971dafdfbe
When compacting rather than doing a read of all series in the index per label name, do many at once but only when it won't use (much) more ram than writing the special all index does. original in-memory postings: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1202383447 ns/op 158936496 B/op 1031511 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1141792706 ns/op 154453408 B/op 1093453 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1169288829 ns/op 161072336 B/op 1110021 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 1115700103 ns/op 149480472 B/op 1129180 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 1283813141 ns/op 162937800 B/op 1202771 allocs/op before: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1145195941 ns/op 131749984 B/op 834400 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1233526345 ns/op 127889416 B/op 897033 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1821942296 ns/op 131665648 B/op 914836 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 8035568665 ns/op 123811832 B/op 934312 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 71325926267 ns/op 140722648 B/op 1016824 allocs/op after: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1101429174 ns/op 129063496 B/op 832571 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1074466374 ns/op 124154888 B/op 894875 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1166510282 ns/op 128790648 B/op 912931 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 1075013071 ns/op 120570696 B/op 933511 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 1231673790 ns/op 138754288 B/op 1022791 allocs/op Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> |
||
|---|---|---|
| .circleci | ||
| .github | ||
| cmd | ||
| config | ||
| console_libraries | ||
| consoles | ||
| discovery | ||
| docs | ||
| documentation | ||
| notifier | ||
| pkg | ||
| prompb | ||
| promql | ||
| rules | ||
| scrape | ||
| scripts | ||
| storage | ||
| template | ||
| tsdb | ||
| util | ||
| vendor | ||
| web | ||
| .dockerignore | ||
| .gitignore | ||
| .golangci.yml | ||
| .promu.yml | ||
| CHANGELOG.md | ||
| code-of-conduct.md | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| fuzzit.sh | ||
| go.mod | ||
| go.sum | ||
| LICENSE | ||
| MAINTAINERS.md | ||
| Makefile | ||
| Makefile.common | ||
| NOTICE | ||
| README.md | ||
| RELEASE.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 if some condition is observed to be true.
Prometheus's main distinguishing features as compared to other monitoring systems are:
- a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
- a flexible query language to leverage this dimensionality
- no dependency on distributed storage; single server nodes are autonomous
- timeseries collection happens via a pull model over HTTP
- pushing timeseries is supported via an intermediary gateway
- 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.
Debian packages are available.
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 the source code yourself you need to have a working Go environment with version 1.13 or greater installed. You will also need to have 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:
$ 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
- docker: build a docker container for the current
HEAD
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.