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Load balancing and performance tuning for an existing API
21

Servers connected
to the system

120

Average heavy requests
per second

300%

Performance increased

Challenge
With existing servers down twice a week under increasing load, there was a need to change the infrastructure or even rewrite the service.
Result
After new modules were developed and connected, high load can no longer ruin infrastructure. Average response time decreased. Live load monitoring, configuring and requests throttling of the whole system are now allowed.
Roadmap
  • To learn existing infrastructure: reverse engineering with no docs or assistance.
  • Find root cause of server's downs: old DB layer cannot handle too many concurrent requests.
  • Existing database infrastructure maintenance.
  • Band-aid solution: inject load balancing into main entry point and limit requests density based on subscription type.
  • Long-term solution: design a three-layer data storage (archive, operative and fast-access).
  • Migrate all databases to new data structures.
  • Isolate common business logic into an API and replace existing code with API calls.
  • Benchmark performance, develop load monitoring tools.

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Dmitrii / CTO
Dmitrii
CTO

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