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Fluentd vs Rsyslog: What are the differences?

Fluentd vs Rsyslog

When it comes to log management and processing, Fluentd and Rsyslog are two popular options. While they both share some similarities, they also have several key differences.

  1. Architecture: Fluentd is built with a distributed architecture in mind, allowing it to scale horizontally by distributing the workload across multiple nodes. On the other hand, Rsyslog is designed to work in a client-server architecture, with centralized log processing and storage.

  2. Flexibility: Fluentd offers a high level of flexibility, supporting numerous input and output plugins, which enables it to collect and process logs from various sources and send them to various destinations. Rsyslog, on the other hand, has limited plugin support, making it less flexible in terms of log collection and distribution.

  3. Data Processing: Fluentd excels in providing extensive data processing capabilities. It allows for the application of filters and transformations on log data, facilitating custom parsing, tagging, and enrichment of the logs before they are forwarded. Rsyslog, on the other hand, focuses more on log aggregation and forwarding, with less emphasis on data processing.

  4. Logging Protocols: Fluentd primarily uses HTTP-based protocols for log communication, including both RESTful API and TCP/UDP protocols. Rsyslog, on the other hand, is built on the Syslog protocol, a standardized network protocol for log message exchange.

  5. Ecosystem: Fluentd benefits from a vibrant and active ecosystem, with a wide range of plugins and community support. This makes it easier to integrate Fluentd with other systems and leverage existing functionality. Rsyslog, while having a certain level of community support, has a comparatively smaller ecosystem.

  6. Ease of Use: Fluentd has a steeper learning curve due to its wide range of features and configuration options. It requires more technical expertise to set up and manage effectively. Rsyslog, on the other hand, is relatively easier to set up and configure, making it more suitable for simpler log management requirements.

In summary, Fluentd and Rsyslog differentiate themselves in terms of architecture, flexibility, data processing capabilities, logging protocols, ecosystem, and ease of use. The choice between the two depends on the specific requirements of the log management scenario and the technical expertise available.

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    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.

    What is Rsyslog?

    It offers high-performance, great security features and a modular design. It is able to accept inputs from a wide variety of sources, transform them, and output to the results to diverse destinations.

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    Blog Posts

    May 21 2020 at 12:02AM

    Rancher Labs

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    What are some alternatives to Fluentd and Rsyslog?
    Logstash
    Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    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.
    Filebeat
    It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    See all alternatives