What is Cacti and what are its top alternatives?
Cacti is a network monitoring tool that provides a front-end server for data logging and graphing tools. It allows users to monitor the performance of their network infrastructure by collecting data from various sources and presenting it in visually informative graphs and charts. Key features of Cacti include graph templating, data gathering from multiple sources, user access control, and the ability to create custom data templates. However, Cacti has some limitations such as a complex set-up process, lack of real-time monitoring capabilities, and limited support for certain data sources.
- Zabbix: Zabbix is a popular open-source network monitoring tool known for its scalability and extensive monitoring capabilities. It offers real-time monitoring, alerting, and reporting features, making it a robust alternative to Cacti. Pros include a user-friendly web interface, support for custom scripts, and a large community for assistance. However, setting up Zabbix can be more complex compared to Cacti.
- Nagios Core: Nagios Core is another widely used open-source monitoring tool that offers monitoring of servers, networks, applications, and services. It features a robust alerting system, plugin support, and a customizable dashboard. Nagios Core is known for its flexibility and scalability, but may require more configuration compared to Cacti.
- Prometheus: Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It specializes in monitoring dynamic cloud environments and supports multi-dimensional data collection. Prometheus offers powerful querying capabilities and integrations with other tools, making it a strong alternative to Cacti.
- Grafana: Grafana is a data visualization and monitoring platform that works well with multiple data sources, including Cacti. It offers flexible graphing options, dashboard templates, and support for alerting and notifications. Grafana is known for its sleek interface and ease of use, making it a popular choice for monitoring needs.
- PRTG Network Monitor: PRTG Network Monitor is a comprehensive monitoring tool that covers networks, servers, applications, and devices. It features auto-discovery, customizable dashboards, and detailed reporting. PRTG offers a user-friendly interface and strong customer support, but it is a paid tool compared to Cacti.
- Observium: Observium is an open-source network monitoring platform designed for monitoring and analyzing network devices and equipment. It provides automatic discovery, low-level SNMP support, and advanced graphing capabilities. Observium is known for its simplicity and scalability, making it a good alternative to Cacti.
- LibreNMS: LibreNMS is an open-source network monitoring and management system that provides automatic discovery, alerting, and performance monitoring. It offers support for a wide range of devices and operating systems, making it suitable for diverse network environments. LibreNMS is user-friendly and easy to set up, making it a convenient alternative to Cacti.
- SolarWinds Network Performance Monitor: SolarWinds Network Performance Monitor is a powerful network monitoring tool that offers comprehensive monitoring features for networks, servers, and applications. It provides real-time monitoring, alerting, and reporting capabilities with a user-friendly interface. SolarWinds NPM is a paid tool with advanced features compared to Cacti.
- NetXMS: NetXMS is an open-source network management and monitoring system designed for enterprise-level networks. It offers a wide range of monitoring capabilities, including performance, fault, and event management. NetXMS supports agentless monitoring and has a flexible architecture, making it suitable for complex network environments.
- Icinga: Icinga is a flexible and scalable open-source monitoring tool that offers monitoring of networks, servers, and applications. It features customizable dashboards, extensive plugin support, and strong reporting capabilities. Icinga is known for its easy integration with other tools and APIs, making it a versatile alternative to Cacti.
Top Alternatives to Cacti
- Zabbix
Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics. ...
- Munin
Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work. ...
- Cactus
Cactus makes setting up a website look easy. Choose a template for a blog, portfolio or single page and Cactus generates all files and folders to get you on your way. ...
- Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License. ...
- Solarwinds
Developed by network and systems engineers who know what it takes to manage today's dynamic IT environments, SolarWinds has a deep connection to the IT community. ...
- PRTG
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. ...
- Observium
It is a low-maintenance auto-discovering network monitoring platform supporting a wide range of device types, platforms and operating systems ...
- 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. ...
Cacti alternatives & related posts
- 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?
Munin
- Good defaults3
- Extremely fast to install2
- Alerts can trigger any command line program2
- Adheres to traditional Linux standards2
- Easy to write custom plugins1
related Munin posts
- Mac app2
- One-click S3 integration1
- Django templates1
related Cactus 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.
related Solarwinds posts
- Poor search capabilities1
- Graphs are static1
- Running on windows1
related PRTG posts
- Modern Graphs1
related Observium 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
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.
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)