Open-Source Web UI for Apache Kafka Management
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Updated
Jul 26, 2024 - Java
Open-Source Web UI for Apache Kafka Management
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.
Learn Kafka Streams with several examples!
Open-Source Web UI for managing Apache Kafka clusters
💬 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
Complex Event Processing on top of Kafka Streams
Example microservices showing how to use Kafka and Kafka Streams with Spring Boot on the example of distributed transactions implementations with the SAGA pattern
Kafka ecosystem ... but step by step!
StreamLine - Streaming Analytics
This is the central repository for all materials related to Kafka Streams : Real-time Stream Processing! Book by Prashant Pandey.
An online code compiler supporting 11 programming languages (Java, Kotlin, Scala, C, C++, C#, Golang, Python, Ruby, Rust and Haskell) for competitive programming and coding interviews.
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
OpenTracing Instrumentation for Apache Kafka Client
Code to share the knowledge I gained while designing and implementing micro services
Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.
This is an example application to show howto use Spring Boot 3, Angular 18, Kafka with Streams and Mongodb with the reactive features of Spring in a clean architecture and a Helm chart for the Kubernetes setup. Structurizr is used for C4 diagrams.
Project goal: Explore Kafka, Kafka Connect, and Kafka Streams. Components: store-api: Inserts/updates MySQL records. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors: Listen to Kafka, insert/update Elasticsearch docs. store-streams: Listens to Kafka, processes with Kafka Streams, pushes new messages to Kafka.
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