Remove Architecture Remove Blockchain Remove Journal Remove Microservices
article thumbnail

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.

article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack. Data scientists combining Python and Jupyter with scalable streaming architectures. Configuration needs to be shared and automated for continuous builds and integration tests. So how can the Kafka ecosystem help here?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Confluent

explains in more detail why many new integration architectures leverage Apache Kafka instead of legacy tools like RabbitMQ, ETL, and ESB. Kafka Connect is a core component in event streaming architecture. Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain.

article thumbnail

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

Confluent

Let’s now take a look at the 10,000-foot view of a robust IoT integration architecture. End-to-end enterprise integration architecture. IoT integration architectures need to integrate the edge (devices, machines, cars, etc.) Requirements and challenges of IoT integration architectures. Inability to reprocess of events.

IoT 20