When moving from a monolith to a distributed system, tracing and debugging can get really hard. Luckily, there are some things you can do to make it easier.
Hexagonal Architecture divides work inside and outside of an app instead of into layers. This overview covers the benefits and uses of the Hexagonal style in your work.
Configuring Java security policies is an important but extremely time-consuming task. See, how much work it takes for a small project like Spring Pet Clinic.
If compliance and security are a concern, you can set up Cassandra clusters with encryption in mind using SSL while ensuring nodes can still communicate with each other.
Creating an Octopus step template to create and push a Docker image to DockerHub is a good way to move from a VM to Containers while keeping the current infrastructure.
This in-depth look at how to Spring Boot Docker images to the Amazon EC2 Container Registry provides a good example of Spring, Java, the cloud, and container usage.
It's tempting to provision more memory to your VM than you need, but that can cause headaches—and containers might make it worse. The answer lies in auto-scaling.
Microservies and Docker have become the peanut butter and jelly of modern app delivery. They allow organizations to work in a consistent, isolated runtime environment.
Service discovery is an essential component of modern networks. This walkthrough of Hazelcast's service discovery SPI covers finding and adding new services and nodes.
Ever tried to start up a Spring Boot app only for a busted cache to stop it in its tracks? Cache abstraction and error handling might be a way to keep things smooth.
Docker Swarm makes it relatively easy to scale apps. With the help of Terraform and Packer, you can set up scaling for an app using cloud-native infrastructure.
Spring Boot, Maven, and Tomcat can form a powerful alliance. This sample web app shows the interplay between them and how you can easily configure them for your needs.
Sibanjan Das offers up a tutorial for building a web-based cluster and prediction analysis application through using R with the open source Shiny framework. Oh yeah, and he embedded the app directly into this DZone article... shine on you crazy data scientist.
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