Golang optimizations for high‑volume services
4 days ago
- #Performance Optimization
- #Golang
- #Database Replication
- Building services on Postgres replication slots for low-latency search without overloading the primary database.
- Optimizing Go services for high-volume data streaming from Postgres to Elasticsearch.
- Challenges include managing unbounded streams, memory usage, and Go's garbage collector.
- JSON performance improvements by switching from encoding/json to jsoniter for faster serialization.
- Using sync.Pool to control allocations and reduce garbage collection overhead.
- Tuning garbage collection to balance throughput and latency in high-load scenarios.
- Designing a stable pipeline with bounded queues, efficient transformations, and optimized Elasticsearch batching.