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
Open-Source Web UI for managing Apache Kafka clusters
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 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
Example microservices showing how to use Kafka and Kafka Streams with Spring Boot on the example of distributed transactions implementations with the SAGA pattern
Complex Event Processing on top of Kafka Streams
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 ecosystem ... but step by step!
This is the central repository for all materials related to Kafka Streams : Real-time Stream Processing! Book by Prashant Pandey.
StreamLine - Streaming Analytics
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
Swiftly build and enhance your Kafka Streams applications.
OpenTracing Instrumentation for Apache Kafka Client
Code to share the knowledge I gained while designing and implementing micro services
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.
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.
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