Systems | Development | Analytics | API | Testing

Using Moesif, Kong, and Stripe to Monetize Your AI APIs - Part 1: Integrating The Platforms

As the wave of AI sweeps through the technology landscape, many have hopped on board. Interestingly enough, and often overlooked, is that many AI capabilities are served through APIs. Fancy user interfaces integrate with the actual mechanisms where the magic happens: the APIs. So, when generating revenue through AI platforms, the APIs drive the revenue.

Serverless GPUs in Private Preview: L4, L40S, V100, and more

Today, we’re excited to share that Serverless GPUs are available for all your AI inference needs directly through the Koyeb platform! We're starting with GPU Instances designed to support AI inference workloads including both heavy generative AI models and lighter computer vision models. These GPUs provide up to 48GB of vRAM, 733 TFLOPS and 900GB/s of memory bandwidth to support large models including LLMs and text-to-image models.

Overcoming scale challenges with AWS & CloudFront - 5 key takeaways

The Ably service handles massive amounts of data throughput and concurrent connections for many customers while maintaining a highly reliable and available service, with a 5x9s uptime guarantee. Ably has no scale ceiling, and that’s challenging work (it’s one of the reasons I joined Ably). While the challenges we face in delivering our service are compelling, we sometimes face novel internet scale problems, such as breaching the limits of AWS services!

Complete Guide to SwiftUI Lists for Developers

Whether it’s the groceries you need from the store, the chores your mom left on the kitchen counter for when you got home from class, or even things to do before you die, lists are everywhere. Presenting data in a column (or a list) is the most familiar and natural way to organize information in both the analogue and digital worlds.

Enforcement of Apple Privacy Manifest starting from May 1, 2024

Here's how Apple's upcoming Privacy Manifest enforcement, starting May 1, 2024, will change the way app developers handle privacy. Learn the details of the new requirements, from creating privacy manifest files to meeting crucial deadlines, to ensure your app meets Apple's stringent privacy standards.

What Are the Security Risks Associated with AI-Generated Code? | Vandana Verma | #QonfX 2024

In this session, Vandana Verma explores the intersection of AI and security in software development. Vandana delves into the potential of AI-powered coding tools like GitHub Copilot and ChatGPT to accelerate project delivery while highlighting the inherent security challenges they pose. Through a hands-on demonstration, Vandana showcases the construction of a demo app using GitHub Copilot, followed by the identification and exploitation of vulnerabilities within the AI-generated code.