In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.

Application programming interfaces (APIs) are everywhere, and they play a role in running nearly everything in our digital-centric lives. Each time we launch a web page or an app on our phone, dozens of API calls are happening in the background to render an experience heavily customized to you. Increasingly, even the everyday items in your home are talking to APIs — from smart speakers like Amazon Echo to appliances, electricity meters, and lightbulbs.

Microsoft Graph API allows developers to access data and services across a wide range of Microsoft cloud services. Admittedly setting up permissions and security can be challenging, but once that is sorted, you will be able to access Microsoft services such as Office365, Outlook and Azure. Calling the Graph API with Linx allows you to efficiently automate tasks, or integrate with Microsoft products to ensure that functionality and data is accessible by your other systems.

APIs are the backbone of the digital world. Every time you use an application such as Facebook or Instagram, or even check the weather, it is likely that some APIs are at work. They are the middleman of apps and web services, and API testing is crucial to ensure that this middleman works seamlessly. In this article, we’ll explore the concept of API testing in depth. We’ll also show you how easy and simple it is to automate API testing with just a few steps.

Creating RESTful APIs is essential for efficient web service development. With this article, you’ll learn to create restful apis using Node.js and Express by following a concise, step-by-step approach designed for real-world application. From server setup to endpoint creation and securing data, we’ve got you covered. This comprehensive guide will ensure you grasp the fundamentals while also diving into the more nuanced aspects of RESTful API development.

Terence Bennett - April 9, 2024 Today’s businesses rely on data to operate. Everything from collecting customer data to recording data points from business processes contributes to reaching goals. Big data doesn’t mean much, though, when you keep it separated in silos. When you unify data, you create more data analytics opportunities that lead to valuable insights.

Kubernetes is an open-source container orchestration system for automating deployment, scaling, and management of containerized applications. It groups containers into logical units for easy management and discovery. API gateways sit between clients and microservices. They act as a reverse proxy to accept all API calls, then route and transform requests to appropriate microservice.

Many businesses are on the lookout for robust alternatives to popular tools like CDATA. Whether it’s due to cost, specific functionality, or compatibility requirements, finding the right tool can significantly impact your data management strategies. Here’s what you need to consider when looking for a CDATA alternative: Table of Contents.