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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Filebeat vs Rsyslog

Filebeat vs Rsyslog

OverviewComparisonAlternatives

Overview

Rsyslog
Rsyslog
Stacks37
Followers75
Votes0
GitHub Stars2.2K
Forks700
Filebeat
Filebeat
Stacks133
Followers252
Votes0

Filebeat vs Rsyslog: What are the differences?

Introduction

Filebeat and Rsyslog are both log management tools used to collect and forward logs in various systems. However, there are several key differences between the two:

  1. Architecture: Filebeat is a lightweight log shipper that is part of the Elastic Stack, designed for forwarding log files to Elasticsearch or Logstash. It collects and sends logs directly to the chosen destination, providing a simple and efficient way to move logs. On the other hand, Rsyslog is a powerful, multi-threaded log management system that can handle high log volumes. It supports a wider range of protocols and can process logs before forwarding them to their destinations.

  2. Flexibility: Filebeat focuses primarily on log shipping and does not provide as many advanced features as Rsyslog. It is best suited for simple log forwarding scenarios and does not support log processing or modification. In contrast, Rsyslog offers more customization options, allowing users to modify logs, perform filtering and routing based on various criteria, and apply transformations or enrichments to the log data.

  3. Protocol Support: Filebeat primarily uses the Beats protocol, which is designed for lightweight log transmission and is optimized for use with the Elastic Stack. It can also send logs over other protocols like Logstash, Kafka, or Redis. On the other hand, Rsyslog supports a wide range of protocols, including syslog, RELP (Reliable Event Logging Protocol), and a variety of TCP and UDP-based transport protocols.

  4. Operating System Compatibility: Filebeat is supported on many operating systems including Windows, macOS, and various Linux distributions. It also offers pre-built packages for easy installation and provides support for containerized environments. Rsyslog, on the other hand, is primarily used on Linux and Unix-like systems, although there are versions available for Windows as well.

  5. Logging Flexibility: Filebeat focuses on forwarding log files and does not have the ability to capture logs generated by processes running on the system. It primarily monitors log files and tail them for new entries. In comparison, Rsyslog can not only collect logs from files but can also capture logs from various sources such as network devices, applications, databases, and more. It provides a more comprehensive approach to log ingestion and management.

  6. Community and Support: Filebeat is part of the larger Elastic Stack ecosystem and has a strong community and support system. It benefits from the extensive documentation, community forums, and regular updates from Elastic. Rsyslog also has an active community but may have more limited support compared to Filebeat, especially in terms of specific integrations with other tools or platforms.

In summary, the key differences between Filebeat and Rsyslog lie in their architecture, flexibility, protocol support, operating system compatibility, logging capabilities, and community and support. Filebeat is a lightweight log shipper focused on forwarding log files, while Rsyslog offers more advanced features and customization options for log management and processing.

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Detailed Comparison

Rsyslog
Rsyslog
Filebeat
Filebeat

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.

It helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.

Multi-threading; TCP, SSL, TLS, RELP; MySQL, PostgreSQL, Oracle and more; Filter any part of syslog message;
-
Statistics
GitHub Stars
2.2K
GitHub Stars
-
GitHub Forks
700
GitHub Forks
-
Stacks
37
Stacks
133
Followers
75
Followers
252
Votes
0
Votes
0
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Splunk
Splunk
MySQL
MySQL
Logstash
Logstash

What are some alternatives to Rsyslog, Filebeat?

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.

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.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

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.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Sumo Logic

Sumo Logic

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

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