kaiwaehner/tensorflow-serving-java-grpc-kafka-streams
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
This project helps operations engineers and data scientists integrate real-time machine learning predictions into their data streams. It takes incoming data from Apache Kafka, sends it to an external TensorFlow model for predictions, and then outputs the enriched data back into a Kafka stream. This is ideal for scenarios where you need to leverage advanced model management features while processing high volumes of streaming data.
150 stars. No commits in the last 6 months.
Use this if you need to combine the real-time processing power of Kafka Streams with the advanced model deployment and versioning capabilities of TensorFlow Serving for machine learning inference.
Not ideal if you prioritize the absolute lowest latency for predictions or require offline inference capabilities directly within your stream processing application.
Stars
150
Forks
46
Language
Java
License
Apache-2.0
Category
Last pushed
Dec 16, 2023
Commits (30d)
0
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