Fluent Bit

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

Overview

Fluent Bit is a fast, lightweight and highly scalable open source log processor and forwarder. It collects logs, metrics and traces from many sources, parses and filters them through a configurable pipeline, then routes the records to dozens of destinations including Elasticsearch, OpenSearch, Loki, Kafka, S3, CloudWatch, Splunk and any HTTP endpoint. This image delivers Fluent Bit fully installed and running as a system service with a working sample pipeline, so a telemetry pipeline appliance is processing records within minutes of launch.

Log Pipeline Service

The fluent-bit daemon installed from the official package repository and run by the bundled systemd service, started on boot and restarted on failure. A self-contained sample pipeline ships ready to run, generating a steady record stream and host CPU telemetry into a file output and the journal, so you can confirm the pipeline is flushing records the moment you log in. Replace the sample inputs and outputs with your own to start collecting and shipping your real telemetry.

Built-in Monitoring API

The built-in HTTP monitoring server is enabled and bound to loopback, so the health endpoint, the per-plugin metrics endpoint and the uptime endpoint answer on the instance. Scrape the Prometheus-format metrics, wire the health check into your supervisor, or expose the API on your own terms. No web interface to secure: the monitoring API is read-only and stays private by default.

Configurable Pipeline

Fluent Bit reads its pipeline from a simple configuration directory. Define inputs to tail files, read the systemd journal, listen for forward or syslog traffic or scrape metrics; chain filters to enrich, redact, rewrite and route; and fan out to multiple outputs in parallel. A filesystem storage buffer on a dedicated data disk backs the pipeline so bursts and brief output outages do not drop records.

Ready To Use

Connect over SSH and the pipeline is already running. Read the welcome notes, edit the configuration under the pipeline directory, point the inputs at your log sources and the outputs at your destinations, then reload the service. The filesystem buffer and the sample file output live on a dedicated, independently resizable data disk.

cloudimg Support

24/7 technical support by email and chat. Help with pipeline design, input and output plugin configuration, parsers and filters, multiline log handling, buffering and backpressure, routing to your observability backend and upgrade planning.

Use Cases

A log forwarding agent shipping application and system logs to your observability backend. An edge aggregator parsing and filtering telemetry before it leaves your network. A metrics collector scraping and forwarding host and application metrics. A drop-in, resource-light alternative to heavier log shippers.

All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.