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articles composite-container-patterns-in-kubernetes

Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Confluent

MAY 30, 2019

In Spring Cloud Data Flow, the data pipelines can be a composition of either event streaming (real-time and long-running) or task/batch (short-lived) data-intensive applications. We will cover the following in this post: Overview of the Spring Cloud Data Flow ecosystem. Stream Java DSL (domain-specific language). RESTful APIs via curl etc.

Cloud

Cloud Data Applications Windows

Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

MAY 9, 2019

All of these, and more, lead to design patterns that can be used and reused. To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything. Following the introduced patterns and working within bounded contexts it actually contains the complexity within each context.

Microservices

Microservices Metrics Systems Review Architecture

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

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