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StatsD vs collectd: What are the differences?
- Data Collection and Monitoring: StatsD is a simple and lightweight data collection service, primarily used for aggregating application and system-level metrics, while collectd is a system statistics collection daemon that retrieves data about the system's performance.
- Protocol: StatsD uses a UDP protocol for sending metrics, allowing for quick and asynchronous data transfers, while collectd typically uses a TCP protocol for communication, which ensures data integrity at the expense of potentially slower transfers.
- Ease of Use: StatsD is relatively easy to set up and configure, with minimal dependencies, making it a good choice for quick and simple metric collection. On the other hand, collectd requires more effort to install and configure due to its features and plugins, but it provides more comprehensive and detailed metrics out of the box.
- Integration: StatsD is often used in conjunction with other tools, like Graphite or Grafana, for data visualization and analysis. In contrast, collectd offers its own built-in data visualization capabilities, making it a more self-sufficient monitoring solution.
- Plugin Ecosystem: collectd offers a wide range of plugins, allowing users to collect metrics from various sources such as CPU, disk, network, and more. StatsD, while extensible, has a more limited set of plugins available, primarily focused on application-level metrics.
- Scalability: StatsD is designed to scale horizontally, allowing for easy distribution of metrics across multiple instances and enabling efficient handling of high data volumes. Collectd, on the other hand, is designed to be deployed on each individual server, making it less suitable for large-scale distributed environments.
In Summary, StatsD is a lightweight data collection service focused on application-level metrics, using UDP for quick transfers and often integrated with other tools for data visualization. Collectd, on the other hand, is a system statistics collection daemon using TCP for reliable transfers, offering more comprehensive metrics out of the box and a plugin ecosystem for various data sources.
Decisions about collectd and StatsD
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 StatsD
Pros of collectd
- Open Source2
- Modular, plugins2
- KISS1
Pros of StatsD
- Open source9
- Single responsibility7
- Efficient wire format5
- Handles aggregation3
- Loads of integrations3
- Many implementations1
- Scales well1
- Simple to use1
- NodeJS1
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Cons of collectd
Cons of StatsD
Cons of collectd
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Cons of StatsD
- No authentication; cannot be used over Internet1
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- No public GitHub repository available -
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 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).
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What companies use collectd?
What companies use StatsD?
What companies use collectd?
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What tools integrate with collectd?
What tools integrate with StatsD?
What tools integrate with collectd?
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What are some alternatives to collectd and StatsD?
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.
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.