On 04 Mar 14:09, Dhruv Patel wrote:
> Hi Folks,
>   We are seeing an issue in our current Prometheus Setup where we are not 
> able to ingest beyond 22 million metrics/min. We have run several Load Test 
> at 25 Million, 29 Million and 35 Million but the ingestion rate remains 
> constant around the same 22 million metrics/min. Moreover, we are also 
> seeing that our CPU Usage is around 70% and have more than 50% memory 
> available memory. Looking at this it feels like we are not hitting resource 
> limitations but something to do with lock contention.
> 
> *Prometheus Version:* 2.9.1

Your Prometheus version is pretty old (2019). Could you run your benchmarks
again with a recent release?

Thanks

> *Host Shape:* x7-enclave-104 (It is a bare metal host with 104 processor 
> units). More info can be obtained in below screenshots
> *Memory Info: *
>                        total        used        free         shared  
> buff/cache   available
> Mem:           754G         88G        528G         67M        136G        
> 719G
> Swap:          1.0G           0B           1.0G
> Total:           755G          88G        529G
> 
> We also ran some profiling during our load test setup at 20Million, 22 
> Million and 25 Million and have seen an increase in time taken taken for 
> running runtime.mallocgc which leads to an increased usage in 
> runtime.futex. Some how we are not able to figure out what could be the 
> issue of the lock contention. I have attached our profiling results at 
> different load test levels if thats any useful. Any ideas on what could be 
> causing the high time taken in runtime malloc gc?
> 
> 
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-- 
Julien Pivotto
@roidelapluie

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