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Graphite
Graphite

284
221
+ 1
38
Munin
Munin

52
27
+ 1
5
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Graphite vs Munin: What are the differences?

Developers describe Graphite as "A highly scalable real-time graphing system". Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand. On the other hand, Munin is detailed as "PnP networked resource monitoring tool that can help to answer the what just happened to kill our performance". Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.

Graphite and Munin can be categorized as "Monitoring" tools.

Graphite and Munin are both open source tools. It seems that Graphite with 4.58K GitHub stars and 1.2K forks on GitHub has more adoption than Munin with 1.31K GitHub stars and 381 GitHub forks.

According to the StackShare community, Graphite has a broader approval, being mentioned in 96 company stacks & 20 developers stacks; compared to Munin, which is listed in 15 company stacks and 3 developer stacks.

What is Graphite?

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

What is Munin?

Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.
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      What are some alternatives to Graphite and Munin?
      Graphene
      Graphene is a Python library for building GraphQL schemas/types fast and easily.
      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.
      Pencil
      A web application microframework for Rust
      Kibana
      Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
      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.
      See all alternatives
      Decisions about Graphite and Munin
      StackShare Editors
      StackShare Editors
      Icinga
      Icinga
      Graphite
      Graphite
      Logstash
      Logstash
      Elasticsearch
      Elasticsearch
      Grafana
      Grafana
      Kibana
      Kibana

      One size definitely doesn鈥檛 fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O鈥橰eilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company鈥檚 use cases.

      At the time, Slack used a few well-known monitoring tools since it鈥檚 Technical Operations team wasn鈥檛 large enough to build an in-house solution for all of these. Nor did the team think it鈥檚 sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack鈥檚 needs.

      On the backend, they experimented with multiple clusters in both Graphite and ELK, distributed Icinga nodes, and more. At the same time, they鈥檝e tried to build usability into Grafana that reflects the team鈥檚 mental models of the system and have found ways to make alerts from Icinga more insightful and actionable.

      See more
      Conor Myhrvold
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber | 10 upvotes 553.7K views
      atUber TechnologiesUber Technologies
      Nagios
      Nagios
      Grafana
      Grafana
      Graphite
      Graphite
      Prometheus
      Prometheus

      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鈥檚 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鈥檚 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
      Amazon CloudWatch
      Amazon CloudWatch
      PagerDuty
      PagerDuty
      Grafana
      Grafana
      Graphite
      Graphite
      StatsD
      StatsD
      Sentry
      Sentry

      A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we鈥檙e looking to migrate all of these to our internal monitoring system soon).

      See more
      Interest over time
      Reviews of Graphite and Munin
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      How developers use Graphite and Munin
      Avatar of Onezino Gabriel
      Onezino Gabriel uses GraphiteGraphite

      Utilizando computa莽茫o em nuvens e o modelo de pagar pelo uso com _graphite _n贸s conseguimos analisar todos os logs de informa莽茫o gerada pelo sistema.

      Avatar of Tongliang Liu
      Tongliang Liu uses GraphiteGraphite

      Great metrics visualization tool together with StatsD.

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