Performance Engineering

Performance

Global Transportation Company · Logistics / Freight Brokerage · 1 month

12,000 employeesInternational transportation and logistics

90%

Query time reduction

+15%

Closed trips per day

0

Performance complaints

The Problem

Slow database queries were dragging down response times across core services. Partners and drivers complained about the app, latency was visible on every load, and every slowdown chipped away at trips closed per day.

  • Slow PostgreSQL queries under peak load
  • Partner and driver complaints about app performance
  • No caching layer for frequently accessed data
  • Platform could not absorb the next growth phase without degrading

Our Solution

We analyzed application queries against PostgreSQL, optimized the hot paths, added Redis caching for frequently accessed data, and introduced gRPC for fast internal service communication. The optimizations reduced database load, leaving headroom to scale with a growing user base.

  • Profiled application queries against PostgreSQL and identified hot paths
  • Optimized the slowest queries, cutting processing time by 90%
  • Added Redis caching for frequently accessed data
  • Introduced gRPC to speed up service-to-service communication
  • Added automated tests so performance gains hold under future changes

The Result

Query processing time dropped 90%, from 1.5 seconds to 150 milliseconds. Complaints from partners and drivers about slow performance disappeared. Trips closed per day grew from 25,000 by 15% in the first month and kept climbing. Traffic kept rising while response times stayed at 150 milliseconds.

  • Query processing time reduced 90%, from 1.5s to 150ms
  • Closed trips per day: 25,000 to +15% in the first month, growth continued
  • Partner and driver performance complaints dropped to zero
  • Responses held up under peak load
  • Database load reduced, freeing capacity for growth on the same infrastructure
  • Automated tests and CI/CD keep 150ms response times through every release

What this means for you

Slow internal tools slow down every load and every quote. Latency optimization is not a technical nicety. It converts directly into more shipments processed per hour. The fix is not more servers. It is giving the existing ones room to breathe so growth does not punish your users.

Timeline

1 month

Tech Stack

GoPostgreSQLRedisgRPC

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