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Optimizing a Go service that streams data from Postgres replication slots to Elasticsearch requires careful memory management and performance tuning. Key techniques include switching from encoding/json to jsoniter for faster serialization, using sync.Pool to reduce allocations in hot paths, and tuning garbage collection behavior. The challenge lies in balancing three competing forces: Elasticsearch backpressure, continuous database changes, and Go's memory allocator. By controlling allocations, optimizing JSON handling, and carefully tuning GC settings, services can maintain stable latency and memory usage under sustained high volume while preventing Postgres WAL buildup.

Golang optimizations for high‑volume services

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Nice! Go seems to be a lot of fun to work with unfortunately I don’t just like the way it looks.
I know I might receive a ton of backlash for this but
PS: This is just a personal preference. I use rust by the way.

Yes I use go and it’s really interesting

I want to work in go. haven’t used it much apart from my personal projects.