Solution
We introduced clear service boundaries, an event-driven exception model, and a redesigned operator workspace. Delivery moved in slices with dual-run validation before each cutover.
Case study
LogisticsOperations platform rebuild
How we replaced a brittle ops stack with a modular platform without stopping daily operations.
- Duration 6 months
- Team 5 engineers
- Performance P99 latency −35%
Representative product visual — replace with verified project screenshots when available.
Context & challenge
The conditions that made the engagement necessary.
The existing system mixed UI, business rules, and integrations in ways that made every release risky. Throughput targets were rising while failure modes stayed opaque.
Approach & solution
How delivery was structured and what the platform needed to support.
Architecture themes
- Event-driven
- Microservices
- CQRS
Outcome & proof
Published outcomes for this case study — not extrapolated beyond the source notes.
- Release risk reduced through staged cutovers
- Faster exception resolution for frontline teams
- Observability that made incidents diagnosable
40% faster exception resolution
P99 latency −35%Technology
Stack used for the engagement described here.
- TypeScript
- Next.js
- Node.js
- PostgreSQL
- Kubernetes
Related portfolio work
Portfolio themes that map to this engagement.
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