What is Icinga and what are its top alternatives?
Icinga is an open-source monitoring and alerting tool that allows users to keep an eye on their IT infrastructure's health and performance. Its key features include advanced monitoring capabilities, support for various monitoring protocols, customizable dashboards, reporting tools, and integration with other systems like Grafana. However, some limitations of Icinga include a steep learning curve for beginners and potential complexity in setting up and configuring.
Nagios Core: Nagios Core is a popular open-source monitoring tool that offers monitoring capabilities for IT infrastructure. Key features include flexible notification options, plugin extensions, and strong community support. Pros include a large user community and extensive plugin offerings, while cons include a slightly outdated user interface.
Zabbix: Zabbix is an enterprise-level monitoring solution that provides network monitoring, alerting, and visualization features. Its key features include automatic discovery, flexible alerting, and a user-friendly web interface. Pros of Zabbix include scalability and ease of use, while cons include a steep learning curve for beginners.
Prometheus: Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalabilty. Key features include a multi-dimensional data model, flexible query language, and powerful alerting capabilities. Pros of Prometheus include a strong focus on metrics and dynamic service discovery, while cons include a lack of built-in visualization features.
SolarWinds Network Performance Monitor: SolarWinds NPM is a comprehensive network monitoring tool that offers network performance and availability monitoring. Key features include real-time network troubleshooting, deep packet inspection, and custom alerting. Pros of SolarWinds NPM include ease of use and robust network monitoring capabilities, while cons include a high price point.
PRTG Network Monitor: PRTG Network Monitor is a comprehensive network monitoring tool that offers monitoring of bandwidth, usage, and performance. Key features include automated network discovery, customizable dashboards, and reporting tools. Pros of PRTG include user-friendly interface and extensive monitoring capabilities, while cons include costs based on sensors.
Check_MK: CheckMK is an open-source monitoring solution that offers comprehensive monitoring of IT infrastructure. Key features include agent-based monitoring, service discovery, and real-time performance graphs. Pros of CheckMK include easy configuration and scalability, while cons include complexity in set up for large environments.
Zenoss: Zenoss is an enterprise IT monitoring solution that provides monitoring of physical, virtual, and cloud-based resources. Key features include event management, automated remediation, and analytics capabilities. Pros of Zenoss include comprehensive monitoring capabilities and automated troubleshooting, while cons include a complex setup process.
Opsview: Opsview is a monitoring platform that offers monitoring of networks, applications, and cloud services. Key features include flexible dashboards, integrations with popular tools, and advanced reporting capabilities. Pros of Opsview include ease of use and efficient monitoring, while cons include limited support for certain technologies.
Netdata: Netdata is a real-time monitoring tool that provides insights into system performance, resource usage, and network traffic. Key features include visualizations, alarms, and the ability to monitor multiple systems from a central dashboard. Pros of Netdata include a user-friendly interface and real-time monitoring capabilities, while cons include limited scalability for larger deployments.
LibreNMS: LibreNMS is an open-source network monitoring tool that offers monitoring capabilities for networks, servers, and applications. Key features include auto-discovery, alerting, and modern design for ease of use. Pros of LibreNMS include a user-friendly interface and comprehensive network monitoring, while cons include potential complexity in setup for larger environments.
Top Alternatives to Icinga
NagiosNagios is a host/service/network monitoring program written in C and released under the GNU General Public License. ...
SensuSensu 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. ...
ShinkenShinken's main goal is to give users a flexible architecture for their monitoring system that is designed to scale to large environments. Shinken is backwards-compatible with the Nagios configuration standard and plugins. It works on any operating system and architecture that supports Python, which includes Windows, GNU/Linux and FreeBSD. ...
ZabbixZabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics. ...
PRTGIt 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. ...
PrometheusPrometheus 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. ...
LibreNMSIt is an auto-discovering PHP/MySQL/SNMP based network monitoring which includes support for a wide range of network hardware and operating systems including Cisco, Linux, FreeBSD, Juniper, Brocade, Foundry, HP and many more. ...
GrafanaGrafana 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. ...
Icinga alternatives & related posts
Nagios
- It just works53
- The standard28
- Customizable12
- The Most flexible monitoring system8
- Huge stack of free checks/plugins to choose from1
related Nagios posts
Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:
By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.
To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...
(GitHub : https://github.com/m3db/m3)
I am new to DevOps and looking for training in DevOps. Some institutes are offering Nagios while some Prometheus in their syllabus. Please suggest which one is being used in the industry and which one should I learn.
- Support for almost anything13
- Easy setup11
- Message routing9
- Devs can code their own checks7
- Ease of use5
- Price4
- Nagios plugin compatibility3
- Easy configuration, scales well and performance is good3
- Written in Go1
- Plugins1
- Written in Go1
related Sensu posts
related Shinken posts
Zabbix
- Free21
- Alerts9
- Service/node/network discovery5
- Templates5
- Base metrics from the box4
- Multi-dashboards3
- SMS/Email/Messenger alerts3
- Grafana plugin available2
- Supports Graphs ans screens2
- Support proxies (for monitoring remote branches)2
- Perform website checking (response time, loading, ...)1
- API available for creating own apps1
- Templates free available (Zabbix Share)1
- Works with multiple databases1
- Advanced integrations1
- Supports multiple protocols/agents1
- Complete Logs Report1
- Open source1
- Supports large variety of Operating Systems1
- Supports JMX (Java, Tomcat, Jboss, ...)1
- The UI is in PHP5
- Puppet module is sluggish2
related Zabbix posts
My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!
I am looking for an easy to set up and use monitoring solution for my servers and network infrastructure. What are the main differences between Checkmk and Zabbix? What would you recommend and why?
- Poor search capabilities1
- Graphs are static1
- Running on windows1
related PRTG posts
Prometheus
- Powerful easy to use monitoring47
- Flexible query language38
- Dimensional data model32
- Alerts27
- Active and responsive community23
- Extensive integrations22
- Easy to setup19
- Beautiful Model and Query language12
- Easy to extend7
- Nice6
- Written in Go3
- Good for experimentation2
- Easy for monitoring1
- Just for metrics12
- Bad UI6
- Needs monitoring to access metrics endpoints6
- Not easy to configure and use4
- Supports only active agents3
- Written in Go2
- TLS is quite difficult to understand2
- Requires multiple applications and tools2
- Single point of failure1
related Prometheus posts
Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:
By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.
To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...
(GitHub : https://github.com/m3db/m3)
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.
related LibreNMS posts
- Beautiful89
- Graphs are interactive68
- Free57
- Easy56
- Nicer than the Graphite web interface34
- Many integrations26
- Can build dashboards18
- Easy to specify time window10
- Can collaborate on dashboards10
- Dashboards contain number tiles9
- Open Source5
- Integration with InfluxDB5
- Click and drag to zoom in5
- Authentification and users management4
- Threshold limits in graphs4
- Alerts3
- It is open to cloud watch and many database3
- Simple and native support to Prometheus3
- Great community support2
- You can use this for development to check memcache2
- You can visualize real time data to put alerts2
- Grapsh as code0
- Plugin visualizationa0
- No interactive query builder1
related Grafana posts
Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:
By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.
To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...
(GitHub : https://github.com/m3db/m3)
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.