Alternatives to Munin logo

Alternatives to Munin

Cacti, Zabbix, Nagios, Ganglia, and collectd are the most popular alternatives and competitors to Munin.
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What is Munin and what are its top alternatives?

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.
Munin is a tool in the Monitoring Tools category of a tech stack.
Munin is an open source tool with 1.6K GitHub stars and 419 GitHub forks. Here’s a link to Munin's open source repository on GitHub

Top Alternatives to Munin

  • Cacti

    Cacti

    Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box. ...

  • Zabbix

    Zabbix

    Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics. ...

  • Nagios

    Nagios

    Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License. ...

  • Ganglia

    Ganglia

    It is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. ...

  • collectd

    collectd

    collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too. ...

  • Monit

    Monit

    It can monitor and manage distributed computer systems, conduct automatic maintenance and repair and execute meaningful causal actions in error situations. ...

  • Grafana

    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. ...

  • Prometheus

    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. ...

Munin alternatives & related posts

Cacti logo

Cacti

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Cacti stores all of the necessary information to create graphs and populate them with data in a MySQL...
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PROS OF CACTI
  • 3
    Rrdtool based
  • 3
    Free
  • 2
    Fast poller
  • 1
    Graphs from snmp
  • 1
    Graphs from language independent scripts
CONS OF CACTI
    Be the first to leave a con

    related Cacti posts

    Zabbix logo

    Zabbix

    541
    767
    58
    Track, record, alert and visualize performance and availability of IT resources
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    PROS OF ZABBIX
    • 16
      Free
    • 7
      Alerts
    • 5
      Service/node/network discovery
    • 4
      Base metrics from the box
    • 4
      Templates
    • 3
      Multi-dashboards
    • 3
      SMS/Email/Messenger alerts
    • 2
      Support proxies (for monitoring remote branches)
    • 2
      Supports Graphs ans screens
    • 2
      Grafana plugin available
    • 1
      Perform website checking (response time, loading, ...)
    • 1
      Supports large variety of Operating Systems
    • 1
      Supports JMX (Java, Tomcat, Jboss, ...)
    • 1
      Open source
    • 1
      API available for creating own apps
    • 1
      Templates free available (Zabbix Share)
    • 1
      Works with multiple databases
    • 1
      Advanced integrations
    • 1
      Supports multiple protocols/agents
    • 1
      Complete Logs Report
    CONS OF ZABBIX
    • 5
      The UI is in PHP
    • 2
      Puppet module is sluggish

    related Zabbix posts

    Shared insights
    on
    DatadogDatadogZabbixZabbixCentreonCentreon

    My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

    See more
    Nagios logo

    Nagios

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    Complete monitoring and alerting for servers, switches, applications, and services
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    PROS OF NAGIOS
    • 53
      It just works
    • 28
      The standard
    • 12
      Customizable
    • 8
      The Most flexible monitoring system
    • 1
      Huge stack of free checks/plugins to choose from
    CONS OF NAGIOS
      Be the first to leave a con

      related Nagios posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 3M views

      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
      Ganglia logo

      Ganglia

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      Scalable distributed monitoring system
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      PROS OF GANGLIA
        Be the first to leave a pro
        CONS OF GANGLIA
          Be the first to leave a con

          related Ganglia posts

          collectd logo

          collectd

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          3
          System and applications metrics collector
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          PROS OF COLLECTD
          • 1
            Open Source
          • 1
            KISS
          • 1
            Modular, plugins
          CONS OF COLLECTD
            Be the first to leave a con

            related collectd posts

            Łukasz Korecki
            CTO & Co-founder at EnjoyHQ · | 7 upvotes · 251.8K views

            We use collectd because of it's low footprint and great capabilities. We use it to monitor our Google Compute Engine machines. More interestingly we setup collectd as StatsD replacement - all our Clojure services push application-level metrics using our own metrics library and collectd pushes them to Stackdriver

            See more
            Monit logo

            Monit

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            A free, open-source process supervision tool
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            PROS OF MONIT
              Be the first to leave a pro
              CONS OF MONIT
                Be the first to leave a con

                related Monit posts

                Grafana logo

                Grafana

                11.4K
                9K
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                Open source Graphite & InfluxDB Dashboard and Graph Editor
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                PROS OF GRAFANA
                • 84
                  Beautiful
                • 67
                  Graphs are interactive
                • 56
                  Free
                • 55
                  Easy
                • 33
                  Nicer than the Graphite web interface
                • 24
                  Many integrations
                • 16
                  Can build dashboards
                • 10
                  Easy to specify time window
                • 9
                  Dashboards contain number tiles
                • 8
                  Can collaborate on dashboards
                • 5
                  Open Source
                • 5
                  Click and drag to zoom in
                • 5
                  Integration with InfluxDB
                • 4
                  Threshold limits in graphs
                • 4
                  Authentification and users management
                • 3
                  Simple and native support to Prometheus
                • 3
                  It is open to cloud watch and many database
                • 2
                  Great community support
                • 2
                  Alerts
                • 2
                  You can visualize real time data to put alerts
                • 2
                  You can use this for development to check memcache
                • 0
                  Grapsh as code
                • 0
                  Plugin visualizationa
                CONS OF GRAFANA
                  Be the first to leave a con

                  related Grafana posts

                  Conor Myhrvold
                  Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 3M views

                  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
                  Matt Menzenski
                  Senior Software Engineering Manager at PayIt · | 13 upvotes · 111.9K views

                  Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

                  See more
                  Prometheus logo

                  Prometheus

                  2.6K
                  3K
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                  An open-source service monitoring system and time series database, developed by SoundCloud
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                  3K
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                  PROS OF PROMETHEUS
                  • 46
                    Powerful easy to use monitoring
                  • 38
                    Flexible query language
                  • 32
                    Dimensional data model
                  • 27
                    Alerts
                  • 23
                    Active and responsive community
                  • 21
                    Extensive integrations
                  • 19
                    Easy to setup
                  • 12
                    Beautiful Model and Query language
                  • 7
                    Easy to extend
                  • 6
                    Nice
                  • 3
                    Written in Go
                  • 2
                    Good for experimentation
                  • 1
                    Easy for monitoring
                  CONS OF PROMETHEUS
                  • 12
                    Just for metrics
                  • 6
                    Bad UI
                  • 6
                    Needs monitoring to access metrics endpoints
                  • 4
                    Not easy to configure and use
                  • 3
                    Supports only active agents
                  • 2
                    Written in Go
                  • 2
                    Requires multiple applications and tools
                  • 2
                    TLS is quite difficult to understand

                  related Prometheus posts

                  Conor Myhrvold
                  Tech Brand Mgr, Office of CTO at Uber · | 14 upvotes · 3M views

                  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
                  Matt Menzenski
                  Senior Software Engineering Manager at PayIt · | 13 upvotes · 111.9K views

                  Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

                  See more