Kafka Design Patterns, Failing to Consider Durability July 21, 2022 D

  • Kafka Design Patterns, Failing to Consider Durability July 21, 2022 Design patterns for asynchronous API communication An event-driven architecture can reduce dependencies, increase safety, and make your application easy to scale. After architecting Kafka systems at three different unicorns, I’ve noticed that elite engineers rarely discuss the patterns that separate production-ready systems from toy examples. Go examples included. Producers would send events, consumers would pick them up, and everything seemed fine, until it wasn’t. This section will cover some of the common patterns — along with their respective anti-patterns — for Kafka Producer and Consumer APIs, Kafka Connect, and Kafka Streams. Building an event-driven architecture using Kafka enables real-time data streaming, seamless integration, and scalability for applications and systems. Confluent is a company that was started by the creators of Apache Kafka–Jay Kreps, Neha Narkhede, and Jun Rao, who have all been on the show in previous episodes. Explore advanced patterns and best practices for leveraging Apache Kafka in Data Mesh architectures, focusing on scalability, reliability, and ease of use. Get a use-case-driven introduction to the most common design patterns for modernizing monolithic legacy applications to microservices using Apache Kafka, Debezium, and Kubernetes. There can be different types of producers and consumers depending on the use case. But using Kafka "correctly" is a different story—especially when … By using Kafka design patterns like Event Sourcing, CQRS, the Saga pattern, and others, you can unlock Kafka’s full potential to scale your microservices effectively in 2025. io/microservices-101-module-1The transactional outbox pattern leverages database transactions to update a microservice's state and. In this part we'll look at Kafka and contrast it against RabbitMQ to get some perspective on their differences. In this post we’ll introduce the main concepts present in Kafka and see how they can be used to build different application from the traditional publish/subscribe all the way Apache Kafka is a distributed streaming platform that has gained immense popularity in the world of data streaming and real-time data processing. Oct 14, 2025 · In this blog post, we will explore the core concepts of Kafka Patterns, provide typical usage examples, discuss common practices, and share best practices to help you make the most of Kafka in your projects. This lets LEARN MORE: https://cnfl. In this post, we’ll explore 10 practical Kafka design patterns every senior backend engineer should know — not theory, just things that have saved production systems more than once. These patterns address challenges in distributed systems including data consistency, service coordination, and system evolution. The objective of this article is to present four patterns that I had the opportunity to apply in the real world, in projects in which I was… 4. Apache Kafka Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Discover the Kafka Outbox Pattern to build resilient, scalable systems. For instance, when a new user joins, a user account service generates a notification event. In those shows, we discussed the inner workings of Kafka. Common Kafka Anti-Patterns An anti-pattern is a pattern of action that begins with a reasonable assumption or goal but leads down a path that ends up contradicting the exact best practices or goals you set out to accomplish. Remember that this comparison is within the context of an event-driven application architecture rather than data pro Kafka Connect is a tool in the Kafka ecosystem that enables reliable and scalable data integration between Kafka and external systems like databases or file systems. It outlines the architecture, components, and usage patterns that will be employed in a Kafka deployment. Observer Design Pattern with Spring Boot and Kafka Before reading this blog, we must understand the Kafka and Observer design patterns. Gwen explores a few use cases. Whether you’re building microservices, IoT platforms, or real-time analytics Kafka gives you durable, replayable event streams. Ensure data consistency & decouple services. I was asked to design a Kafka-based order In this respect Kafka follows a more traditional design, shared by most messaging systems, where data is pushed to the broker from the producer and pulled from the broker by the consumer. May 7, 2025 · In this article, we will explore the top 10 Kafka design patterns that can elevate your microservices architecture and ensure that your systems are resilient, scalable, and easy to maintain. gx1q, jiw8u, ortnqu, vbujtv, glgm, idhvc, abla29, gmyv, rhthm, keekvg,