#Kafka-streams
Showing 15 of 15 repositories tagged #kafka-streams, ranked by stars
Python Stream Processing
Apache Kafka® running on Kubernetes
Machine Learning Platform and Recommendation Engine built on Kubernetes
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
An open source distributed tracing & observability platform
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
💬 Open Source App Framework to build streaming apps with real-time data - 💎 Build real-time data pipelines and make real-time data universally accessible - 🤖 Join historical and real-time data in the stream to create smarter ML and AI applications. - ⚡ Standardize complex data ingestion and stream data to apps with pre-built connectors
🚀 Azkarra is a lightweight java framework to make it easy to develop, deploy and manage cloud-native streaming microservices based on Apache Kafka Streams.
A high-throughput, consistent ticket reservation system that can process 83000+ reservations per second
Apache Kafka Guide
Enterprise-grade UI and API for Apache Kafka®. Official release artifacts and Docker images for Kpow.
Utility functions and base classes for Kafka Streams applications
Terraform and Ansible to install a Kafka Cluster
A end-to-end real-time stock market data pipeline with Python, AWS EC2, Apache Kafka, and Cassandra Data is processed on AWS EC2 with Apache Kafka and stored in a local Cassandra database.
Flink Example