This is Part 2 of Testing Stream Applications. In Part 1 we implemented and tested the core function needed for our sample couchbase-sink application. The tests at the function level covered expected success and error scenarios and relied on Testcontainers to provision a Couchbase cluster. This post assumes you have read Part 1 and continues where it left off.

Couchbase Sink

In Part 1 we verified that the function we wrote for upserting data into Couchbase works as expected. We can now use the function, exposed as a java.util.Consumer, to implement a sink to use in a data pipeline built with…

This post is part of a blog series that explores the newly redesigned Spring Cloud Stream applications based on Java Functions. This episode, presented in two parts, explores strategies for testing functions used to implement stream applications. We will pay special attention to functions that integrate with external resources, which presents additional testing challenges. Such is the case with most of the pre-packaged source and sink applications. To illustrate this, we will walk through a sample couchbase-sink application. Here in Part 1, we will focus on the core function on which the sink…

Hi, Spring fans! In this special midweek installment I correct a mistake I made last week when I inadvertently released the episode featuring Dion Almaer, with the interview I conducted with Spring Batch co-lead Mahmoud Ben Hassine. This is the actual episode with Mahmoud Ben Hassine, with the correct title and everything! Enjoy!

Hi, Spring fans! In this special midweek installment I (Josh Long) correct a mistake I made last week when I inadvertently released the episode featuring open-web legend Dion Almaer with the interview I conducted with the inspirational and oh-so-amazing Spring Batch co-lead Mahmoud Ben Hassine. This is the actual episode with Dion Almaer (@dalmaer) who is known for so many contributions to the Java ecosystem and beyond. I know him as a former editor in chief of TheServerSide.com, but you may know him for his work championing the open web at Palm, Walmart, and Google, and many more.

This article is part of a blog series that explores the newly redesigned Spring Cloud Stream applications based on Java Functions.

Here are all the previous parts of this blog series.

• Introducing Function Based Streaming Applications

• Function Composition with Streaming Applications

• How to Build a Supplier and Source Application

• How to Build a Consumer and Sink Application

• Build and Run a Simple Stream Application

• Case Study: HTTP Request Function and Processor

• Case Study: File Source and MongoDB Sink

• Case Study: Relational Database Source and File Sink

• Case Study: Remote File Ingest with Spring Cloud Data Flow

• Case Study: Aggregator Function and Processor

• Case Study: Elasticsearch sink

…

Prologue

Uniformity of data across systems and platforms is a singular and noble purpose of Cloud Event specification. With its growing adoption, the hope is that the developers and architects would no longer have to worry about how to deal with various events coming from different systems and platforms. . . But the point of this post is not to re-litigate or re-justify Cloud Events. A simple Google search renders quite a few points for you to read to help the "Why Cloud Events?" question. The goal of this and subsequent posts on the subject is to share some ideas and the work we've been…

Hi, Spring fans! Welcome to another installment of This Week in Spring! Can you believe we're already past the first week of the last month of the year? I can't even believe that it's already been a week since we last congregated here, for this humble column, let alone almost a year since 2019! What a whirlwind.

We've got a ton of stuff to catch up on so let's get to it!

• 10 Best Java Frameworks to Use in 2020 [Updated]
• A Bootiful Podcast: Dr. Heinz Kabutz
• How to figure out which Spring Boot versions are compatible with which Spring Cloud versions
• J-Fall Virtual 2020: Josh Long - Keynote: Cloud Native Java, Redux - YouTube
• Micrometer's RSocket-based Prometheus proxy version 1.3.0 has been released. This upgrades to RSocket 1.1, Spring Boot 2.4, and Java 11 runtime for the proxy container image. It's also using Paketo buildpacks to build the container now.
• Spring Boot can create a JFR dump
• Spring Cloud 2020.0.0-M6 (aka Ilford) Is Available
• …

Hi, Spring fans! In this week's installment Josh Long talks to his hero, longtime friend (9+ years and counting!), inspiration and a person who has made the JVM a better place to deploy software and the JVM community a better place for people to build software through his JavaSpecialists newsletter and through his amazing content: Dr. Heinz Kabutz. 'Nuff said. Enjoy!

Spring Cloud Data Flow team is pleased to announce the release of 2.7.0 and 2.6.4

While the release 2.6.4 has the bug fixes, the 2.7.0 has the following updates along with the bug fixes and improvements :

SCDF dashboard re-design using VMware Clarity toolkit

SCDF dashboard is re-designed using VMware Clarity design system. This is a complete rewrite of SCDF dashboard GUI to get the benefits of the Clarity design.

Spring Boot 2.3. Update

SCDF server components are now updated to use Spring Boot 2.3.5 release.

Wavefront integration

Spring Cloud Data Flow dashboards for streams, tasks, SCDF server components and Kafka Streams dashboard are available in VMware Wavefront dashboards for integrations. The configurations required to set up the wavefront integration are simplified at the SCDF as well. More information on this can be found here…