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Prometheus

An open-source service monitoring system and time series database, developed by SoundCloud
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What is Prometheus?

Prometheus 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 is a tool in the Monitoring Tools category of a tech stack.
Prometheus is an open source tool with 28K GitHub stars and 4.1K GitHub forks. Here’s a link to Prometheus's open source repository on GitHub

Who uses Prometheus?

Companies
391 companies reportedly use Prometheus in their tech stacks, including Uber, Slack, and DigitalOcean.

Developers
567 developers on StackShare have stated that they use Prometheus.

Prometheus Integrations

Rancher, RocketChat, Traefik, Kong, and Sensu are some of the popular tools that integrate with Prometheus. Here's a list of all 27 tools that integrate with Prometheus.

Why developers like Prometheus?

Here’s a list of reasons why companies and developers use Prometheus
Prometheus Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Prometheus in their tech stack.

Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 659.8K views
atUber TechnologiesUber Technologies
Prometheus
Prometheus
Graphite
Graphite
Grafana
Grafana
Nagios
Nagios

Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

https://eng.uber.com/m3/

(GitHub : https://github.com/m3db/m3)

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Raja Subramaniam Mahali
Raja Subramaniam Mahali
Prometheus
Prometheus
Kubernetes
Kubernetes
Sysdig
Sysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

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Joseph Irving
Joseph Irving
DevOps Engineer at uSwitch · | 4 upvotes · 31.4K views
atuSwitchuSwitch
Thanos
Thanos
Prometheus
Prometheus
Kubernetes
Kubernetes

We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

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Prometheus
Prometheus
Logstash
Logstash
nginx
nginx
OpenResty
OpenResty
Lua
Lua
Go
Go

At Kong while building an internal tool, we struggled to route metrics to Prometheus and logs to Logstash without incurring too much latency in our metrics collection.

We replaced nginx with OpenResty on the edge of our tool which allowed us to use the lua-nginx-module to run Lua code that captures metrics and records telemetry data during every request’s log phase. Our code then pushes the metrics to a local aggregator process (written in Go) which in turn exposes them in Prometheus Exposition Format for consumption by Prometheus. This solution reduced the number of components we needed to maintain and is fast thanks to NGINX and LuaJIT.

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StackShare Editors
StackShare Editors
Prometheus
Prometheus
Chef
Chef
Consul
Consul
Memcached
Memcached
Hack
Hack
Swift
Swift
Hadoop
Hadoop
Terraform
Terraform
Airflow
Airflow
Apache Spark
Apache Spark
Kubernetes
Kubernetes
gRPC
gRPC
HHVM (HipHop Virtual Machine)
HHVM (HipHop Virtual Machine)
Presto
Presto
Kotlin
Kotlin
Apache Thrift
Apache Thrift

Since the beginning, Cal Henderson has been the CTO of Slack. Earlier this year, he commented on a Quora question summarizing their current stack.

Apps
  • Web: a mix of JavaScript/ES6 and React.
  • Desktop: And Electron to ship it as a desktop application.
  • Android: a mix of Java and Kotlin.
  • iOS: written in a mix of Objective C and Swift.
Backend
  • The core application and the API written in PHP/Hack that runs on HHVM.
  • The data is stored in MySQL using Vitess.
  • Caching is done using Memcached and MCRouter.
  • The search service takes help from SolrCloud, with various Java services.
  • The messaging system uses WebSockets with many services in Java and Go.
  • Load balancing is done using HAproxy with Consul for configuration.
  • Most services talk to each other over gRPC,
  • Some Thrift and JSON-over-HTTP
  • Voice and video calling service was built in Elixir.
Data warehouse
  • Built using open source tools including Presto, Spark, Airflow, Hadoop and Kafka.
Etc
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Prometheus
Prometheus

Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack. Prometheus

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Prometheus's Features

  • 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
  • federation support coming soon

Prometheus Alternatives & Comparisons

What are some alternatives to Prometheus?
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
New Relic
New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
InfluxDB
InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
See all alternatives

Prometheus's Followers
714 developers follow Prometheus to keep up with related blogs and decisions.
Siraj Memon
Daniel Fernandez
Dmitry Kovalenko
Kaushik Samanta
Moe S3k
FELIPE FALCAO
Catherine Thompson
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