Ganglia vs collectd

Overview

Ganglia

Stacks27

Followers88

Votes0

collectd

Stacks98

Followers156

Votes5

GitHub Stars3.3K

Forks1.3K

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.

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CLI (Node.js)

Manual

Advice on Ganglia, collectd

Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

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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Detailed Comparison

Ganglia	collectd
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.	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.
-	fast;simple;integrated;easy to operate
Statistics
GitHub Stars -	GitHub Stars 3.3K
GitHub Forks -	GitHub Forks 1.3K
Stacks 27	Stacks 98
Followers 88	Followers 156
Votes 0	Votes 5
Pros & Cons
No community feedback yet	Pros 2 Modular, plugins 2 Open Source 1 KISS

What are some alternatives to Ganglia, collectd?

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.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

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.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu 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.

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

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).

Related Comparisons

Ganglia vs collectd: What are the differences?

Introduction:

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.

Ganglia vs collectd

Overview