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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Nagios vs Prometheus vs Sensu

Nagios vs Prometheus vs Sensu

OverviewDecisionsComparisonAlternatives

Overview

Nagios
Nagios
Stacks811
Followers1.1K
Votes102
GitHub Stars57
Forks38
Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Nagios vs Prometheus vs Sensu: What are the differences?

<Write Introduction here>
  1. Monitoring Protocol: Nagios primarily uses an active checking method where the Nagios server actively queries servers and devices at regular intervals to check their status. Prometheus, on the other hand, uses a pull method where the Prometheus server scrapes metrics from targeted endpoints at defined intervals. Sensu also employs a pull-based approach but allows for greater flexibility in terms of choosing the monitoring protocol.

  2. Data Storage: Nagios stores monitoring data in flat text files, which can lead to performance issues when handling large amounts of data. Prometheus stores data in a time-series database, making it more efficient for querying and analyzing data. Sensu allows users to choose different storage backends, such as Redis or InfluxDB, providing more flexibility in data storage.

  3. Scalability: Nagios can become difficult to scale horizontally due to its architecture, which may require additional effort to set up a distributed monitoring system. Prometheus is designed to be highly scalable and can effortlessly handle large-scale deployments and high-volume data collection. Sensu also offers good scalability, making it easier to manage and monitor various resources in a distributed environment.

  4. Alerting and Notification: Nagios provides basic alerting and notification features through email and SMS notifications. Prometheus includes a robust alerting manager that can send alerts via various channels like email, Slack, and PagerDuty, making it more versatile in notifying users of issues. Sensu also offers advanced alerting capabilities, allowing users to define complex alerting rules and integrate with multiple notification channels.

  5. Metrics Monitoring: Nagios is more focused on monitoring the status of various services and hosts, providing basic metrics. Prometheus specializes in metrics monitoring, offering extensive support for collecting, storing, and querying metrics from different endpoints. Sensu, like Prometheus, emphasizes metrics monitoring, allowing for detailed analysis and visualization of performance data across the infrastructure.

  6. Community and Support: Nagios has a large and established user community, providing extensive documentation and resources for troubleshooting and customization. Prometheus has also gained significant traction in the monitoring community, with active development and a growing user base. Sensu, though newer compared to Nagios and Prometheus, has a strong community backing and offers responsive support for users in need.


In Summary, Nagios, Prometheus, and Sensu differ in terms of monitoring protocol, data storage, scalability, alerting capabilities, metrics monitoring, and community support.

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Advice on Nagios, Sensu, Prometheus

Matt
Matt

Senior Software Engineering Manager at PayIt

May 3, 2021

DecidedonGrafanaGrafanaPrometheusPrometheusKubernetesKubernetes

Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

1.1M views1.1M
Comments
Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments

Detailed Comparison

Nagios
Nagios
Sensu
Sensu
Prometheus
Prometheus

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

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.

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.

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
Health checks & custom metrics; alerts & incident management; real-time inventory; auto-remediation & custom workflows; container monitoring; Kubernetes monitoring; telemetry & service health checking; multi-cloud monitoring
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
57
GitHub Stars
2.9K
GitHub Stars
61.1K
GitHub Forks
38
GitHub Forks
386
GitHub Forks
9.9K
Stacks
811
Stacks
201
Stacks
4.8K
Followers
1.1K
Followers
251
Followers
3.8K
Votes
102
Votes
56
Votes
239
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
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
Cons
  • 1
    Plugins
  • 1
    Written in Go
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
No integrations available
ServiceNow.com
ServiceNow.com
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty
Grafana
Grafana

What are some alternatives to Nagios, Sensu, Prometheus?

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.

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.

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.

Sysdig

Sysdig

Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.

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