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.
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.
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?
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.
React continues to be the web framework of choice for many UI developers, surpassing jQuery as the most popular framweork in the 2021 Stack Overflow Developer Survey. It provides an intuitive model for building data-driven user interfaces, and efficiently updates the DOM when this data changes. React pairs nicely with Redux for managing the data that React needs to render interfaces. Redux offers a predictable way to structure and update the data in those frontend applications.
Gin is a high-performance HTTP web framework written in Golang. It contains features and functionalities like routing and middleware out of the box. This helps to reduce boilerplate code, improves productivity, and simplifies the process of building microservices. In this tutorial, I will guide you through the process of building a RESTful API with Golang using the Gin-gonic framework. I will also lead you through building an API to manage the basic details of a company.
Axios is a promise-based HTTP library that lets developers make requests to either their own or a third-party server to fetch data. It offers different ways of making requests such as GET, POST, PUT/PATCH, and DELETE. In this tutorial, I will explain how Axios interacts with applications, describe the structure of Axios requests and responses, how to make requests to an API, and how to write tests for your requests using CircleCI.
Starting with version 16.8, React provides a way to use component and global state without the need for class components. This does not mean that Hooks are a replacement for class components, though. There are some benefits of using class components, which I will describe later in this tutorial.
Most organizations that make software — from small startups to multi-billion-dollar behemoths — use third-party libraries and tools to develop their applications. Modern apps depend on many external components to build and deliver software to customers. These libraries and tools are collectively called the software supply chain. A software supply chain for a typical web app may include components like these.
Without logs, or a good understanding of them, debugging an application or looking through an error stack trace can be challenging. Luckily, Flask logging can change the way you understand debugging and how you interact with logs produced by the application. The Flask logging module gives you a way to record errors over different severity levels. A default logging module is included in the Python standard library, and it provides both simple and advanced logging functions.
High-quality code is efficient and reliable, runs well without bugs, and meets user needs. It can cope with errors or unusual conditions. It is also easy to understand, maintain, and expand with new features. Additionally, its portability means that it can run on as many machines as reasonably possible. Development teams work with codebases that are constantly changing. They add, delete, and modify existing code to improve speed or implement new features.
Automated tests are especially important in large applications that have lots of moving parts. It is smart to learn about many methods of testing applications so that you can provide as much coverage as possible. If you are not familiar with using snapshots in testing, read on. Snapshot tests are written as part of frontend test automation.
