Fixing the config/config_test, the discovery/file/file_test and the
promql/promql_test tests for Windows. For most of the tests, the fix involved
correct handling of path separators. In the case of the promql tests, the
issue was related to the removal of the temporal directories used by the
storage. The issue is that the RemoveAll() call returns an error when it
tries to remove a directory which is not empty, which seems to be true due to
some kind of process that is still running after closing the storage. To fix
it I added some retries to the remove of the temporal directories.
Adding tags file from Universal Ctags to .gitignore
* 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
* Add config, HTTP Basic Auth and TLS support to the generic write path.
- Move generic write path configuration to the config file
- Factor out config.TLSConfig -> tlf.Config translation
- Support TLSConfig for generic remote storage
- Rename Run to Start, and make it non-blocking.
- Dedupe code in httputil for TLS config.
- Make remote queue metrics global.
This adds `role` field to the Kubernetes SD config, which indicates
which type of Kubernetes SD should be run.
This no longer allows discovering pods and nodes with the same SD
configuration for example.
This enables defining `blackbox_exporter` targets (which can be URLs,
because of relabeling) in a JSON file.
Not sure if this is the best approach, but current behaviour is
inconsistent (`UnmarshalYAML` does not have this check) and breaks
officially documented way to use `blackbox_exporter`.
This change deprecates the `target_groups` option in favor
of `static_configs`. The old configuration is still accepted
but prints a warning.
Configuration loading errors if both options are set.
Although they are only in examples/tests and don't affect anything, they
could be confusing (the label has been renamed in the rest of the code a
while ago).
It's actually happening in several places (and for flags, we use the
standard Go time.Duration...). This at least reduces all our
home-grown parsing to one place (in model).
nerve's registration format differs from serverset. With this commit
there is now a dedicated treecache file in util,
and two separate files for serverset and nerve.
Reference:
https://github.com/airbnb/nerve
With the blackbox exporter, the instance label will commonly
be used for things other than hostnames so remove this restriction.
https://example.com or https://example.com/probe/me are some examples.
To prevent user error, check that urls aren't provided as targets
when there's no relabelling that could potentically fix them.
Usernames are not generally considered to be secrets,
and treating them as secrets may lead to confusion
as to how secure they are. Obscuring them also makes
debugging harder.
* Support multiple masters with retries against each master as required.
* Scrape masters' metrics.
* Add role meta label for node/service/master to make it easier for relabeling.
This is with `golint -min_confidence=0.5`.
I left several lint warnings untouched because they were either
incorrect or I felt it was better not to change them at the moment.
The intended use case is where a user has tags/labels coming
from metadata in Kubernetes or EC2, and wants to make
some subset of them into target labels.
Allow scrape_configs to have an optional proxy_url option which specifies
a proxy to be used for all connections to hosts in that config.
Internally this modifies the various client functions to take a *url.URL pointer
which currently must point to an HTTP proxy (but has been left open-ended to
allow the url format to be extended to support others, such as maybe SOCKS if
needed).
This moves the concern of resolving the files relative to the config
file into the configuration loading itself.
It also fixes#921 which did not load the cert and token files relatively.
This takes the modulus of a hash of some labels.
Combined with a keep relabel action, this allows
for sharding of targets across multiple prometheus
servers.
This commit adds the honor_labels and params arguments to the scrape
config. This allows to specify query parameters used by the scrapers
and handling scraped labels with precedence.
The main purpose of this is to allow for blacklisting
of expensive metrics as a tactical option.
It could also find uses for renaming and removing labels
from federation.
The main purpose of this is to allow for blacklisting
of expensive metrics as a tactical option.
It could also find uses for renaming and removing labels
from federation.
The YAML parser ignores additional parameters on unmarshaling. This causes
frequent confusion with bad configs that pass parsing.
These changes raise errors on additional parameters.
This commits adds file based service discovery which reads target
groups from specified files. It detects changes based on file watches
and regular refreshes.
