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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Icinga vs PRTG

Icinga vs PRTG

OverviewDecisionsComparisonAlternatives

Overview

Icinga
Icinga
Stacks120
Followers97
Votes0
PRTG
PRTG
Stacks56
Followers66
Votes0

Icinga vs PRTG: What are the differences?

Introduction

Icinga and PRTG are both network monitoring tools that help organizations ensure the stability and performance of their IT infrastructure. However, there are key differences between the two that make them suitable for different use cases.

  1. Architecture: Icinga is an open-source monitoring tool that follows a distributed architecture, allowing users to set up multiple monitoring nodes to handle a higher workload. PRTG, on the other hand, is a centralized monitoring solution where all monitoring data is stored in a single database.

  2. Customization: Icinga provides a high level of flexibility and customization options, allowing users to modify and extend its functionality according to their specific requirements. PRTG, while offering some customization options, is more focused on simplicity and ease of use, providing pre-configured sensors and templates for quick setup.

  3. Licensing: Icinga is licensed under the GPL (GNU General Public License), which means it is open-source and free to use. PRTG, on the other hand, has a commercial license, with a free version available for limited monitoring. Advanced features and unlimited sensors require a paid license.

  4. Scalability: Due to its distributed architecture, Icinga has better scalability compared to PRTG. Users can add multiple monitoring nodes to handle an increasing workload, making it suitable for large-scale deployments. PRTG, while capable of handling a significant number of sensors, might face limitations when dealing with extremely large networks.

  5. Integration: Icinga offers extensive integration capabilities with various third-party tools and services, including popular notification systems like Slack and PagerDuty. PRTG also provides integration options but may have limitations in terms of the range and availability of integrations.

  6. User Interface: PRTG is known for its user-friendly and intuitive web interface, making it easy for users to navigate and configure their monitoring setup. Icinga, while offering a web-based interface, may have a steeper learning curve due to its advanced customization options and configurability.

In Summary, Icinga offers a flexible and customizable monitoring solution with distributed architecture and extensive integration capabilities, while PRTG provides a simple and user-friendly centralized monitoring system with a focus on ease of use.

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Advice on Icinga, PRTG

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.
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Detailed Comparison

Icinga
Icinga
PRTG
PRTG

It monitors availability and performance, gives you simple access to relevant data and raises alerts to keep you in the loop. It was originally created as a fork of the Nagios system monitoring application.

It can monitor and classify system conditions like bandwidth usage or uptime and collect statistics from miscellaneous hosts as switches, routers, servers and other devices and applications.

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FLEXIBLE ALERTING; MULTIPLE USER INTERFACES; CLUSTER FAILOVER SOLUTION;
Statistics
Stacks
120
Stacks
56
Followers
97
Followers
66
Votes
0
Votes
0
Pros & Cons
No community feedback yet
Cons
  • 1
    Running on windows
  • 1
    Graphs are static
  • 1
    Poor search capabilities
Integrations
No integrations available
Grafana
Grafana
Slack
Slack

What are some alternatives to Icinga, PRTG?

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.

Nagios

Nagios

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

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).

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