b50f9c1c84
* scrape: add label limits per scrape Add three new limits to the scrape configuration to provide some mechanism to defend against unbound number of labels and excessive label lengths. If any of these limits are broken by a sample from a scrape, the whole scrape will fail. For all of these configuration options, a zero value means no limit. The `label_limit` configuration will provide a mechanism to bound the number of labels per-scrape of a certain sample to a user defined limit. This limit will be tested against the sample labels plus the discovery labels, but it will exclude the __name__ from the count since it is a mandatory Prometheus label to which applying constraints isn't meaningful. The `label_name_length_limit` and `label_value_length_limit` will prevent having labels of excessive lengths. These limits also skip the __name__ label for the same reasons as the `label_limit` option and will also make the scrape fail if any sample has a label name/value length that exceed the predefined limits. Signed-off-by: Damien Grisonnet <dgrisonn@redhat.com> * scrape: add metrics and alert to label limits Add three gauge, one for each label limit to easily access the limit set by a certain scrape target. Also add a counter to count the number of targets that exceeded the label limits and thus were dropped. This is useful for the `PrometheusLabelLimitHit` alert that will notify the users that scraping some targets failed because they had samples exceeding the label limits defined in the scrape configuration. Signed-off-by: Damien Grisonnet <dgrisonn@redhat.com> * scrape: apply label limits to __name__ label Apply limits to the __name__ label that was previously skipped and truncate the label names and values in the error messages as they can be very very long. Signed-off-by: Damien Grisonnet <dgrisonn@redhat.com> * scrape: remove label limits gauges and refactor Remove `prometheus_target_scrape_pool_label_limit`, `prometheus_target_scrape_pool_label_name_length_limit`, and `prometheus_target_scrape_pool_label_value_length_limit` as they are not really useful since we don't have the information on the labels in it. Signed-off-by: Damien Grisonnet <dgrisonn@redhat.com> |
||
|---|---|---|
| .circleci | ||
| .github | ||
| cmd | ||
| config | ||
| console_libraries | ||
| consoles | ||
| discovery | ||
| docs | ||
| documentation | ||
| notifier | ||
| pkg | ||
| prompb | ||
| promql | ||
| rules | ||
| scrape | ||
| scripts | ||
| storage | ||
| template | ||
| tsdb | ||
| util | ||
| web | ||
| .dockerignore | ||
| .gitignore | ||
| .gitpod.yml | ||
| .golangci.yml | ||
| .promu.yml | ||
| CHANGELOG.md | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| MAINTAINERS.md | ||
| Makefile | ||
| Makefile.common | ||
| NOTICE | ||
| README.md | ||
| RELEASE.md | ||
| SECURITY.md | ||
| VERSION | ||
Prometheus
Visit prometheus.io for the full documentation, examples and guides.
Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts when specified conditions are observed.
The features that distinguish Prometheus from other metrics and monitoring systems are:
- A multi-dimensional data model (time series defined by metric name and set of key/value dimensions)
- PromQL, a powerful and flexible query language to leverage this dimensionality
- No dependency on distributed storage; single server nodes are autonomous
- An HTTP pull model for time series collection
- Pushing time series is supported via an intermediary gateway for batch jobs
- Targets are discovered via service discovery or static configuration
- Multiple modes of graphing and dashboarding support
- Support for hierarchical and horizontal federation
Architecture overview
Install
There are various ways of installing Prometheus.
Precompiled binaries
Precompiled binaries for released versions are available in the download section on prometheus.io. Using the latest production release binary is the recommended way of installing Prometheus. See the Installing chapter in the documentation for all the details.
Docker images
Docker images are available on Quay.io or Docker Hub.
You can launch a Prometheus container for trying it out with
$ docker run --name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus
Prometheus will now be reachable at http://localhost:9090/.
Building from source
To build Prometheus from source code, first ensure that have a working Go environment with version 1.14 or greater installed. You also need Node.js and Yarn installed in order to build the frontend assets.
You can directly use the go tool to download and install the prometheus
and promtool binaries into your GOPATH:
$ GO111MODULE=on go get github.com/prometheus/prometheus/cmd/...
$ prometheus --config.file=your_config.yml
However, when using go get to build Prometheus, Prometheus will expect to be able to
read its web assets from local filesystem directories under web/ui/static and
web/ui/templates. In order for these assets to be found, you will have to run Prometheus
from the root of the cloned repository. Note also that these directories do not include the
new experimental React UI unless it has been built explicitly using make assets or make build.
An example of the above configuration file can be found here.
You can also clone the repository yourself and build using make build, which will compile in
the web assets so that Prometheus can be run from anywhere:
$ mkdir -p $GOPATH/src/github.com/prometheus
$ cd $GOPATH/src/github.com/prometheus
$ git clone https://github.com/prometheus/prometheus.git
$ cd prometheus
$ make build
$ ./prometheus --config.file=your_config.yml
The Makefile provides several targets:
- build: build the
prometheusandpromtoolbinaries (includes building and compiling in web assets) - test: run the tests
- test-short: run the short tests
- format: format the source code
- vet: check the source code for common errors
- assets: build the new experimental React UI
Building the Docker image
The make docker target is designed for use in our CI system.
You can build a docker image locally with the following commands:
$ make promu
$ promu crossbuild -p linux/amd64
$ make common-docker-amd64
NB if you are on a Mac, you will need gnu-tar.
React UI Development
For more information on building, running, and developing on the new React-based UI, see the React app's README.md.
More information
- The source code is periodically indexed: Prometheus Core.
- You will find a CircleCI configuration in
.circleci/config.yml. - See the Community page for how to reach the Prometheus developers and users on various communication channels.
Contributing
Refer to CONTRIBUTING.md
License
Apache License 2.0, see LICENSE.