For special remote read endpoints which have only data for specific
queries, it is desired to limit the number of queries sent to the
configured remote read endpoint to reduce latency and performance
overhead.
Currently all read queries are simply pushed to remote read clients.
This is fine, except for remote storage for wich it unefficient and
make query slower even if remote read is unnecessary.
So we need instead to compare the oldest timestamp in primary/local
storage with the query range lower boundary. If the oldest timestamp
is older than the mint parameter, then there is no need for remote read.
This is an optionnal behavior per remote read client.
Signed-off-by: Thibault Chataigner <t.chataigner@criteo.com>
* k8s: Support discovery of ingresses
* Move additional labels below allocation
This makes it more obvious why the additional elements are allocated.
Also fix allocation for node where we only set a single label.
* k8s: Remove port from ingress discovery
* k8s: Add comment to ingress discovery example
* Add openstack service discovery.
* Add gophercloud code for openstack service discovery.
* first changes for juliusv comments.
* add gophercloud code for floatingip.
* Add tests to openstack sd.
* Add testify suite vendor files.
* add copyright and make changes for code climate.
* Fixed typos in provider openstack.
* Renamed tenant to project in openstack sd.
* Change type of password to Secret in openstack sd.
Allow namespace discovery to be more easily extended in the future by using a struct rather than just a list.
Rename fields for kubernetes namespace discovery
Each remote write endpoint gets its own set of relabeling rules.
This is based on the (yet-to-be-merged)
https://github.com/prometheus/prometheus/pull/2419, which removes legacy
remote write implementations.
This imposes a hard limit on the number of samples ingested from the
target. This is counted after metric relabelling, to allow dropping of
problemtic metrics.
This is intended as a very blunt tool to prevent overload due to
misbehaving targets that suddenly jump in sample count (e.g. adding
a label containing email addresses).
Add metric to track how often this happens.
Fixes#2137
Introduce two new relabel actions. labeldrop, and labelkeep.
These can be used to filter the set of labels by matching regex
- labeldrop: drops all labels that match the regex
- labelkeep: drops all labels that do not match the regex
