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. Glances vs Nagios

Glances vs Nagios

OverviewComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
Glances
Glances
Stacks5
Followers7
Votes0
GitHub Stars30.4K
Forks1.6K

Glances vs Nagios: What are the differences?

Introduction

In the realm of system monitoring tools, Glances and Nagios are two popular choices. Despite having similar goals, they have distinct features that set them apart. Below are the key differences between Glances and Nagios.

  1. Architecture: Glances is a lightweight, cross-platform monitoring tool that focuses on simplicity and ease of use, displaying real-time system information in a visually appealing way. On the other hand, Nagios is a more robust, enterprise-level monitoring system that allows for advanced configuration, customization, and scalability in monitoring large and complex IT infrastructures.

  2. Monitoring Approach: Glances primarily offers a top-down view of system performance, providing a quick overview of essential metrics such as CPU usage, memory consumption, disk I/O, and network activity. Conversely, Nagios adopts a proactive monitoring approach by running checks on predefined services, servers, and applications using plugins to ensure their availability and performance meet set thresholds.

  3. Alerting Capabilities: Glances lacks built-in alerting capabilities, meaning users must rely on external tools or scripts to set up notifications based on the data displayed. In contrast, Nagios excels in alerting and notification features, allowing users to define escalation procedures, specify contact groups, and receive alerts through various channels like email, SMS, and chat services.

  4. Extensibility: Glances is relatively limited in terms of extensibility, as it provides a predefined set of monitoring functionalities without the option for extensive customization. Nagios, on the other hand, supports a wide range of plugins, addons, and integrations, enabling users to tailor their monitoring setup to suit their specific requirements and integrate with other systems seamlessly.

  5. Community Support: Glances, being a simpler tool, has a smaller community base compared to Nagios. This difference in community size directly impacts the availability of resources, documentation, and user-contributed plugins or extensions that can enhance the monitoring experience and address specific use cases.

  6. Scalability and Enterprise Deployment: While Glances is suitable for monitoring individual systems or small environments, Nagios excels in scalability and is designed for enterprise deployments, offering features like distributed monitoring, load balancing, and high availability setups to cater to the needs of large organizations with complex infrastructure setups.

In Summary, Glances offers a user-friendly, lightweight monitoring solution with real-time system insights, while Nagios provides a robust, customizable monitoring platform with advanced alerting, extensibility, and scalability features for enterprise-level deployments.

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

Detailed Comparison

Nagios
Nagios
Glances
Glances

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

It is a cross-platform monitoring tool which aims to present a maximum of information in a minimum of space through a curses or Web based interface. It can adapt dynamically the displayed information depending on the terminal size.

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
Cross-platform; System monitoring tool; Web UI; Export
Statistics
GitHub Stars
57
GitHub Stars
30.4K
GitHub Forks
38
GitHub Forks
1.6K
Stacks
811
Stacks
5
Followers
1.1K
Followers
7
Votes
102
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
Integrations
No integrations available
Linux
Linux
Windows
Windows
FreeBSD
FreeBSD
Mac OS X
Mac OS X

What are some alternatives to Nagios, Glances?

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.

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

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