* app/vmagent: allow vm proto for kafka consumer and producer
it should reduce network usage up to 50%.
According to benchmarks without any encoding at kafka topic, it reduces traffic up to 50%.
With enabled zstd at kafka topic, it shows no diffence in traffic. So it
doesn't make much sense to use it.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1225
* mention eb61a7dd68b834b08d01727a918f207700348ada at changelog
* app/vmagent: bumps kafka lib version
it allows compiling vmagent for arm64 machines
fixes https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2271
* mention d19b1a888248c96cfd7ccee00ba6f596d89be1d7 at change log
* app/vmagent: adds natural concurrency for kafka consumer
it should improve performance for data consumption
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1957
* mention change 0c143bb22ca2e7e0b7eec9bc84a94ee2b41626ca
* Update app/vmagent/kafka/consumer.go
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
* Update app/vmagent/kafka/consumer_cgo.go
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
---------
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
* vmalert: support concurrent reading from object storage
Config reading from GCS or S3 can be slow if object storage
contains a big number of files. Object storages are usually
fast for downloading and are slow for individual operations.
If there would be thousands of files to read, vmalert could
spend significant time for retrieving those because it is
done sequentially.
The change introduces ability to read configs from object
storage concurrently. By default, both GCS and S3 are now
read with 50 concurrent readers. This significantly reduces
the load time:
* loading 500 files with concurrency=1 takes 27s
* loading 500 files with concurrency=50 takes <1s
* vmalert: add note to Changelog
* vmalert: cleanup
* vmalert: use ticker properly
* app/vmalert: improve status reporting during config loading
* vmalert: support concurrent reading from object storage
Config reading from GCS or S3 can be slow if object storage
contains a big number of files. Object storages are usually
fast for downloading and are slow for individual operations.
If there would be thousands of files to read, vmalert could
spend significant time for retrieving those because it is
done sequentially.
The change introduces ability to read configs from object
storage concurrently. By default, both GCS and S3 are now
read with 50 concurrent readers. This significantly reduces
the load time:
* loading 500 files with concurrency=1 takes 27s
* loading 500 files with concurrency=50 takes <1s
* app/vmalert: make linter happy
* dashboards/cluser: use `quantile` since `median` isn't supported by PromQL
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* dashboards/*: add `restarts` annotation to show when there were restarts
The cluster's annotation query is aggregated `by job`,
while vmagent/vmalert are aggregated `by job, instance`.
This is because cluster dashboard can contains too many instances
and annotation could become too noisy.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* dashboards/*: support instance filter in Version annotation
Signed-off-by: hagen1778 <roman@victoriametrics.com>
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
