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A high-performance, lightweight data collector and processor designed for logs, metrics, and traces, specifically optimized for low resource consumption. It runs on Linux, BSD, macOS, and Windows, making it ideal for distributed environments, cloud-native setups, and edge computing.
Fluent Bit is an open-source data processor and forwarder for logs, metrics and traces, compatible with the Fluentd ecosystem. It's designed to be fast, lightweight, and highly scalable, making it an excellent choice for cloud-native, edge, and embedded systems.
Collecting, processing, and routing observability data (logs, metrics, traces) from diverse sources efficiently and reliably, especially in environments where resource usage is critical.
Designed from the ground up for minimal CPU and memory usage, suitable for resource-constrained environments.
Supports a wide variety of inputs (e.g., files, systemd, Docker, Kubernetes), filters (e.g., parsing, enriching), and outputs (e.g., Elasticsearch, Kafka, S3, Stdout) via a flexible plugin system.
Guarantees data delivery even under network issues or backend unavailability through robust buffering and retry mechanisms.
Native support for collecting logs, metrics, and traces (via OpenTelemetry integration), providing a unified agent for observability data.
Fluent Bit is widely used across various industries and environments for its efficiency and versatility in handling observability data.
Deploy Fluent Bit as a DaemonSet in Kubernetes clusters to collect container logs and node metrics, forwarding them to a centralized logging or monitoring system.
Provides a standard, low-overhead way to collect all container logs and node metrics across the cluster.
Install Fluent Bit on edge devices or gateways to collect system logs, application logs, and custom metrics, securely forwarding them to a remote server or cloud service.
Enables reliable data collection from potentially unstable or resource-limited edge environments.
Consolidate log collection from various Windows and Linux servers into a single stream for centralized analysis, filtering sensitive data before sending.
Simplifies log aggregation and management across heterogeneous server infrastructures.
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