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Flask is the most popular micro-framework for web programming in Python. Known for its lightweight build and flexibility, it is a fan favorite amongst beginners because of how easy it is to get started with, especially for building prototypes and small-scale projects. Even though Flask is one of the faster frameworks out there, there’s almost always scope for improving performance in web applications. Things might run fine when you serve minimal, static websites with ample compute resources.

In this article, we are going to explore why the Stripe developer experience is so passionately supported by thousands of developers globally. One of Stripe’s missions is to increase the GDP of the internet, and over the last decade, they’ve successfully executed 250 million API requests per day and over 91 billion requests per year through their APIs.

Static sites (websites) are not new. In fact they’ve been around since the era of Web 1.0. Back in those dim and distant days the internet only had a few contributors, so managing and maintaining a static website was fairly hassle-free, they use to have a couple of static html files. However, the needs of creators and consumers have changed dramatically since then. So we need a new technology to generate static sites, befitting the resources and innovative spirit of the digital revolution.

In the previous two articles in this series, we created our Lambda function and the Alexa Skill. In this tutorial, we’ll learn how to connect Amazon Alexa Skill to the AWS Lambda function to trigger Bitrise builds via a voice user interface.

Providing developers and the Node ecosystem NodeSource Node.js Binary Distributions via.rpm, .deb as well as their setup and support scripts is one of our primary contributions to the community. Our binaries have been downloaded more than 100m times in the last year, powering applications across the globe.

Image credits: Julia Sowells With the onset of the COVID pandemic in 2020, the use of telemedicine and telehealth services has soared. An article by McKinsey estimated that in 2021, the use of telehealth was 38 times higher than pre-COVID years.

Before continuous integration was invented, developers had to work on code separately before merging it into the end product. This technique had a high chance of error. If something was left out, it took time to determine the problem. Furthermore, communication between team members became difficult as the project grew. The larger the project, the more developers, engineers, and project owners were supposed to be faithful to each other’s schedules.