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Ganglia vs collectd: What are the differences?
Introduction:
Ganglia and collectd are both monitoring tools used in system administration to collect and analyze system performance data. However, there are key differences between the two that make them suitable for different use cases.
Data Collection Method: Ganglia uses a pull-based model where the data is collected from monitored hosts by a central gmond daemon running on the Ganglia server, while collectd uses a push-based model where the monitored hosts actively push data to a designated collectd server or service.
Plugin Ecosystem: Ganglia provides a limited set of built-in monitoring capabilities and relies more on third-party plugins to extend its functionality, whereas collectd comes with a wide range of plugins covering various metrics like CPU, memory, disk, network, and even custom metrics.
Scalability: Ganglia is known for its scalability and is commonly used in large-scale environments with thousands of hosts due to its efficient data aggregation and storage mechanisms, while collectd is more lightweight and suited for smaller environments or when a lesser number of metrics need to be monitored.
Architecture: Ganglia follows a hierarchical architecture where data flows from hosts to gmond to gmetad for storage and analysis, while collectd implements a simpler architecture where data is directly sent from hosts to the central server or destination without the need for intermediate layers.
Data Visualization: Ganglia provides a web-based interface for visualizing system metrics, creating graphs, and setting up alerts, whereas collectd does not come with a built-in graphical interface and relies on third-party tools or integration with other monitoring platforms for data visualization.
Community Support: Ganglia has been around longer and has a more established community, making it easier to find documentation, plugins, and support, while collectd, although actively developed, may have a smaller user base and community resources available.
In Summary, Ganglia and collectd differ in key aspects such as data collection method, plugin ecosystem, scalability, architecture, data visualization, and community support.
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.
Pros of collectd
- Open Source2
- Modular, plugins2
- KISS1