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.
Mockito2 has made improvements over its predecessor, including the ability to mock final classes. Its new opt-in feature lets you take mockery to a new level.
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?
Gatling and JMeter have different features based on what you're looking for, but they're not without their disadvantages. Taurus can help fill in the gaps.
Unified Functional Testing is an eminent force in the test automation space. However, Selenium offers many benefits. At the same time, it isn't without its challenges.
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.
Data-driven testing facilitates test procedures, demonstrates more capability in discovering bugs, and ensures quality with logical input to assure successful deployment.
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