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Fluentd vs collectd: What are the differences?

Introduction

Fluentd and collectd are both widely used open-source log collectors. However, they have several key differences in terms of their architecture, deployment, extensibility, community support, and data processing capabilities.

  1. Architecture: Fluentd follows a centralized architecture, where it collects logs from various sources and forwards them to multiple destinations. In contrast, collectd uses a decentralized architecture, where each host running collectd collects and processes logs locally.

  2. Deployment: Fluentd can be deployed as a standalone process or as a daemon on individual hosts. It provides flexibility in choosing deployment options based on specific needs. On the other hand, collectd is typically installed as a background service on each host, making it suitable for distributed and multi-host environments.

  3. Extensibility: Fluentd offers a rich plugin ecosystem, allowing users to easily extend its functionality and integrate with various data sources and sinks. It provides a wide range of plugins for different purposes, such as data transformation, filtering, and buffering. Collectd, while extensible through plugins, has a more limited selection and may require custom development for specific use cases.

  4. Community Support: Fluentd has a larger and more active community, with continuous development, regular updates, and extensive documentation. It enjoys widespread adoption in various industries and benefits from active community support. Collectd, while also having an active community, has a relatively smaller user base and may have limited resources for community support.

  5. Data Processing: Fluentd is known for its powerful data processing capabilities, such as flexible log parsing, filtering, and routing. It can handle structured and unstructured data efficiently and supports various output formats. Collectd, while it focuses more on collecting and monitoring system metrics, may have limited data processing capabilities and is primarily used for monitoring purposes.

  6. Scalability: Fluentd is designed to scale horizontally, allowing easy scalability as the log volume increases. It can handle large amounts of data with minimal performance impact. In contrast, collectd's decentralized architecture may face challenges in terms of scaling when there is a need to monitor a large number of hosts simultaneously.

In summary, Fluentd and collectd differ in terms of their architecture, deployment options, extensibility, community support, data processing capabilities, and scalability. Fluentd offers a centralized approach with rich plugin ecosystem and powerful data processing, while collectd focuses on decentralized monitoring with a more limited plugin selection.

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Pros of collectd
Pros of Fluentd
  • 2
    Open Source
  • 2
    Modular, plugins
  • 1
    KISS
  • 11
    Open-source
  • 9
    Easy
  • 9
    Great for Kubernetes node container log forwarding
  • 9
    Lightweight

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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 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.

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Blog Posts

May 21 2020 at 12:02AM

Rancher Labs

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What are some alternatives to collectd and Fluentd?
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.
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.
See all alternatives