A simple architecture to one complete environment of a IoT System.
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Updated
Sep 25, 2020 - Shell
A simple architecture to one complete environment of a IoT System.
RandomForestClassifier model trained using synthetic climate data as a demonstration of a stack: Scikit-Learn (Machine Learning), PostgreSQL(+PostGIS and pgvector for geospatial and vector data), LLMs and sentence-transformer (for semantic search, RAG and SitRep generation), FastAPI and SQLAlchemy (ingestion server)
High-throughput Kafka ingestion service built in Go, designed to handle millions of events per minute with bounded backpressure, batching, retries, and DLQ support. Includes a custom load-generation tool and end-to-end throughput validation.
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