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[Q] Why one of the 8 go-carbon nodes in cluster is experience too much read load on CPU while others are normal? #507
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Hi @nadeem1701 Different load means that read or write load is skewed somehow, and usually that happens because of read and write configuration (i.e. your relay and graphite-web) and not go-carbon itself. Are you sure that node 7 is participating in reads coming from graphite web? Could you please share (anonimized) config for both your relay and graphite-web? |
Ah, I misread graph. Node 7 almost getting no traffic and node 2 is overloaded. Well, default graphite sharding is not really uniform, it's better to use jump hash for that. But please note that graphite-web do not support jump hash directly, you'll need to connect graphite-web to carbonservers (poprt 8080) on go-carbon using CLUSTER_SERVERS then. |
Thank you @deniszh for your very quick response. The metric values in the legend are the last values at a given time, so we cannot say that Node#7 is getting the least/no traffic. gets a relatively fair amount of traffic (cyan-colored line). We do not use carbonserver to fetch metrics from the cluster. We have graphite-webapp running on all worker nodes and graphite-webapp with relay configurations on relay-nodes. We can way that we use go-carbon to write metrics and graphite-webapp to read them. If Python based webapp was causing read load on CPU, it could have been understandable. In this case, go -carbon is stressing CPU with READ. We use fnv1a for hashing and did not expect this much imbalance. relay-configs: Graphite-web |
Hi @nadeem1701 |
@nadeem1701 : ah, got it. Is main graphite-web has same config as you post above? |
Yes. the graphite-web configs shared earlier are relay-graphite-web's. It queries the graphite-web running on all 8 worker nodes and returns collected metrics. |
if local graphite-web share same set of IPs I think you need to set |
We have a carbon-graphite cluster with 2 carbon-c-relays and 8 go-carbon nodes. Recently, we are noticing alarms for high CPU load on one of the worker nodes. Upon investigation. Upon investigation, we found that go-carbon is putting too much I/O read load. It is having read load approximately equivalent to the other 7 together.
It is to be noted that we do not use go-carbon to fetch the metrics from the cluster. We use graphite-app (python version) for this purpose. It is not causing the IO issue as we have done per-process CPU analysis.
I need help identifying RCA for this abnormality in that one of the worker nodes with the same HW and SW configuration behaves differently.
go-carbon version: 0.14.0
graphite-webapp: 1.2.0
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