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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Fluentd vs collectd

Fluentd vs collectd

OverviewComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

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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Detailed Comparison

collectd
collectd
Fluentd
Fluentd

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.

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.

fast;simple;integrated;easy to operate
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
3.3K
GitHub Stars
13.4K
GitHub Forks
1.3K
GitHub Forks
1.4K
Stacks
98
Stacks
630
Followers
156
Followers
688
Votes
5
Votes
39
Pros & Cons
Pros
  • 2
    Open Source
  • 2
    Modular, plugins
  • 1
    KISS
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Lightweight
  • 9
    Easy

What are some alternatives to collectd, Fluentd?

Grafana

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.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Kibana

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

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

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.

Nagios

Nagios

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

Netdata

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

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