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. Munin vs Zabbix

Munin vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Munin
Munin
Stacks71
Followers95
Votes10
GitHub Stars2.1K
Forks479

Munin vs Zabbix: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Munin and Zabbix.

  1. Monitoring Capabilities: Munin primarily focuses on monitoring resources like CPU, memory, disk space, and network usage through its lightweight monitoring approach. On the other hand, Zabbix offers a centralized monitoring system capable of monitoring a wide range of aspects including network devices, applications, databases, and user-defined parameters.

  2. Scalability and Flexibility: Zabbix is designed for large-scale environments and provides excellent scalability, allowing it to monitor thousands of devices and handle high-frequency updates. Munin, on the other hand, is more suitable for smaller environments as it lacks the scalability and flexibility to handle large-scale deployments.

  3. Monitoring Agents: Zabbix requires the installation of agents on the target systems to collect data, offering more comprehensive monitoring capabilities. In contrast, Munin utilizes a simpler agentless approach by connecting remotely to the target systems, making it easier to set up and manage, but with limited monitoring capabilities.

  4. Alerting System: Zabbix provides a robust alerting system that allows users to define triggers, receive notifications via various methods (email, SMS, etc.), and configure escalations. Munin, however, does not have an in-built alerting system and relies on third-party tools or scripts for generating alerts based on predefined thresholds.

  5. Graphing and Visualization: Munin comes with a basic set of graphs and visualizations by default, which are relatively easy to understand. Zabbix, on the other hand, offers more advanced graphing and visualization options, including custom graphs, trend lines, drill-down reports, and dashboards, providing more flexibility in data analysis.

  6. Ease of Use: Munin is known for its simplicity and ease of use, making it a preferred choice for beginners or users seeking a quick and straightforward monitoring solution. Conversely, Zabbix has a steeper learning curve due to its extensive features and complexity, making it more suitable for experienced users willing to invest time in its setup and configuration.

In summary, Munin is a lightweight, easy-to-use monitoring solution with limited capabilities, mainly focused on resource monitoring, while Zabbix offers a comprehensive, scalable, and flexible monitoring system with advanced features such as agent-based monitoring, extensive alerting capabilities, and advanced graphing and visualization options.

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 Zabbix, Munin

vivek
vivek

Jun 8, 2020

Needs adviceonCentreonCentreonZabbixZabbixDatadogDatadog

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!

795k views795k
Comments

Detailed Comparison

Zabbix
Zabbix
Munin
Munin

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

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.

Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
-
Statistics
GitHub Stars
5.3K
GitHub Stars
2.1K
GitHub Forks
1.1K
GitHub Forks
479
Stacks
684
Stacks
71
Followers
981
Followers
95
Votes
66
Votes
10
Pros & Cons
Pros
  • 21
    Free
  • 9
    Alerts
  • 5
    Service/node/network discovery
  • 5
    Templates
  • 4
    Base metrics from the box
Cons
  • 5
    The UI is in PHP
  • 2
    Puppet module is sluggish
Pros
  • 3
    Good defaults
  • 2
    Alerts can trigger any command line program
  • 2
    Extremely fast to install
  • 2
    Adheres to traditional Linux standards
  • 1
    Easy to write custom plugins
Integrations
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
No integrations available

What are some alternatives to Zabbix, Munin?

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

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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