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Munin vs collectd: What are the differences?
- Data Collection Method: Munin uses a pull method where the Munin node requests data from the monitored system, while collectd uses a push method where the monitored system sends data to the collectd daemon.
- Plugin Architecture: Munin has a built-in limited set of plugins for data collection, whereas collectd has a more extensive plugin ecosystem allowing for greater flexibility in data collection.
- Data Storage: Munin stores historical data in Round Robin Database (RRD) files, which can lead to data loss if the files become corrupted, whereas collectd stores data in plugin-specific databases, reducing the risk of data loss.
- Alerting and Monitoring: Munin focuses primarily on graphing data and lacks robust alerting capabilities, while collectd offers more advanced alerting features and can integrate with monitoring systems like Nagios.
- Resource Usage: Munin is known to consume more system resources compared to collectd, making it less suitable for resource-constrained environments.
- Community Support: Collectd has a larger and more active community, providing better support and more frequent updates compared to Munin.
In Summary, Munin and collectd differ in data collection method, plugin architecture, data storage, alerting capabilities, resource usage, and community support.
Decisions about collectd and Munin
Leonardo Henrique da Paixão
Junior QA Tester at SolarMarket · | 15 upvotes · 380.9K views
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.
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Learn MorePros of collectd
Pros of Munin
Pros of collectd
- Open Source2
- Modular, plugins2
- KISS1
Pros of Munin
- Good defaults3
- Extremely fast to install2
- Alerts can trigger any command line program2
- Adheres to traditional Linux standards2
- Easy to write custom plugins1
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What is collectd?
collectd 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.
What is 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.
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What companies use collectd?
What companies use Munin?
What companies use collectd?
What companies use Munin?
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What tools integrate with collectd?
What tools integrate with Munin?
What tools integrate with collectd?
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What are some alternatives to collectd and Munin?
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).
Nagios
Nagios is a host/service/network monitoring program written in C and
released under the GNU General Public License.
Ganglia
It 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.
Fluentd
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
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.