Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Prometheus | 50,808 | 911 | 2 days ago | 748 | November 15, 2023 | 950 | apache-2.0 | Go | ||
The Prometheus monitoring system and time series database. | ||||||||||
Victoriametrics | 9,822 | 9 | 15 hours ago | 580 | November 16, 2023 | 849 | apache-2.0 | Go | ||
VictoriaMetrics: fast, cost-effective monitoring solution and time series database | ||||||||||
Bosun | 3,359 | 3 | 5 months ago | 11 | May 13, 2021 | 9 | mit | Go | ||
Time Series Alerting Framework | ||||||||||
Lindb | 2,744 | 1 | 14 days ago | 14 | August 29, 2023 | 4 | apache-2.0 | Go | ||
LinDB is a scalable, high performance, high availability distributed time series database. | ||||||||||
Kapacitor | 2,248 | 19 | 7 | 7 days ago | 177 | October 20, 2023 | 826 | mit | Go | |
Open source framework for processing, monitoring, and alerting on time series data | ||||||||||
Scouter | 2,004 | 2 | 2 | 25 days ago | 27 | May 29, 2023 | 199 | other | Java | |
Scouter is an open source APM (Application Performance Management) tool. | ||||||||||
Dockerjenkins_tutorial | 693 | 4 years ago | 6 | apache-2.0 | Shell | |||||
A repository for items learned in my Getting Started with Jenkins and Docker tutorial series | ||||||||||
Kvass | 544 | a year ago | 25 | July 05, 2022 | 22 | apache-2.0 | Go | |||
Kvass is a Prometheus horizontal auto-scaling solution , which uses Sidecar to generate special config file only containes part of targets assigned from Coordinator for every Prometheus shard. | ||||||||||
Binjr | 243 | 7 | 11 days ago | 46 | November 07, 2023 | 9 | apache-2.0 | Java | ||
A Time Series Data Browser | ||||||||||
Kenshin | 202 | 6 years ago | 2 | apache-2.0 | Python | |||||
Kenshin: A time-series database alternative to Graphite Whisper with 40x improvement in IOPS |
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:
There are various ways of installing Prometheus.
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 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/.
To build Prometheus from source code, You need:
Start by cloning the repository:
git clone https://github.com/prometheus/prometheus.git
cd prometheus
You can use the go
tool to build and install the prometheus
and promtool
binaries into your GOPATH
:
GO111MODULE=on go install github.com/prometheus/prometheus/cmd/...
prometheus --config.file=your_config.yml
However, when using go install
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
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 build using make build
, which will compile in the web assets so that
Prometheus can be run from anywhere:
make build
./prometheus --config.file=your_config.yml
The Makefile provides several targets:
prometheus
and promtool
binaries (includes building and compiling in web assets)Prometheus is bundled with many service discovery plugins. When building Prometheus from source, you can edit the plugins.yml file to disable some service discoveries. The file is a yaml-formated list of go import path that will be built into the Prometheus binary.
After you have changed the file, you
need to run make build
again.
If you are using another method to compile Prometheus, make plugins
will
generate the plugins file accordingly.
If you add out-of-tree plugins, which we do not endorse at the moment,
additional steps might be needed to adjust the go.mod
and go.sum
files. As
always, be extra careful when loading third party code.
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 npm_licenses
make common-docker-amd64
We are publishing our Remote Write protobuf independently at buf.build.
You can use that as a library:
go get go.buf.build/protocolbuffers/go/prometheus/prometheus
This is experimental.
In order to comply with go mod rules, Prometheus release number do not exactly match Go module releases. For the Prometheus v2.y.z releases, we are publishing equivalent v0.y.z tags.
Therefore, a user that would want to use Prometheus v2.35.0 as a library could do:
go get github.com/prometheus/[email protected]
This solution makes it clear that we might break our internal Go APIs between minor user-facing releases, as breaking changes are allowed in major version zero.
For more information on building, running, and developing on the React-based UI, see the React app's README.md.
Refer to CONTRIBUTING.md
Apache License 2.0, see LICENSE.