Stream Processing and New Approaches: Edge Processing
summary
Fluent Bit adds a compact C stream processor that runs on edge devices, integrates into the Fluent Bit pipeline, and executes SQL-like queries, windowed aggregations and a basic linear regression forecast in-memory without indexing. Demo shows Elasticsearch choking on 1 million log lines while the embedded processor returns filtered streams immediately. The runtime is ~500KB, uses MessagePack, supports 50+ plugins and forward/HTTP outputs, employs coroutine-style synchronous IO, and is deployed >200,000 times daily.
AI-written summary · about
chapters (5)
related talks
39mAdvanced Stream Processing on the Edge
38mDeep Dive Fluent Bit: Logging & Stream Processing
44mFluent Bit: Logging and Data Processing on the Edge
21mSplunk Data Stream Processor
38mStreaming analytics and CEP ... #bbuzz
39mDeclarative stream processing...
34mStream Processing at the Edge with Apache Kafka
24mStreaming analytics on edge with Kuiper and KubeEdge
