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. Nagios vs Telegraf

Nagios vs Telegraf

OverviewDecisionsComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
Telegraf
Telegraf
Stacks289
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K

Nagios vs Telegraf: What are the differences?

Introduction:

Nagios and Telegraf are two popular monitoring tools used in the IT industry. While both tools serve the purpose of monitoring, there are some key differences between them.

  1. Scalability: Nagios is known for its extensive scalability, allowing it to monitor a large number of hosts and services effectively. On the other hand, Telegraf provides scalability through its plugin-based architecture, making it easier to add new monitoring capabilities as per requirements.

  2. Data Collection: Nagios primarily focuses on monitoring the status and availability of hosts and services using active checks. In contrast, Telegraf is designed for collecting a wide range of system and application metrics from various sources, including databases, APIs, and even IoT devices.

  3. Flexibility: Nagios offers extensive customization options through its configuration files, allowing users to define complex monitoring scenarios and notifications. However, Telegraf provides greater flexibility by supporting multiple output plugins, enabling seamless integration with various third-party monitoring systems and databases.

  4. Ease of Use: Nagios has a steeper learning curve due to its configuration-based approach, requiring users to have a solid understanding of its syntax and concepts. In comparison, Telegraf offers a streamlined experience with its easy-to-use configuration files, making it more accessible for both beginners and experienced users.

  5. Community Support: Nagios has a large and active community that has been contributing to its development for years. This community provides a wealth of resources, including plugins and addons, making it easier to extend Nagios' functionality. Telegraf, although a newer tool, also has a growing community with increasing support and plugin availability.

  6. Compatibility: Nagios is compatible with a wide range of operating systems, making it suitable for diverse IT environments. Telegraf, on the other hand, is designed to be highly compatible with various databases, monitoring systems, and cloud platforms, providing seamless integration options for different use cases.

In summary, Nagios offers extensive scalability, customization, and community support, while Telegraf focuses on data collection, flexibility, ease of use, and compatibility with various systems.

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, Telegraf

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
Telegraf
Telegraf

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

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.

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
-
Statistics
GitHub Stars
57
GitHub Stars
16.4K
GitHub Forks
38
GitHub Forks
5.7K
Stacks
811
Stacks
289
Followers
1.1K
Followers
321
Votes
102
Votes
16
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
  • 5
    One agent can work as multiple exporter with min hndlng
  • 5
    Cohesioned stack for monitoring
  • 2
    Metrics
  • 2
    Open Source
  • 1
    Supports custom plugins in any language

What are some alternatives to Nagios, Telegraf?

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