What is Munin and what are its top alternatives?
Munin is a popular open-source network monitoring tool that allows users to monitor their systems' performance, resource usage, and trends. Key features of Munin include easy installation, a web-based interface for monitoring, plugin architecture for customization, and graphing capabilities. However, Munin may have limitations in terms of scalability for large environments and flexibility in terms of data visualization.
- Prometheus: Prometheus is a flexible and powerful monitoring system that collects metrics from targets in real-time. It offers multi-dimensional data model, alerting capabilities, and support for various service discovery mechanisms. Pros include scalability, robust alerting, and an active community. Cons may include complexity in setup and configuration.
- Zabbix: Zabbix is an enterprise-grade open-source monitoring solution that offers monitoring for servers, networks, applications, and services. It features auto-discovery, flexible alerting, and a web-based interface. Pros include comprehensive monitoring capabilities and scalability. Cons may include a steeper learning curve for beginners.
- Grafana: Grafana is a popular open-source platform for monitoring and observability that allows users to create and share dashboards with a variety of data sources. It offers interactive visualizations, alerting, and support for plugins. Pros include easy dashboard creation and integration with various data sources. Cons may include resource-intensive setups for large deployments.
- Icinga: Icinga is a powerful open-source monitoring tool that provides monitoring of networks, services, and applications. It offers features like customizable dashboards, reporting, and support for plugins. Pros include flexible alerting mechanisms and integration with various IT automation tools. Cons may include a slightly complex setup process.
- Nagios: Nagios is a time-tested open-source monitoring tool that offers monitoring of hosts, services, and network devices. It features customizable alerting, plugin support, and a web-based interface. Pros include a large community and extensive plugin ecosystem. Cons may include a less intuitive user interface.
- Netdata: Netdata is a real-time monitoring and troubleshooting tool that provides insights into system health and performance metrics. It offers interactive dashboards, alarms, and support for various data sources. Pros include ease of installation and real-time monitoring capabilities. Cons may include limited historical data retention.
- Observium: Observium is a network monitoring platform that focuses on providing SNMP-based monitoring of networks and devices. It offers auto-discovery, trend analysis, and support for custom device modules. Pros include easy setup for network monitoring and support for various network devices. Cons may include limited support for non-SNMP monitoring.
- Graylog: Graylog is a centralized logging platform that can be used for monitoring system and application logs. It offers real-time log analysis, alerting, and data visualization capabilities. Pros include log management and search functionalities. Cons may include a more specialized use case compared to Munin.
- Checkmk: Checkmk is a comprehensive IT monitoring solution that offers monitoring of networks, servers, applications, and cloud infrastructures. It features agent-based monitoring, auto-discovery, and support for various integrations. Pros include multi-cloud monitoring capabilities and a user-friendly interface. Cons may include a higher cost for enterprise features.
- Splunk: Splunk is a data platform that can be used for monitoring, searching, and analyzing machine-generated data. It offers log management, real-time monitoring, and visualization features. Pros include powerful data analytics capabilities and integration with various data sources. Cons may include a steep learning curve and higher costs for large deployments.
Top Alternatives to Munin
CactiCacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box. ...
ZabbixZabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics. ...
NagiosNagios is a host/service/network monitoring program written in C and released under the GNU General Public License. ...
GangliaIt is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. ...
collectdcollectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too. ...
MonitIt can monitor and manage distributed computer systems, conduct automatic maintenance and repair and execute meaningful causal actions in error situations. ...
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. ...
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. ...
Munin alternatives & related posts
Cacti
- Free3
- Rrdtool based3
- Fast poller2
- Graphs from snmp1
- Graphs from language independent scripts1
related Cacti 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?
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.
related Ganglia posts
- Open Source2
- Modular, plugins2
- KISS1
related collectd posts
We use collectd because of it's low footprint and great capabilities. We use it to monitor our Google Compute Engine machines. More interestingly we setup collectd as StatsD replacement - all our Clojure services push application-level metrics using our own metrics library and collectd pushes them to Stackdriver
related Monit 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.
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.