Data lakes can save your enterprise money but come with unique challenges. These tips will help you overcome three of the biggest issues.

Grape is a popular Ruby framework for building RESTful APIs. Exception handling plays a crucial role in ensuring the stability and reliability of any application, including those made with Grape. This article will explore the basics of Grape exception handling, including customizing exceptions. We'll also touch on some best practices, and how to integrate your app with AppSignal for enhanced error monitoring and management. Let's get started!

Back in August, SmartBear acquired Stoplight, a leader in API design and documentation. Since this acquisition, our focus has been on seamlessly integrating Stoplight's open-source tools—Spectral, Elements, and Prism—into SwaggerHub. Our goal is to simplify complex API development tasks and address the common challenges encountered in API development.

Every company around the globe is trying to get in on the GenAI wave to simplify user experiences with natural language. And this is especially true in the realm of data and analytics. Imagine if you could enable all of your marketers to evaluate the performance of their campaigns with a simple question? Or, if you could provide all of your insurance risk managers with the ability to analyze the risk profile of their claims with the power of search and automated insights?

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. To deliver on these goals, developers must have the ability to manipulate and analyze information efficiently. Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect.

This blog explores how DreamFactory leverages its robust features to perform database analysis with AI, ensuring secure and efficient data operations. We will discuss the platform’s ability to generate dynamic APIs, provide real-time data insights, and maintain stringent security measures to protect data integrity.

We are thrilled to announce Tricentis Copilot solutions, a collection of advanced generative AI capabilities available across our products that help customers boost their efficiency throughout the entire testing lifecycle. With Tricentis Copilot solutions, you can autogenerate manual tests from requirements, optimize your portfolio, autogenerate custom code, and get meaningful insights.

If you were to stop someone walking down the street and ask them how long artificial intelligence, or AI, has been a hot topic, they might say it’s something that’s emerged mostly in recent years. But AI has been around for a long time, with the term first being coined as long ago as 1955. Generative AI however is a different beast, and one that's largely responsible for moving the topic of AI to the tip of everyone’s tongues – from consumers to enterprises alike.

From the end user’s perspective, the microapps and microservices often seem to provide the same functionality. However, development teams need to think about microapps vs. microservices when building products. Before you commit time to microapps or microservices architecture, take some time to consider how these options will affect user experience (UX), user interface (UI), and security of your websites, web apps, and mobile apps.

When comparing the types of APIs (application programming interfaces), API architecture types and different API categories are incredibly important. The following article will discuss API architecture and protocol types (REST and SOAP) and three types of API categories (open, internal, and partner). Here’s the key things to know about the types of APIs your organization might need: Table of Contents.