I am currently using simple scalable deployment mode ( 3 reads, 6 writes, Helm Chart version: 3.7.0 ) for my logging system. As I have to ingest around 2TB data per day in Loki, the search performance is not sufficient (Summary.BytesProcessedPerSecond 409 MB) for production.
I am currently using simple scalable deployment mode ( 3 reads, 6 writes, Helm Chart version: 3.7.0 ) for my logging system. As I have to ingest around 2TB data per day in Loki, the search performance is not sufficient (Summary.BytesProcessedPerSecond 409 MB) for production.
I’ve read blog posts “How to improve Loki Performance”(https://community.grafana.com/t/how-to-improve-loki-performance/42800) and was tried to follow the step in the doc (https://grafana.com/docs/loki/latest/configuration/query-frontend/), I can successfully run a query-frontend pod, but failed in connecting to the Loki read pods.
Besides, according to the Architecture from the doc (https://grafana.com/docs/loki/latest/fundamentals/architecture/deployment-modes/), query frontend seems to be part of the read pods.
So, my questions are, how to enable the query frontend in my case? Or only distributed deployment mode achieves the goal?
Here’s my config.yaml
Thanks!