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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform. Microservices.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

This can either be built natively around the Kafka ecosystem, or you could use Kafka just for ingestion into another storage and processing cluster such as HDFS or AWS S3 with Spark. Some examples of model deployment in Kafka environments are: Analytic models (TensorFlow, Keras, H2O and Deeplearning4j) embedded in Kafka Streams microservices.

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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Apache Kafka is an event streaming platform that combines messages, storage, and data processing. Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. Apache Kafka as an event streaming platform for real-time analytics.

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Apache Kafka is an event streaming platform that combines messaging, storage, and processing of data to build highly scalable, reliable, secure, and real-time infrastructure. Long-term storage and buffering. High throughput. Large scale.

IoT 20