Systems | Development | Analytics | API | Testing

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How to Monetize AI APIs: Choosing The Right Metric

Regarding charging for API usage, we usually gravitate towards charging per API call. While this can work for many use cases, it’s not optimal for everyone. This is where choosing the right metric to bill upon and finding a platform that supports it is crucial. In this blog, we will talk about choosing the right metric to bill upon and how to implement it in Moesif. Let’s begin by digging into what a billing metric is and how to decide which one is best to use with your AI APIs and services.

Reverse Tron and the Art of Bringing Code to Life

Ever wondered what it's like to have a virtual robot in your toolkit, a trojan horse in your test scripts, or a lil' rockstar named Selenium? Welcome to the world of test automation, as unfolded by none other than Jason Huggins. In this part 2 episode of our interview with Jason, we continue to dive into the world of testing. You’ll learn how Java and Python enthusiasts have propelled Selenium to global fame with impressive stats and precision, and Jason also sheds light on the power of community.

Using GraphQL API in Android

Since it was created by Facebook in 2012 and made publicly available in 2015, GarphQL has changed everything about how we fetch data from servers for our front-end apps. Most front-end clients typically use REST APIs to retrieve data from the server, this includes mobile apps for platforms like Android, iOS, and Flutter, as well as JavaScript frameworks like React, Angular, Vue, and Next. A huge advantage of GraphQL is that it enables front-end clients to request only the API they require.

Ensuring Seamless Transactions: Your Guide to Overcoming Payment Testing Complexities

It’s probably the most frustrating issue customers encounter. After all, they took the time to search for a product they wanted to purchase, made it all the way to checkout, and entered their information, only to have the transaction fail. If they’re like most online shoppers, chances are this experience left them frustrated enough to take their business elsewhere.

Build Scalable AI-Enabled Applications with Confluent and AWS

In this video, Confluent and AWS address enterprises' challenges in deploying generative AI and how Confluent Cloud and Amazon Bedrock empower organizations to build scalable, AI-enabled applications. We'll explore how Confluent's comprehensive data streaming platform enables you to stream, connect, and govern data at scale, creating real-time, contextualized, and trustworthy applications that differentiate generative AI.

15+ Mobile App Testing Statistics

As global app downloads have doubled every quarter since 2015, and users now spend more time on apps than websites, the need for thorough mobile app testing is more critical than ever. The app testing market is projected to reach $13.6 billion by 2026. This blog will cover key mobile app testing statistics and explore why it is essential for delivering high-quality user experiences and maintaining competitive advantage.

Non-functional Requirements: What They Do, Examples, and Best Practices

Developing high-quality products involves careful definition and tracking of both functional and non-functional requirements (NFRs). But what exactly are non-functional requirements? And what's the best way to keep track of them? Let’s dive into what non-functional requirements are and how they compare to functional requirements, review some common types of non-functional requirements with examples, learn best practices for writing them, then discuss how to track and manage them.

How to Improve API Flexibility with Custom SQL Endpoints

DreamFactory's custom SQL endpoints let you create APIs that are tailored to your exact needs, making your data more flexible and powerful. In this article, we will show you how to set up these endpoints, provide practical examples, and explain how to connect endpoints to your external systems.

Unravel Data Security and Trust

Privacy and security are top priorities for Unravel and our customers. At Unravel, we help organizations better understand and improve the performance, quality, and cost efficiency of their data and AI pipelines. As a data business, we appreciate the scope and implications of privacy and security threats. This data sheet provides details to help information security (InfoSec) teams make informed decisions. Specifically, it includes: For additional details, please reach out to our security experts.