When building web applications, unit testing your individual components is certainly important. However, end-to-end testing provides assurance that the final user experience of your components chained together matches the expected behavior. Testing web application behavior locally in your browser can be helpful, but this approach isn’t efficient or reliable, especially as your application grows more complex.

Ideally, end-to-end tests in your browser are automated and integrated into your CI pipeline. Every time you commit a code change, your tests will run. Passing tests gives you the confidence that the application — as your end users experience it — behaves as expected.

In today’s fast-paced digital world, companies are looking for ways to securely expose their APIs and microservices to the internet. MuleSoft Anypoint Flex Gateway is a powerful solution that solves this problem.

Let's walk through deploying the Anypoint Flex Gateway on Heroku in a few straightforward steps. You'll learn how to connect your private APIs and microservices on the Heroku platform through the Anypoint Flex Gateway and the Anypoint API Manager, without the hassle of managing infrastructure. Get ready to unlock the potential of this potent pairing and, in the future, integrate it with Salesforce.

If you’re an API developer working with Node.js, then you’re probably familiar with Express. But have you tried out the Fastify framework to build with power, speed, and convenience? In this walkthrough, we build a full-featured, easy-to-consume API with Fastify. And we deploy it to the cloud with ease. We show you how to:

• Get started working with Fastify to build an API
• Implement API authentication by using a JSON web token (JWT)
• Use Fastify’s Swagger plugins to generate an OpenAPI specification
• Consume the OpenAPI specification with Postman, giving you an API client that can send requests seamlessly to your back-end API
• Deploy your application to Heroku

How to connect your GPT on OpenAI to a backend Node.js app

Late in 2023, OpenAI introduced GPTs, a way for developers to build customized versions of ChatGPT that can bundle in specialized knowledge, follow preset instructions, or perform actions like reaching out to external APIs. As more and more businesses and individuals use ChatGPT, developers are racing to build powerful GPTs to ride the wave of ChatGPT adoption.

How to Build and Deploy a Node.js App That Uses OpenAI Functions

Near the end of 2023, ChatGPT announced that it had 100M weekly users. That’s a massive base of users who want to take advantage of the convenience and power of intelligent question answering with natural language.

With this level of popularity for ChatGPT, it’s no wonder that software developers are joining the ChatGPT app gold rush, building tools on top of OpenAI’s APIs. Building and deploying a GenAI-based app is quite easy to do—and we’re going to show you how!

There are always challenges when it comes to debugging applications. Node.js' asynchronous workflows add an extra layer of complexity to this arduous process. Although there have been some updates made to the V8 engine in order to easily access asynchronous stack traces, most of the time, we just get errors on the main thread of our applications, which makes debugging a little bit difficult. As well, when our Node.js applications crash, we usually need to rely on some complicated CLI tooling to analyze the core dumps.

This blog post is adapted from a talk given by Julián Duque at NodeConf EU 2019 titled "Let it crash!."

Before coming to Heroku, I did some consulting work as a Node.js solutions architect. My job was to visit various companies and make sure that they were successful in designing production-ready Node applications. Unfortunately, I witnessed many different problems when it came to error handling, especially on process shutdown. When an error occurred, there was often not enough visibility on why it happened, a lack of logging details, and bouts of downtime as applications attempted to recover from crashes.