Designed migration plan:
- Used Kafka + retry queues for reliable event processing.
- Added idempotency keys to prevent duplicate API calls.
- Implemented feature flags to switch customers gradually.
Validation strategy:
- Built scripts to compare legacy vs new system outputs.
- Added monitoring dashboards in ELK + Grafana for API failures.
Risk mitigation:
- Created rollback path → route traffic back to old integrator if issues.
- Conducted pilot migration with 5 customers first.
Execution:
- Migrated in controlled batches (20–30 customers at a time).
- Daily sync validations with QA before expanding further.
- On-call monitoring during final cutover.
Result
- Successfully migrated 200+ customers with zero downtime.
- Improved throughput by 30–40% due to microservice architecture.
- Reduced API failures significantly with retries + idempotency.
- Leadership recognized it as a model migration strategy.
- Built a reusable framework for future customer migrations.