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docs/Troubleshooting.md: refer to capacity planning docs

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Aliaksandr Valialkin 2022-06-30 14:59:52 +03:00
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@ -134,7 +134,7 @@ There are the following most commons reasons for slow data ingestion in Victoria
according to the following recommendations: according to the following recommendations:
- 50% of free CPU - 50% of free CPU
- 30% of free memory - 50% of free memory
- 20% of free disk space - 20% of free disk space
If VictoriaMetrics components have lower amounts of free resources, then this may lead If VictoriaMetrics components have lower amounts of free resources, then this may lead
@ -223,8 +223,10 @@ There are the following most common sources of out of memory (aka OOM) crashes i
3. Lack of free memory for processing workload spikes. If VictoriaMetrics components use almost all the available memory 3. Lack of free memory for processing workload spikes. If VictoriaMetrics components use almost all the available memory
under the current workload, then it is recommended migrating to a host with bigger amounts of memory under the current workload, then it is recommended migrating to a host with bigger amounts of memory
in order to protect from possible OOM crashes on workload spikes. It is recommended to have at least 30% in order to protect from possible OOM crashes on workload spikes. It is recommended to have at least 50%
of free memory for graceful handling of possible workload spikes. of free memory for graceful handling of possible workload spikes.
See [capacity planning for single-node VictoriaMetrics](https://docs.victoriametrics.com/#capacity-planning)
and [capacity planning for cluster version of VictoriaMetrics](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#capacity-planning).
## Cluster instability ## Cluster instability