Because computers rely on data to execute instructions, computing will always entail data interaction. The amount of data can be overwhelming in real world applications, so developers must consistently devise methods to access it quickly and efficiently in a programmatic way. A solid understanding of data structures is a great advantage for teams that specialize in developing tools and systems. Organizing data optimally maximizes efficiency and makes data processing easy and seamless.
In this tutorial, I will show you how to set up a continuous deployment pipeline to deploy a Laravel application to the Heroku platform with minimum hassle. Automating deployment helps teams limit human intervention during the deployment process, reducing the risk of errors and streamlining the entire software release process.
To keep ahead of the curve, many organizations are looking at how to evolve their technical processes to accelerate their IT infrastructure development. Fast and robust deployments to the latest platforms are key to achieving the low lead times that enable this evolution. Two of the most widely-used technologies to host these deployments are serverless functions and containers. What are they, how do they differ, and how do you decide which is best for your application?
Writing tests in any programming language can be difficult, but it does not have to be. In this tutorial, I will show you how you can easily write and run tests using Flask and Pytest. As a bonus, we will also integrate a CI/CD pipeline to run tests on a Flask app using CircleCI. Be sure to check out our other Flask tutorials to learn about application logging, authentication decorators, and automating Flask deployments.
It is an exciting time to be a startup. Our vast technological landscape has made powerful digital tools available to businesses of all sizes, making starting (and scaling) an organization easier than ever before. In an era where technology is a fundamental building block of almost every business, methodologies like DevOps have become ubiquitous across many industries.
If you are new to Docker, you may find it challenging to understand all the terms. It can seem like everyone has a different idea of what Docker terms mean, and sometimes, terms get used interchangeably. For instance, you — like others who are learning about Docker — may wonder how a Docker image differs from a Docker container. Their contrasts are subtle but significant.
