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The unified monitoring and security platform for high-scale cloud-native ecosystems.

The industry-standard unified logging layer for modern data pipelines.

Fluentd is an open-source data collector designed to unify data collection and consumption for a better use and understanding of data. As a CNCF (Cloud Native Computing Foundation) graduated project, it provides a unified logging layer that decouples data sources from backend systems. Its architecture, written in a combination of C and Ruby, allows for high-performance data processing with a minimal footprint. By 2026, Fluentd has solidified its position as the critical glue in AI-driven observability stacks, enabling real-time log ingestion for LLM-based anomaly detection and predictive maintenance. It supports over 1,000 community-contributed plugins, making it compatible with nearly every modern database, SaaS platform, and cloud provider. The project's primary advantage lies in its structured data approach, treating all logs as JSON objects to simplify downstream analysis. In the 2026 landscape, Fluentd is increasingly used in conjunction with Fluent Bit to manage edge-to-cloud telemetry, providing the sophisticated routing and transformation logic required for complex multi-cloud environments and strict regulatory compliance frameworks like GDPR and HIPAA.
Fluentd is an open-source data collector designed to unify data collection and consumption for a better use and understanding of data.
Explore all tools that specialize in log aggregation. This domain focus ensures Fluentd delivers optimized results for this specific requirement.
Decouples data sources from backends by treating all logs as JSON objects.
Extensible system with 1,000+ community-maintained plugins for Input, Filter, Output, and Buffer.
Supports both memory and file-based buffering with customizable retry logic.
Uses tags and labels to route data to different outputs based on content or metadata.
Supports active-active and active-standby configurations for mission-critical paths.
Allows for real-time parsing, filtering, and data enrichment before storage.
2026 versions leverage eBPF for lower overhead kernel-level log and metric capture.
Download the official td-agent or Fluentd gem package for your OS.
Install Fluentd using the package manager (e.g., apt, yum, or gem install).
Configure the /etc/td-agent/td-agent.conf file to define data sources.
Use the <source> tag to specify input plugins (e.g., @type tail).
Implement <filter> tags to parse, transform, or grep data streams.
Define <match> tags to specify output destinations like Elasticsearch or S3.
Validate the configuration using the 'fluentd --dry-run' command.
Start the Fluentd service and enable it for boot persistence.
Monitor performance using the built-in monitoring agent or Prometheus plugin.
Scale by implementing a forwarder-aggregator architecture for high availability.
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"Highly reliable and flexible; the de-facto standard for complex logging environments, though configuration can be complex for beginners."
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The unified monitoring and security platform for high-scale cloud-native ecosystems.

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