How Fluent Bit and Elasticsearch Can Tame Messy IoT Log Data

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A developer has shared a two-stage pipeline architecture for processing heterogeneous logs from home automation systems, combining Fluent Bit and Elasticsearch. The setup ingests data from sources including Domoticz, ESP8266/D1 devices, alarm scripts, and other IoT components, each producing logs in different formats. Fluent Bit handles the first stage by reading log files, applying multiple smaller regex parsers, extracting timestamps and metadata, and forwarding cleaned records to Elasticsearch. Elasticsearch then completes the transformation via an ingest pipeline before storing documents in a dedicated index, with end-to-end latency typically under one minute. The full configuration, including parser definitions and filter rules, has been made publicly available on GitHub.

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