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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Icinga vs Monit

Icinga vs Monit

OverviewDecisionsComparisonAlternatives

Overview

Icinga
Icinga
Stacks120
Followers97
Votes0
Monit
Monit
Stacks166
Followers54
Votes0

Icinga vs Monit: What are the differences?

Markdown is a lightweight markup language with plain text formatting syntax that can be converted into HTML. Below are the key differences between Icinga and Monit.

  1. Monitoring Type: Icinga is primarily used for network monitoring, system monitoring, and infrastructure monitoring, focusing on the availability and performance of services, while Monit is mainly used for monitoring the processes and system resources of Unix-based systems.

  2. Alerting Mechanism: Icinga offers a more customizable and flexible alerting mechanism, allowing users to define complex alerting rules, notifications, and escalations based on specific conditions and thresholds. In contrast, Monit provides simple alerting capabilities, sending alerts via email or other methods when predefined thresholds are breached.

  3. Configuration: Icinga uses a declarative configuration language that allows users to define monitoring objects and dependencies in configuration files, providing a more structured and organized approach to setting up monitoring. On the other hand, Monit uses a simpler configuration format with a focus on simplicity and ease of use, making it easier for beginners to set up monitoring quickly.

  4. Scalability: Icinga is more suitable for large-scale environments with multiple servers and services, offering distributed monitoring capabilities, high availability options, and support for advanced features like clustering. Monit, on the other hand, is designed for smaller-scale deployments and single-server setups, offering basic monitoring functionality without the complexity of distributed monitoring.

  5. User Interface: Icinga provides a web-based interface with features for viewing monitoring data, configuring alerts, and managing monitoring objects, making it easier for users to interact with the monitoring system. Monit, on the other hand, is configured and managed through a command-line interface, requiring users to have a stronger command-line proficiency.

  6. Community and Support: Icinga has a larger and more active community with extensive documentation, plugins, and integrations available, as well as commercial support options. Monit has a smaller community but still offers adequate documentation and support for users who require assistance.

In Summary, Icinga and Monit differ in monitoring type, alerting mechanism, configuration, scalability, user interface, and community and support, catering to different monitoring needs and environments.

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Advice on Icinga, Monit

Matthias
Matthias

Teamlead IT at NanoTemper Technologies

Jun 11, 2020

Decided
  • free open source
  • modern interface and architecture
  • large community
  • extendable I knew Nagios for decades but it was really outdated (by its architecture) at some point. That's why Icinga started first as a fork, not with Icinga2 it is completely built from scratch but backward-compatible with Nagios plugins. Now it has reached a state with which I am confident.
142k views142k
Comments
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

Icinga
Icinga
Monit
Monit

It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application.

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

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Responsive UI; Control Services Remotely; Services Monitoring modes
Statistics
Stacks
120
Stacks
166
Followers
97
Followers
54
Votes
0
Votes
0
Integrations
No integrations available
Slack
Slack
FreeBSD
FreeBSD
HipChat
HipChat
Pushover
Pushover

What are some alternatives to Icinga, 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).

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