If you’re using Docker, the combination of Prometheus and Grafana offers an extremely enticing option to explore for reasons of ease of use and functionality.
Clustering and high availability configuration with RabbitMQ are pretty simple. Its UI management console offers good s support in the cluster monitoring process.
Moving to a microservices architecture is not just a matter of replacing method calls with HTTP requests. Welcome to the world of containers, reactive stacks, and more.
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.
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.
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.
If you have Redis, Node.js, and the Heroku toolbelt installed on your machine, then you've got everything you need to build a real-time chat application.
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