As monolithic systems become too large to deal with, many enterprises are drawn to breaking them down into the microservices architectural style. It is a worthwhile journey you should consider, but not an easy one.
Let’s see what to decouple and when!
#architecture #monolith #microservices #refactoring
https://martinfowler.com/articles/break-monolith-into-microservices.html

In this article you will explore most common mistakes in microservices that cause technical debt as well as suggestions of what you could be doing instead.
#architecture #microservices #middle
https://www.e4developer.com/2018/02/11/common-technical-debt-in-microservices/

Microservices are eating the world! One of the many other challenges that Microservices brings, is the way we test changes made on them. Learn how you can utilise Consumer-Driven Contract Testing with Spring Cloud Contract to deal with this challenge.
#spring #architecture #microservices
https://aboullaite.me/a-practical-introduction-to-spring-cloud-contract/

Wondering how to take up Kubernetes and Spring Boot when scalability and elasticity is a big requirement in your architecture? In this article you can learn how to use both to build microservices that are easy to scale up and down.
#java #microservices #kubernetes #spring #springboot
https://dzone.com/articles/building-elastic-microservices-with-kubernetes-and

Planning to go in for the microservice paradigm or already took over it? Learn about the different types of microservices patterns, synchronous and asynchronous, and the strengths and trade-offs of each.
#atchitecture #microservices #middle
https://dzone.com/articles/patterns-for-microservices-sync-vs-async

When things are simple, they are easier to understand, easier to extend and easier to modify. They are better. Simplicity is the ultimate compliment you can give to an architecture or a framework. In this article, you are going to look at how four different frameworks- Spring Boot, Javalin, Vert.x and Micronaut; approach this quest for simplicity.
#jvm #java #frameworks #microservices #micronaut #springboot #middle #senior
https://www.e4developer.com/2018/07/08/the-quest-for-simplicity-in-java-microservices

When you design and build applications at scale, you deal with two significant challenges: scalability and robustness. You should design your service so that even if it is subject to intermittent heavy loads, it continues to operate reliably. Check this amazing article and see how Message Queues, Spring Boot and Kubernetes can change the game.
#architecture #microservices #spring #springboot #kubernetes #middle #senior
https://learnk8s.io/blog/scaling-spring-boot-microservices

Check this analysis from a survey of the DZone community with a lot of detailed diagrams regarding the popularity of microservices, what programming languages are used the most and which are the prevailing frameworks, tools and trends in the microservices world.
#microservices #statistics #trends
https://dzone.com/articles/dzone-research-microservices-priorities-and-trends

There is probably a bunch of Java libraries and frameworks in your list when starting a microservice architecture implementation. With this tutorial you will go through the most popular and battle-tested ones that can certainly suit your specific needs.
#java #architecture #microservices #middle #senior
https://www.javacodegeeks.com/2018/09/microservices-java-developers-java-jvm-landscape.html

Microservices architecture (MSA) has become very popular. However, one common problem is how to manage distributed transactions across multiple microservices. In this post you will find the problem explained and discover possible patterns that could solve it.
#architecture #microservices #middle #senior
https://developers.redhat.com/blog/2018/10/01/patterns-for-distributed-transactions-within-a-microservices-architecture/

You probably face some key challenges around microservices architecture testing. The selection of the right tools is one of the elements that help us deal with the issues related to those challenges. Let's explore a testing stack for microservices applications, comprised of the Hoverfly, Pact, and Gatling tools and frameworks.
#java #architecture #microservices #tools #senior
https://dzone.com/articles/testing-microservices-tools-and-frameworks

Ktor is a framework for building asynchronous applications on the server and client side fully written in Kotlin. Here you will see the features of Ktor framework by the example of a simple microservices based system.
#kotlin #architecture #microservices #ktor #middle #senior
https://piotrminkowski.wordpress.com/2018/10/09/kotlin-microservices-with-ktor/

You have different choices when it comes to implementing the communication of your microservices. In this article, you will see how Apache Kafka improves upon the historical HTTP REST API/message queuing architectures used in microservices and how it further extends their capabilities and aims to solve their problems.
#kafka #microservices #architecture #middle #senior
https://dzone.com/articles/how-kafka-solves-common-microservice-communication

Microservices for Java Developers: Performance and Load Testing
These days numerous frameworks and libraries make it is pretty easy to get from literally nothing to a full-fledged running application or service in a matter of hours. However, the decisions which frameworks make on your behalf (often called “sensitive defaults”) are far from being optimal (or even sufficient) in the context of the specific application or service.
In this tutorial you will get a great overview about performance and load testing, focusing on the tools to help you with achieving your goals and also highlight the typical areas of the application to tune.
#performance #testing #microservices #architecture #tools #middle #senior
https://www.javacodegeeks.com/2019/02/microservices-for-java-developers-performance-and-load-testing.html

How Do We Handle Failures in Microservices?
Dalia Borker explores the use of caching frameworks to improve resilience and performance in enterprise microservices systems with Redis, Pivotal Cloud Cache, and Hazelcast.
#microservices #architecture #redis #spring #hazelcast #middle #senior
https://www.infoq.com/presentations/failure-cache-redis-pcc-hazelcast

Microservices Anti-Patterns
In this post, a developer talks about the microservices antipatterns that he's seen while working with clients of all sizes.
https://dzone.com/articles/microservices-anti-patterns
#microservices #architecture #senior