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.
When developing Android apps, functionality alone isn't enough. Users must be engaged. Many apps have virtually identical functionalities. Why would users opt for yours?
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.
Kotlin has many benefits, including an IntelliJ/Android Studio Plugin. Adding the plugin to a new Android project and converting your code from Java to Kotlin is easy.
Using Anypoint Platform, you can develop a full cycle of API applications. Using RAML, you can define your service’s APIs, build an app, and share the API.
DevOps one-stop shop solutions can slow you down over time. Tools that equal a stage to an environment deployment miss out on the real power of deployment pipelines.
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.
In Extreme Programming, instead of delivering everything you could possibly want on some date far in the future, you deliver the software you need as you need it.
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.
