Spring

Extensive out-of-the-box functionality, a large user community, and up-to-date, cloud-native features make Spring and its libraries a strong option for anchoring your Apache Kafka® and Confluent Cloud based microservices architecture. […]

Today, an organization’s strategic objective is to deliver innovations for a connected life and to improve the quality of life worldwide. With connected devices comes data, and with data comes […]

Self-managing a distributed system like Apache Kafka®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and […]

Microservice architectures continue to grow within engineering organizations as teams strive to increase development velocity. Microservices promote the idea of modularity as a first-class citizen in a distributed architecture, enabling […]

Data is the currency of competitive advantage in today’s digital age. All organizations struggle with their data due to the sheer variety of data types and ways that it can […]

Asynchronous boundaries. Frameworks. Configuring frameworks. Apache Kafka®. All of these share one thing in common: complexity in testing. Now imagine them combined—it gets much harder. This is the final blog […]

Have you ever had to write a program that needed to handle any data payload that could be thrown at you? If so, did you always have to update the […]

Event modeling has always been a pain point in organizations. From figuring out the standard format of your schemas, processing said data models effectively, and finally testing before you deploy […]

You know the fundamentals of Apache Kafka®. You are a Spring Boot developer working with Apache Kafka or Confluent Cloud. You have chosen Spring for Apache Kafka for your integration. […]

When a client wants to send or receive a message from Apache Kafka®, there are two types of connection that must succeed: The initial connection to a broker (the […]

This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka® cluster running in Pivotal […]

TL;DR Following on from How to Work with Apache Kafka in Your Spring Boot Application, which shows how to get started with Spring Boot and Apache Kafka®, here I will […]

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka® project that I’ve worked on posed: how is data flowing through my distributed system? […]

For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also […]