StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Monit vs Munin

Monit vs Munin

OverviewDecisionsComparisonAlternatives

Overview

Munin
Munin
Stacks71
Followers95
Votes10
GitHub Stars2.1K
Forks479
Monit
Monit
Stacks166
Followers54
Votes0

Monit vs Munin: What are the differences?

Introduction

Monit and Munin are two popular open-source monitoring tools used in the IT world to monitor and manage resources, services, and system performance. While they both serve a similar purpose, there are key differences between the two that make each of them unique in their own right.

  1. Monitoring Approach: Monit is primarily focused on monitoring individual services and processes on a system, offering real-time monitoring and automated actions based on predefined conditions. On the other hand, Munin is more geared towards monitoring system or network-wide performance statistics over time, presenting this data in a graphically rich web interface for easy analysis and troubleshooting.

  2. Resource Usage: Monit is designed to be lightweight and efficient, consuming minimal system resources while providing real-time monitoring capabilities. In contrast, Munin is known for its resource-intensive nature, as it collects and stores historical data over time to generate graphs and reports, which can lead to increased resource usage on the monitored systems.

  3. Notifications: Monit excels in providing immediate notifications and taking corrective actions when predefined thresholds are breached, ensuring quick response times to any issues that may arise. Munin, on the other hand, offers basic notification capabilities but is more focused on long-term trend analysis and historical data reporting rather than real-time alerts and remediation.

  4. Plugin Ecosystem: Munin boasts a vast array of plugins and extensions that can be easily integrated to monitor a wide range of metrics and services, providing flexibility and customization options to suit diverse monitoring needs. Monit, while capable of monitoring various services out of the box, lacks the extensive plugin ecosystem that Munin offers for extended monitoring capabilities.

  5. Graphical Interface: Munin stands out for its visually appealing and easy-to-understand web interface, presenting performance data in the form of interactive graphs and charts that make it simple for users to interpret and analyze system performance metrics. Monit, on the other hand, offers a more minimalistic and straightforward web interface focused on quick status updates and alerts, without the graphing capabilities found in Munin.

  6. Configuration Complexity: Monit is lauded for its simplicity and ease of configuration, making it suitable for users looking for a straightforward monitoring solution without the need for complex setups. In contrast, Munin can be more complex to set up and configure due to its extensive data collection and graphing capabilities, requiring more time and effort to customize and fine-tune for specific monitoring requirements.

In Summary, Monit and Munin differ in their monitoring approach, resource usage, notifications, plugin ecosystem, graphical interface, and configuration complexity, catering to different monitoring needs and preferences in the IT landscape.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Munin, Monit

Shoaib
Shoaib

Dec 23, 2019

Needs advice

Hi, I have a simple script that dynamically spawns independent processes (through bash). Which tool should I use to monitor the spawned processes assuming I have the PIDs(/pid files) of the spawned processes? Monit seems to be useful for monitoring pre-configured processes but I need something for monitoring dynamic PID/PID files. Prometheus seems to be needing HTTP endpoints. A beginner

62.7k views62.7k
Comments

Detailed Comparison

Munin
Munin
Monit
Monit

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.

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

-
Responsive UI; Control Services Remotely; Services Monitoring modes
Statistics
GitHub Stars
2.1K
GitHub Stars
-
GitHub Forks
479
GitHub Forks
-
Stacks
71
Stacks
166
Followers
95
Followers
54
Votes
10
Votes
0
Pros & Cons
Pros
  • 3
    Good defaults
  • 2
    Adheres to traditional Linux standards
  • 2
    Alerts can trigger any command line program
  • 2
    Extremely fast to install
  • 1
    Easy to write custom plugins
No community feedback yet
Integrations
No integrations available
Slack
Slack
FreeBSD
FreeBSD
HipChat
HipChat
Pushover
Pushover

What are some alternatives to Munin, Monit?

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.

Kibana

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

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.

Nagios

Nagios

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

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

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

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

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

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana