prometheus alternatives and similar packages
Based on the "Database" category.
Alternatively, view prometheus alternatives based on common mentions on social networks and blogs.
-
vitess
vitess provides servers and tools which facilitate scaling of MySQL databases for large scale web services. -
groupcache
Groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly, and command-line tools. Based on LLVM. -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
go-mysql-elasticsearch
Sync your MySQL data into Elasticsearch automatically. -
VictoriaMetrics
fast, resource-effective and scalable open source time series database. May be used as long-term remote storage for Prometheus. Supports PromQL. -
buntdb
A fast, embeddable, in-memory key/value database for Go with custom indexing and spatial support. -
xo
Generate idiomatic Go code for databases based on existing schema definitions or custom queries supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server. -
sql-migrate
Database migration tool. Allows embedding migrations into the application using go-bindata. -
immudb
immudb is a lightweight, high-speed immutable database for systems and applications written in Go. -
nutsdb
Nutsdb is a simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. -
skeema
Pure-SQL schema management system for MySQL, with support for sharding and external online schema change tools. -
ObjectBox Go Database
ObjectBox Go - a database for your Go structs/objects. Super-fast and simple. -
Bitcask
Bitcask is an embeddable, persistent and fast key-value (KV) database written in pure Go with predictable read/write performance, low latency and high throughput thanks to the bitcask on-disk layout (LSM+WAL).
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README
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
:
$ 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
prometheus
andpromtool
binaries (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
- assets: build the new experimental React UI
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
](.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.
*Note that all licence references and agreements mentioned in the prometheus README section above
are relevant to that project's source code only.