Document, constraint and verify application architecture

Configure your app to analyze database performance

Spring Boot Annotations Explained

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<p>We recently announced the general availability of <a href="https://content.pivotal.io/blog/spring-cloud-services-3-0-includes-new-and-improved-config-server">Spring Cloud Services 3.0</a>, which involved a major redesign of the previous architecture used in that project. As detailed in the related blog post, Spring Cloud Services has moved to the latest versions of Spring Framework and Spring Boot, and is now built on a Reactive programming model and Spring WebFlux. Two key components of this redesign are offered as open source Spring Cloud projects.</p>
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<p>The first project is <a href="https://spring.io/projects/spring-cloud-open-service-broker">Spring Cloud Open Service Broker</a>. This project has been available for some time; however, the recent <a href="https://spring.io/blog/2019/04/29/spring-cloud-open-service-broker-3-0-0-released">3.0.0 release</a> has itself been redesigned to incorporate a Reactive programming model and updated to support Spring WebFlux.</p>
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<p>Since we announced <a href="https://spring.io/blog/2017/01/04/introducing-kotlin-support-in-spring-framework-5-0">Spring Framework official support for Kotlin</a> in January 2017, a lot of things happened. Kotlin was announced as an official Android development language at Google I/O 2017, we continued to improve the Kotlin support across Spring portfolio and Kotlin itself has continued to evolve with key new features like <a href="https://kotlinlang.org/docs/reference/coroutines-overview.html">coroutines</a>.</p>
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<p>I would like to take the opportunity of the <a href="https://spring.io/blog/2019/04/10/spring-framework-5-2-0-m1-available-now">first milestone of Spring Framework 5.2</a> to give a status overview of where we are when it comes to Spring and Kotlin. And I will make my best to focus on concrete improvements since I believe Spring and Kotlin share the same pragmatic mindset.</p>
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Webinar on securing microservices with spring and pcf

Bucket4j rate limiting in Java local and distributed based on token/leaky-bucket algorithm

In this post, we take a look at the top 15 Spring core annotations and examples, focusing on @bean, configurations, injections, dependencies, and more.