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. Ganglia vs Hund vs Nagios

Ganglia vs Hund vs Nagios

OverviewDecisionsComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
Ganglia
Ganglia
Stacks27
Followers88
Votes0
Hund
Hund
Stacks8
Followers10
Votes0

Ganglia vs Hund vs Nagios: What are the differences?

# Introduction

Key differences between Ganglia, Hund, and Nagios are outlined below:

1. **Monitoring Focus**: Ganglia focuses on cluster monitoring and performance analysis, whereas Hund is more centered around monitoring infrastructure and applications. Nagios, on the other hand, is known for its versatile monitoring capabilities across various systems and services.

2. **Architecture**: Ganglia utilizes a hierarchical architecture with clusters of monitoring nodes, while Hund follows a multi-agent architecture for gathering data from different sources. Nagios employs a centralized server that connects with distributed monitoring agents to collect information.

3. **Alerting System**: Ganglia lacks a built-in alerting system and is primarily used for visualizing data. In contrast, both Hund and Nagios offer robust alerting mechanisms, allowing users to set up notifications based on predefined thresholds and conditions for proactive monitoring.

4. **Scalability**: While Ganglia is well-suited for large-scale distributed systems due to its scalable design, Hund is more agile and lightweight, making it suitable for smaller setups and quick deployments. Nagios, with its plugin-based architecture, can be scaled vertically and horizontally to accommodate growing monitoring needs.

5. **Ease of Use**: Ganglia is known for its simplicity and ease of use in setting up basic monitoring for clusters. Hund offers a user-friendly interface and straightforward configuration process for monitoring infrastructure. Nagios, although powerful, has a steeper learning curve and requires more technical expertise to configure and manage effectively.

6. **Community Support**: Ganglia has a strong user community focused on cluster computing and performance monitoring. Hund benefits from active development and community support for enhancing monitoring functionalities. Nagios boasts a large community of users and contributors offering a wide range of plugins and extensions for custom monitoring solutions.

In Summary, Ganglia, Hund, and Nagios differ in monitoring focus, architecture, alerting system, scalability, ease of use, and community support, catering to distinct monitoring needs and preferences in various environments.

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 Nagios, Ganglia, Hund

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
Ganglia
Ganglia
Hund
Hund

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

It is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters.

Monitor services and keep your audience informed of status changes with an automated hosted status page.

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
-
Native monitoring service supporting IPv6 with checks for UDP, TCP, HTTP/S, ICMP, and DNS;Integrations for both infrastructure monitoring and audience notifications; Automatically create status issues when or before the problem occurs; Historical uptime performance with metrics; Complete style and domain white-labeling; Enabling HTTPS on a custom domain is instant, free, and automatic; Globally distributed;
Statistics
GitHub Stars
57
GitHub Stars
-
GitHub Stars
-
GitHub Forks
38
GitHub Forks
-
GitHub Forks
-
Stacks
811
Stacks
27
Stacks
8
Followers
1.1K
Followers
88
Followers
10
Votes
102
Votes
0
Votes
0
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
No community feedback yet
No community feedback yet
Integrations
No integrations availableNo integrations available
Amazon CloudWatch
Amazon CloudWatch
New Relic
New Relic
Slack
Slack
updown.io
updown.io
PagerDuty
PagerDuty
Amazon SNS
Amazon SNS
UptimeRobot
UptimeRobot
Pingdom
Pingdom

What are some alternatives to Nagios, Ganglia, Hund?

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

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.

StatusPage.io

StatusPage.io

The #1 status and incident communication tool. Use Statuspage to build trust with every incident.

Cachet

Cachet

Cachet is an open source status page system written in PHP, using the Laravel framework.

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.

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