StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Fluentd vs Serilog

Fluentd vs Serilog

OverviewComparisonAlternatives

Overview

Serilog
Serilog
Stacks2.1K
Followers107
Votes1
GitHub Stars7.8K
Forks840
Fluentd
Fluentd
Stacks630
Followers688
Votes39
GitHub Stars13.4K
Forks1.4K

Fluentd vs Serilog: What are the differences?

Introduction

Fluentd and Serilog are both popular logging frameworks used to manage and process log data in software applications. While they serve the same purpose, there are several key differences that set them apart from each other.

  1. Data Collection and Sources: Fluentd is designed to collect data from various sources, including files, databases, and network streams, using its input plugins. On the other hand, Serilog primarily focuses on logging events generated within the application itself, with fewer built-in options for external data sources.

  2. Logging Configuration: Fluentd utilizes a configuration file written in a declarative language called Fluentd Configuration Language (FLuentd.conf). This file specifies the data inputs, filters, and outputs for Fluentd to process. In contrast, Serilog uses a fluent interface through code to configure logging settings, making it a more programmatic approach.

  3. Data Transformation and Enrichment: Fluentd provides extensive transformation capabilities through its filter plugins, allowing log data to be modified, filtered, or enriched before being forwarded to the output destinations. Serilog also supports log event enrichment and transformation, but with a more limited set of available enrichers and processors compared to Fluentd.

  4. Supported Output Destinations: Fluentd is built with a strong focus on delivering log data to various output destinations, including data stores like ElasticSearch, databases, message queues, and forwarders. It provides a wide range of output plugins to facilitate data routing and delivery. In contrast, Serilog's main focus is on producing log events, and it provides fewer out-of-the-box options for directly forwarding log data to external systems.

  5. Community and Ecosystem: Fluentd has a large and active community with a wide range of plugins and extensions available, making it highly customizable and adaptable to different environments. The Fluent ecosystem provides support for integration with many popular logging systems, making it a versatile choice. Serilog also has a thriving community, but its ecosystem is relatively smaller compared to Fluentd.

  6. Programming Language Support: Fluentd is primarily implemented in Ruby but offers language bindings for various programming languages. It can be used with applications developed in different languages. Serilog, on the other hand, is developed in and primarily designed for .NET applications, making it the natural choice for developers working with the .NET ecosystem.

In summary, Fluentd provides a comprehensive data collection and transformation framework with extensive output options and integration capabilities, while Serilog offers a more programmatic and focused approach for logging events within .NET applications.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Serilog
Serilog
Fluentd
Fluentd

It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms.

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.

Structured logging; .NET logger
Open source; Flexible; Minimum resources; Reliable
Statistics
GitHub Stars
7.8K
GitHub Stars
13.4K
GitHub Forks
840
GitHub Forks
1.4K
Stacks
2.1K
Stacks
630
Followers
107
Followers
688
Votes
1
Votes
39
Pros & Cons
Pros
  • 1
    It's a logging library
Cons
  • 1
    They are two different things
  • 1
    You can't compare this to seq
Pros
  • 11
    Open-source
  • 10
    Great for Kubernetes node container log forwarding
  • 9
    Lightweight
  • 9
    Easy
Integrations
.NET
.NET
C++
C++
LogRocket
LogRocket
ASP.NET
ASP.NET
No integrations available

What are some alternatives to Serilog, Fluentd?

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.

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.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana