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Prometheus
Prometheus

998
714
+ 1
183
Shinken
Shinken

12
15
+ 1
0
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Prometheus vs Shinken: What are the differences?

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

What is Shinken? Nagios compatible monitoring framework, written in Python. Shinken's main goal is to give users a flexible architecture for their monitoring system that is designed to scale to large environments. Shinken is backwards-compatible with the Nagios configuration standard and plugins. It works on any operating system and architecture that supports Python, which includes Windows, GNU/Linux and FreeBSD.

Prometheus and Shinken belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Prometheus 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

On the other hand, Shinken provides the following key features:

  • Easy to install : install is mainly done with pip but some packages are available (deb / rpm) and we are planning to provide nightly build
  • Easy for new users : once installed, Shinken provide a simple command line interface to install new module and packs
  • Easy to migrate from Nagios : we want Nagios configuration and plugins to work in Shinken so that it is a “in place” replacement

Prometheus and Shinken are both open source tools. Prometheus with 24.6K GitHub stars and 3.49K forks on GitHub appears to be more popular than Shinken with 1.08K GitHub stars and 354 GitHub forks.

According to the StackShare community, Prometheus has a broader approval, being mentioned in 235 company stacks & 84 developers stacks; compared to Shinken, which is listed in 3 company stacks and 3 developer stacks.

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.

What is Shinken?

Shinken's main goal is to give users a flexible architecture for their monitoring system that is designed to scale to large environments. Shinken is backwards-compatible with the Nagios configuration standard and plugins. It works on any operating system and architecture that supports Python, which includes Windows, GNU/Linux and FreeBSD.
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Why do developers choose Prometheus?
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      What are some alternatives to Prometheus and Shinken?
      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
      Decisions about Prometheus and Shinken
      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.

      See more
      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)

      See more
      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.

      See more
      Interest over time
      Reviews of Prometheus and Shinken
      No reviews found
      How developers use Prometheus and Shinken
      Avatar of Scrayos UG (haftungsbeschränkt)
      Scrayos UG (haftungsbeschränkt) uses PrometheusPrometheus

      We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.

      Avatar of Tom Staijen
      Tom Staijen uses PrometheusPrometheus

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

      Avatar of HyVive
      HyVive uses PrometheusPrometheus

      We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

      Avatar of Bùi Thanh
      Bùi Thanh uses PrometheusPrometheus
      • Simple operation and easy to deploy.
      Avatar of Roy Olsen
      Roy Olsen uses PrometheusPrometheus

      Predictive monitoring.

      How much does Prometheus cost?
      How much does Shinken cost?
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