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.
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.
Merging continuous deployment and serverless tech is possible. Assuming you've got a pivot machine, you can combine the power of your Octopus deploys and AWS Lambda.
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.
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