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.
Using a poor-quality server wastes everyone's time because the build takes too long to finish, resulting in intermittent test results and frustrated engineers.
Let's look into the Apache Ignite Cluster Layer, a GitHub project that includes the basic building blocks needed to implement a proposed microservices-based architecture.
BDDfire allows you to set up the entire framework with code quality, browser testing, cloud testing, API testing, and Docker integration by running three simple commands.
Alpine Linux-based Docker images are small, but they can still bloat up quickly. If you're concerned about image size, search for alternatives, like Minideb.
I've used OpenStreetMap to render maps, but ran into a problem with my Retina MacBook Pro. I needed special tiles rendered with a big scale factor to make them sharp.
Since GKE runs on Kubernetes, we had to do some interesting changes to the server install instructions to use GKE to manage the Docker container pmm-server uses.
If you use a vSphere infrastructure, then vCheck can help. The vCheck framework is designed to run checks against your infrastructure to determine operational issues.
There are times when a MapReduce job exceeds its memory limits. This article presents an overview of how YARN monitors the memory for containers and provides the technique to fix this issue.
If you're looking to get started with Docker, these tips will keep your Dockerfile up to snuff. Pin your dependencies, consider the order of your statements, and clean up.
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