FastAPI and NiceGUI served from one Python process give a backend API and a web UI in a single codebase, compared here with React and with Streamlit.

Flink Table API in Kotlin states the supplier statistics as a declarative windowed aggregation over a DataStream, with late rows routed by hand.

Flink DataStream API in Kotlin computes the same supplier statistics, using watermarks for event time and side outputs to collect late order events.

Kafka Streams in Kotlin aggregates Avro order events into tumbling window supplier statistics and handles late records with a custom extractor.

Avro and Schema Registry replace hand written JSON codecs in a Kotlin Kafka producer and consumer, with generated classes and graceful shutdown.

A Kotlin Kafka producer and consumer for order events, with custom JSON serialisers, admin helpers and a Gradle build, run on Factor House Local.

Docker Compose runs a local Apache Flink cluster and SQL Client so the Ververica Flink SQL Cookbook recipes work without the Ververica Platform.

A Python generator loads theLook eCommerce data into PostgreSQL, and a FastAPI WebSocket server queries it on a timer to serve live dashboards.

Deploy an Apache Beam Python pipeline to a Flink session cluster on minikube, packaged as a Docker image and submitted as a Kubernetes job.

Deploy a PyFlink application to minikube with the Flink Kubernetes Operator, alongside a Kafka cluster that provides its source and sink topics.