Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®.

Kafka 93

Kafka Cloud Data Pipeline PostgreSQL 93

Confluent

MARCH 12, 2019

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream.

Kafka 111

Kafka Cloud Programming Coding 111

Confluent

JUNE 11, 2019

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. Continuous deployment of event streaming applications in Spring Cloud Data Flow. java -jar spring-cloud-dataflow-shell-2.1.0.RELEASE.jar.

Kafka 84

Kafka Cloud Java MongoDB 84

Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load. Introduction Many modern application designs are event-driven.

PostgreSQL 88

PostgreSQL Kafka Database Data 88

Confluent

JULY 24, 2019

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? Distributed tracing with Apache Kafka and Jaeger. Example of a Kafka project with Jaeger tracing. What does this all mean?

Kafka 54

Kafka Systems Bytes Project 54

Confluent

JULY 31, 2019

If you’re like most users, chances are that Confluent Platform is rapidly becoming the new standard for integrating your data and applications to uncover new insights about your business, build real-time customer experiences, and create new business models. Automate Kafka operations for production environments.

Kafka 19

Kafka Cloud Accessible Accessibility 19

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. The bank application. Either way, both are accomplished with event sourcing.

Kafka 18

Kafka Java Banking Bytes 18