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

Icinga vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Icinga
Icinga
Stacks120
Followers97
Votes0
Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K

Icinga vs Zabbix: What are the differences?

Introduction

Icinga and Zabbix are both popular open-source monitoring solutions that help organizations monitor their IT infrastructure.

Key Differences between Icinga and Zabbix

  1. Architecture and Scalability: Icinga follows a distributed architecture, allowing for higher scalability and fault tolerance. It supports a master/satellite setup where multiple satellites can be deployed for distributed monitoring. On the other hand, Zabbix follows a centralized architecture, where a single server performs all the monitoring activities. While Zabbix can handle moderate-sized environments well, Icinga excels in large-scale deployments with multiple monitoring instances.

  2. Configuration Flexibility: Icinga provides much more flexibility in terms of configuration. It uses a flexible and extensible configuration language that allows users to define custom monitoring checks and create more complex monitoring scenarios. Zabbix, on the other hand, offers a simpler configuration approach with a user-friendly web interface, making it easier to set up for less experienced users.

  3. User Interface: When it comes to the user interface, Zabbix offers a more polished and modern-looking interface out of the box. It provides advanced visualization and graphing capabilities, making it easier to analyze monitoring data. Icinga, while functional, may require additional customization or integration with third-party tools for a more visually appealing and comprehensive user interface.

  4. Integration and Ecosystem: Icinga has strong integration capabilities with other systems and devices through its extensive ecosystem of plugins and addons. It supports a wide range of integration options, including SNMP, database monitoring, and messaging systems. Zabbix, on the other hand, has a rich ecosystem of integrations as well but may have a more limited selection compared to Icinga.

  5. Notifications and Alerting: Both Icinga and Zabbix offer notifications and alerting capabilities, allowing users to receive alerts when an issue is detected. However, Icinga provides more advanced and customizable notification options, allowing users to define complex notification workflows and escalation paths. Zabbix offers a more straightforward notification setup, which may be sufficient for simpler monitoring scenarios.

  6. Community Support and Development: Icinga has a vibrant and active community that contributes to its development and provides support to users. It has regular releases and updates, ensuring that bug fixes and new features are quickly addressed. Zabbix also has an active community but may not have the same level of widespread community support and development as Icinga.

In Summary, Icinga offers a distributed architecture with high scalability, configuration flexibility, and advanced notification options, while Zabbix provides a user-friendly interface, strong visualization capabilities, and a more polished out-of-the-box experience. Both solutions have their strengths and weaknesses, making them suitable for different monitoring requirements.

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Advice on Icinga, Zabbix

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!

796k views796k
Comments
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

Detailed Comparison

Icinga
Icinga
Zabbix
Zabbix

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.

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

-
Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Statistics
GitHub Stars
-
GitHub Stars
5.3K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
120
Stacks
684
Followers
97
Followers
981
Votes
0
Votes
66
Pros & Cons
No community feedback yet
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
Integrations
No integrations available
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com

What are some alternatives to Icinga, Zabbix?

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

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