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 OpenTelemetry

Nagios vs OpenTelemetry

OverviewComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
OpenTelemetry
OpenTelemetry
Stacks203
Followers148
Votes4

Nagios vs OpenTelemetry: What are the differences?

Key Differences between Nagios and OpenTelemetry

Nagios and OpenTelemetry are both popular monitoring tools used in the field of IT infrastructure monitoring and observability. However, there are significant differences between the two:

  1. Data Collection Approach:

    • Nagios: Nagios follows an active monitoring approach where it periodically sends active checks to monitor various aspects of infrastructure and applications.
    • OpenTelemetry: OpenTelemetry follows a passive monitoring approach where it collects and processes data passively from the applications and infrastructure using instrumentation libraries.
  2. Instrumentation Flexibility:

    • Nagios: Nagios provides limited flexibility in terms of instrumenting custom metrics and traces in applications and infrastructure.
    • OpenTelemetry: OpenTelemetry offers extensive flexibility by providing instrumentation libraries and APIs for collecting custom metrics, traces, and logs, allowing for more granular observability.
  3. Scalability and Distributed Tracing:

    • Nagios: Nagios lacks built-in support for distributed tracing which makes it challenging to trace requests across multiple services in a distributed system.
    • OpenTelemetry: OpenTelemetry comes with built-in support for distributed tracing, allowing for capturing and tracing requests across multiple services, facilitating troubleshooting and performance optimization in complex distributed architectures.
  4. Integration Ecosystem:

    • Nagios: Nagios has a well-established ecosystem with a wide range of plugins and integrations available for monitoring various technologies and systems.
    • OpenTelemetry: OpenTelemetry offers a growing ecosystem of integrations and exporters, making it easier to integrate with modern cloud-native technologies and observability platforms.
  5. Metrics and Log Monitoring:

    • Nagios: Nagios primarily focuses on metrics monitoring and alerting, with limited support for log monitoring.
    • OpenTelemetry: OpenTelemetry provides comprehensive support for both metrics and log monitoring, enabling operators to gain insights from both structured and unstructured data.
  6. Community Support and Development:

    • Nagios: Nagios has been around for a long time and has a large community, resulting in extensive community support and frequent updates and bug fixes.
    • OpenTelemetry: OpenTelemetry is a relatively newer project with a growing community, which means that while it may not have the same level of community support as Nagios, it benefits from ongoing development and innovation.

In summary, Nagios and OpenTelemetry differ in their data collection approach, flexibility, scalability, integration ecosystem, support for distributed tracing, and community support and development. OpenTelemetry's passive monitoring approach, extensive flexibility, distributed tracing support, and modern integration ecosystem make it more suitable for observability in complex distributed 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

Detailed Comparison

Nagios
Nagios
OpenTelemetry
OpenTelemetry

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

It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

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
-
GitHub Forks
38
GitHub Forks
-
Stacks
811
Stacks
203
Followers
1.1K
Followers
148
Votes
102
Votes
4
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
  • 4
    OSS

What are some alternatives to Nagios, OpenTelemetry?

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