FluentdFluent

FluentdFluent is a data collection and log processing project derived from Fluentd. It provides a streaming pipeline intended to collect, transform, and route logs, events, and metrics from multiple sources to diverse backends.

Designed to be compatible with Fluentd's configuration style, FluentdFluent aims to preserve the familiar plug-in model while offering modest enhancements to ease of setup and observability. The project emphasizes reliable delivery, buffering, and a flexible routing mechanism across environments such as data centers and cloud platforms.

Architecturally, FluentdFluent follows the inputs-filters-outputs pattern. It supports input plugins for files, syslog, HTTP endpoints, and cloud services; filter plugins for enrichment and masking; and output plugins for Elasticsearch, Kafka, cloud storage, and stdout. It includes an in-process buffering layer and can store data temporarily on disk to handle bursts and network interruptions.

Deployment and usage focus on containerized and orchestration-friendly setups. FluentdFluent provides a declarative configuration file that aims to be a drop-in successor for Fluentd configurations, enabling teams to reuse existing pipelines with minimal changes. It supports common deployment patterns in Kubernetes, Docker, and on-premises environments, and offers basic observability through logs and metrics.

Licensing and ecosystem: FluentdFluent is released under an open-source license and maintained by an active community of contributors. The project hosts plugins and integrations that mirror the Fluentd ecosystem, enabling interoperability with standard data stores and analytics platforms.