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

Cacti vs Nagios vs Zabbix

OverviewDecisionsComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
Cacti
Cacti
Stacks89
Followers202
Votes10
Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K

Cacti vs Nagios vs Zabbix: What are the differences?

Introduction

Cacti, Nagios, and Zabbix are all monitoring tools used for network and infrastructure monitoring. Each tool has its own unique features and capabilities, making it suitable for different monitoring scenarios. In this markdown, we will highlight the key differences between Cacti, Nagios, and Zabbix.

  1. Architecture: Cacti is a web-based network monitoring and graphing tool that primarily focuses on the collection and display of time-series data. It uses the Simple Network Management Protocol (SNMP) and focuses on graphical representation through graph templates. Nagios, on the other hand, is primarily an event-driven monitoring system that provides status monitoring, alerting, and event handling. It uses a client-server architecture with passive checks. Zabbix is also a client-server-based monitoring tool that supports both active and passive checks. It offers a wide range of monitoring options and can collect data using SNMP, IPMI, JMX, and more.

  2. Ease of Use: Cacti is known for its user-friendly interface and simplicity in set up and management. It provides pre-built templates and easy graph creation options. Nagios, although powerful, can be more complex to set up and configure. It requires manual configuration of hosts, services, and checks. Zabbix strikes a balance between simplicity and flexibility, offering a user-friendly web interface for configuration and management.

  3. Alerting and Notification: Nagios is a highly customizable alerting system that allows users to define their own rules and thresholds for notifications. It provides multiple notification methods, such as email, SMS, and custom scripts. Cacti, on the other hand, has limited built-in alerting capabilities and may require additional plugins or scripts for notifications. Zabbix offers flexible trigger conditions for alerting and provides various notification methods like email, SMS, Slack, and PagerDuty.

  4. Scalability: Cacti is suitable for small to medium-sized environments and may face performance issues when monitoring a large number of devices. Nagios is known for its scalability and can handle thousands of hosts and services. Zabbix is designed for large-scale deployments and can efficiently monitor tens of thousands of devices.

  5. Graphing and Visualization: Cacti specializes in graphing and provides a wide variety of customizable graph templates. It offers historical data representation and can create complex graphs with multiple data sources. Nagios focuses more on status monitoring and visualizes data through alerts and status maps. Zabbix also provides comprehensive graphing capabilities, allowing users to create dynamic graphs with multiple items and hosts.

  6. Community and Ecosystem: Nagios has a large and active community with extensive documentation, plugins, and addons available. It has been in the market for a long time and has established itself as a reliable monitoring solution. Cacti also has a supportive community but may have fewer resources compared to Nagios. Zabbix has a growing community and provides a comprehensive ecosystem with extensions, templates, and integrations with other tools.

In summary, Cacti is a graphing-focused monitoring tool with a user-friendly interface, Nagios is an event-driven system known for its scalability and customization options, and Zabbix provides a balance between ease of use and flexibility with a wide range of monitoring capabilities.

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Advice on Nagios, Cacti, 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!

795k views795k
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

Nagios
Nagios
Cacti
Cacti
Zabbix
Zabbix

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

Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box.

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

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
Unlimited number of graph items can be defined for each graph optionally utilizing CDEFs or data sources from within cacti.;Automatic grouping of GPRINT graph items to AREA, STACK, and LINE[1-3] to allow for quick re-sequencing of graph items.;Auto-Padding support to make sure graph legend text lines up.;Graph data can be manipulated using the CDEF math functions built into RRDTool. These CDEF functions can be defined in cacti and can be used globally on each graph.;Data sources can be created that utilize RRDTool's "create" and "update" functions. Each data source can be used to gather local or remote data and placed on a graph.
Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
Statistics
GitHub Stars
57
GitHub Stars
-
GitHub Stars
5.3K
GitHub Forks
38
GitHub Forks
-
GitHub Forks
1.1K
Stacks
811
Stacks
89
Stacks
684
Followers
1.1K
Followers
202
Followers
981
Votes
102
Votes
10
Votes
66
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
  • 3
    Rrdtool based
  • 3
    Free
  • 2
    Fast poller
  • 1
    Graphs from snmp
  • 1
    Graphs from language independent scripts
Pros
  • 21
    Free
  • 9
    Alerts
  • 5
    Templates
  • 5
    Service/node/network discovery
  • 4
    Base metrics from the box
Cons
  • 5
    The UI is in PHP
  • 2
    Puppet module is sluggish
Integrations
No integrations available
RRDtool
RRDtool
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 Nagios, Cacti, 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.

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.

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