Hi, Spring fans! Welcome to another installment fo This Week in Spring! How're you all holding up? Me? I'm doing well, thanks. We've got a ton of stuff to get to so let's!

• Spring Cloud Function Native Images
• Spring Boot 2.3.0.RC1 available now
• Adrian Cole, founder or co-founder of Feign, JClouds, and Spring Cloud Sleuth and a major contributor to OpenZipkin
• Spring for Apache Kafka 2.5.0 Release Candidate
• Spring Integration 5.3 RC1, 5.2.6 & 5.1.10 Available
• Updates to Spring Versions
• Spring Tips: The Wavefront Observability Platform
• I loved this blog on CQRS with Spring Boot and Axon
• How many different ways does VMware Tanzu support hybrid-cloud on #AWS?
• How to visualize a Spring Integration graph with Neo4j?
• LettuceDriver: Lettuce 5.3.0.RELEASE is out now
• This Thursday! Learn how to configure @WavefrontHQ for @springboot Starter and explore …

Here's the latest graph of memory versus billing for Spring Cloud Function on AWS Lambda. It shows the billing metric GBsec as a function of memory allocation in Lambda for two custom runtimes, one in plain Java and one using a GraalVM native image, as described recently in this blog by Andy Clement:

In both cases the functionality is identical (a simple POJO-POJO function), and they both show only the results for cold start. Warm starts, where the function was already active when the request came in, were much faster and cheaper (except for the smallest memory setting they all cost the same…

Hi, Spring fans! In this installment Josh Long (@starbuxman) talks to the founder of - among other things - Feign, JCloud, and Spring Cloud Sleuth - Adrian Cole (@adrianfcole) about distributed tracing, Zipkin, and more.

On behalf of the team and everyone that contributed, I am pleased to announce that the first release candidate of Spring Boot 2.3 is available now from our milestone repository.

This release closes over 70 issues and pull requests. Thanks to all those who have contributed.

Highlights of this milestone include:

• Auto-configuration of a Wavefront sender bean.
• Easier configuration of the data/time converts used by web applications.
• Automatic creation of the developmentOnly configuration in Gradle.
• Java buildpack support from the newly created Paketo project.

For a complete list of changes and upgrade instructions, please see the Spring Boot 2.3 Release Notes on the wiki and the updated reference documentation…

The Spring team has decided to change the versioning scheme for both release trains and project modules. These changes will be coming in the next release train and minor releases for each project. In fact, the changes are already present in Spring Cloud 2020.0.0-M1. Maven and Gradle do not provide the exact same version ordering, but we are working with the Gradle team to ensure the Spring scheme ends up sorted in the same way with both tools.

Release Train Version Changes

Spring has been using alphabetically ordered, themed release train versions since 2013. Release trains contain a group of…

I’m pleased to announce the first (and the last) release candidate for Spring Integration 5.3.

This release ships several bug fixes, a bunch of new features and improvements and will be picked up by Spring Boot 2.3 RC1.

It can be downloaded from our milestone repository:

Copycompile 'org.springframework.integration:spring-integration-core:5.3.0.RC1'

The most important new features are:

• The MongoDbChangeStreamMessageProducer - a reactive MessageProducerSupport implementation for the Spring Data ReactiveMongoOperations.changeStream(String, ChangeStreamOptions, Class) API. This component produces a Flux of messages with a body of ChangeStreamEvent as the payload by default and some change stream related headers (see MongoHeaders).

• The ReactiveMessageSourceProducer - a reactive implementation of the MessageProducerSupport to wrap a provided MessageSource into a Flux for on demand receive() calls.

• The ReceiveMessageAdvice - a former AbstractMessageSourceAdvice is graduated now to more common advice approach which can be used also for the PollableChannel.receive() proxying.

  …

The 2.5.0.RC1 release candidate is now avaialable in the Spring milestone repo.

Update: 2.5.0.RELEASE was released on May 13th.

Highlights:

• kafka-clients 2.5.0 (alignment of version numbers is coincidental).

• Support for re-committing retryable offset commit exceptions for retained partitions when using cooperative rebalancing.

• Support for the new "fetch-offset-request" procuder fencing (when brokers are 2.5 or higher), requiring fewer producers.

• Support for static group membership.

• More integration with Micrometer.

• Optional Delivery Attempts header.

• RecoveringBatchErrorHandler can commit a partial batch and replay from failed record in a batch (with cooperation of the listener); this is now the default for a batch listener.

  …

Hi, Spring fans! Welcome to another installment of This Week in Spring! It's already April 28th, 2020. I can't even believe it.

The time sure is flying, not just since the last time we spoke in this little blog of ours, but also since I first started writing these roundups the first week of January 2011. In four short months, it'll have been ten years since I officially joined the Spring team! Crazy.

It's also the case that time has flown by since this #COVID19 crisis forced much of the world into lockdown. I am an eternal optimist, and I was wondering if this COVID19 crisis was going to have…

speaker: Josh Long (@starbuxman)

Hi, Spring fans! Welcome to another installment of Spring Tips! In this installment, we'll revisit two topics that we've addressed in two previous videos (distributed tracing and metrics collection) in terms of the superb Tanzu Wavefront observability platform.

The first video of the two videos, as mentioned above, dating way back in early 2017, looked at distributed tracing with spring cloud sleuth and openzipkin. Spring Cloud Sleuth is an abstraction for capturing the flow of messages from one node to another. It's useful to help you see how messages move through a system. Spring cloud sleuth integrates with all the usual ingress and egress points in a Spring Boot application. Make an HTTP request using either the Restteplat or the reactive WebClient or Spring Cloud Feign? It works. Receive an HTTP request to a traditional (Servlet-based) or…