README.md: tiny updates

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Aliaksandr Valialkin 2019-09-25 23:29:37 +03:00
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@ -156,7 +156,7 @@ The label name may be arbitrary - `datacenter` is just an example. The label val
across Prometheus instances, so those time series may be filtered and grouped by this label.
It is recommended upgrading Prometheus to [v2.10.0](https://github.com/prometheus/prometheus/releases) or newer,
It is recommended upgrading Prometheus to [v2.12.0](https://github.com/prometheus/prometheus/releases) or newer,
since the previous versions may have issues with `remote_write`.
@ -527,7 +527,7 @@ A rough estimation of the required resources for ingestion path:
VictoriaMetrics stores various caches in RAM. Memory size for these caches may be limited by `-memory.allowedPercent` flag.
* CPU cores: a CPU core per 300K inserted data points per second. So, ~4 CPU cores are required for processing
the insert stream of 1M data points per second. The ingestion rate may be lower for high cardinality data.
the insert stream of 1M data points per second. The ingestion rate may be lower for high cardinality data or for time series with high number of labels.
See [this article](https://medium.com/@valyala/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893) for details.
If you see lower numbers per CPU core, then it is likely active time series info doesn't fit caches,
so you need more RAM for lowering CPU usage.