Alternatives to Cacti logo

Alternatives to Cacti

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

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.
Cacti is a tool in the Monitoring Tools category of a tech stack.

Top Alternatives to Cacti

  • Zabbix

    Zabbix

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

  • Munin

    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. ...

  • Cactus

    Cactus

    Cactus makes setting up a website look easy. Choose a template for a blog, portfolio or single page and Cactus generates all files and folders to get you on your way. ...

  • Nagios

    Nagios

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

  • Solarwinds

    Solarwinds

    Developed by network and systems engineers who know what it takes to manage today's dynamic IT environments, SolarWinds has a deep connection to the IT community. ...

  • PRTG

    PRTG

    It can monitor and classify system conditions like bandwidth usage or uptime and collect statistics from miscellaneous hosts as switches, routers, servers and other devices and applications. ...

  • Observium

    Observium

    It is a low-maintenance auto-discovering network monitoring platform supporting a wide range of device types, platforms and operating systems ...

  • 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. ...

Cacti alternatives & related posts

related Zabbix posts

Shared insights
on
Datadog
Zabbix
Centreon

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!

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Munin logo

Munin

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PnP networked resource monitoring tool that can help to answer the what just happened to kill our performance
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related Munin posts

Cactus logo

Cactus

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Static site generator for designers. Uses Python and Django templates.
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CONS OF CACTUS
    No cons available

    related Cactus posts

    Nagios logo

    Nagios

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    Complete monitoring and alerting for servers, switches, applications, and services
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    related Nagios posts

    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber | 13 upvotes 路 2.6M 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
    Solarwinds logo

    Solarwinds

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    Unlock powerful workflows, automation, and reporting
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    PROS OF SOLARWINDS
      No pros available
      CONS OF SOLARWINDS
        No cons available

        related Solarwinds posts

        PRTG logo

        PRTG

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        A powerful & easy network monitoring software
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        PROS OF PRTG
          No pros available
          CONS OF PRTG
            No cons available

            related PRTG posts

            Observium logo

            Observium

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            A network monitoring platform
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            PROS OF OBSERVIUM
            CONS OF OBSERVIUM
              No cons available

              related Observium posts

              related Grafana posts

              Conor Myhrvold
              Tech Brand Mgr, Office of CTO at Uber | 13 upvotes 路 2.6M 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
              Shared insights
              on
              Grafana
              Kibana
              at

              For our Predictive Analytics platform, we have used both Grafana and Kibana

              Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

              For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

              • Creating and organizing visualization panels
              • Templating the panels on dashboards for repetetive tasks
              • Realtime monitoring, filtering of charts based on conditions and variables
              • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
              See more