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

Grafana vs Nagios vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs Nagios vs Zabbix: What are the differences?

Key Differences between Grafana, Nagios, and Zabbix

Grafana, Nagios, and Zabbix are popular tools used in the realm of monitoring and visualization. While Grafana focuses primarily on data visualization and analysis, Nagios and Zabbix are comprehensive monitoring systems. Below are the key differences between these three tools:

  1. Flexibility: Grafana, with its focus on data visualization, offers a highly customizable and flexible platform. It allows users to create interactive dashboards, choose from various visualization options, and integrate with different data sources easily. In contrast, Nagios and Zabbix provide predefined monitoring templates and often require more effort to customize them according to specific requirements.

  2. Monitoring Approach: Nagios is predominantly event-based and triggers notifications based on pre-defined thresholds and rules. It excels at monitoring individual hosts and services and is suited for smaller-scale environments. On the other hand, Zabbix employs a polling-based approach, actively collecting data at regular intervals from the monitored devices and providing more comprehensive monitoring capabilities. Grafana, however, does not have built-in monitoring capabilities itself and relies on integrating with other monitoring tools.

  3. Alerting and Notification: Both Nagios and Zabbix offer robust alerting and notification systems, enabling immediate responses to critical issues. Nagios allows users to configure escalations, on-call schedules, and notifications by email, SMS, etc. Zabbix, in addition to these features, also supports more advanced alerting options such as script-based actions and integrations with third-party messaging services. Grafana, being primarily a visualization tool, lacks native alerting capabilities and relies on third-party plugins or external monitoring systems to provide this functionality.

  4. Ease of Setup and Configuration: Grafana is known for its user-friendly interface and straightforward setup process. Its installation and configuration are generally considered simpler than Nagios and Zabbix. Nagios, being a complex monitoring system, may require a more involved setup and meticulous configuration. Zabbix, while also feature-rich, has a relatively easier installation process but can be more challenging to configure due to its extensive range of functionalities.

  5. Scalability and Performance: All three tools can handle monitoring in large-scale environments, but their approaches to scalability vary. Nagios, with its event-based architecture, may struggle to scale efficiently beyond a certain point. Zabbix, with its highly scalable design and ability to distribute monitoring tasks across multiple servers, can handle larger infrastructures more effectively. Grafana's scalable nature is dependent on its underlying data source and the performance capabilities of the monitoring tools it integrates with.

  6. Ecosystem and Integration: Grafana provides a rich ecosystem with many plugins and integrations available, allowing users to connect to various data sources easily. It has extensive support for popular databases, cloud platforms, and monitoring systems. Nagios and Zabbix, being comprehensive monitoring systems, offer integrations with a wide range of devices, network protocols, and third-party tools, allowing for more comprehensive monitoring coverage in diverse environments.

In summary, Grafana is a powerful visualization tool focused on customizable dashboards and data analysis, while Nagios and Zabbix are comprehensive monitoring systems with different approaches in event-based monitoring and polling-based monitoring, respectively. Each tool has its strengths and weaknesses that cater to different monitoring requirements and environments.

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Advice on Nagios, Zabbix, Grafana

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
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
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments

Detailed Comparison

Nagios
Nagios
Zabbix
Zabbix
Grafana
Grafana

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

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

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.

Monitor your entire IT infrastructure;Spot problems before they occur;Know immediately when problems arise;Share availability data with stakeholders;Detect security breaches;Plan and budget for IT upgrades;Reduce downtime and business losses
Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Statistics
GitHub Stars
57
GitHub Stars
5.3K
GitHub Stars
70.7K
GitHub Forks
38
GitHub Forks
1.1K
GitHub Forks
13.1K
Stacks
811
Stacks
684
Stacks
18.4K
Followers
1.1K
Followers
981
Followers
14.6K
Votes
102
Votes
66
Votes
415
Pros & Cons
Pros
  • 53
    It just works
  • 28
    The standard
  • 12
    Customizable
  • 8
    The Most flexible monitoring system
  • 1
    Huge stack of free checks/plugins to choose from
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
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Integrations
No integrations available
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to Nagios, Zabbix, Grafana?

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.

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

Telegraf

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

Sysdig

Sysdig

Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.

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