#Performance
Performance engineering optimises system throughput, latency, and resource utilisation. Articles cover Spanner query tuning, gRPC vs. GraphQL benchmarking, Go memory management, and the profiling and measurement practices that turn performance intuition into data-driven improvements.
2 posts tagged with performance. ← All posts
Spanner partitions by primary-key range. A monotonically-increasing PK like a timestamp or UUID-v1 funnels all writes to one server. The fix changes everything from your sequence strategy to your tenant model.
The Picnic social platform served 1M+ users across a graph of Go microservices behind a GraphQL gateway. The latency win came from a counter-intuitive move: fewer services, tighter contracts.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.