In April, we rolled out several exciting updates including Connected Apps for streamlined mobile app releases, advanced build triggers for precise control, a refreshed Workflow Editor, and the Gradle Critical Path Analyzer. Dive into the details and stay updated with our latest product enhancements by reading the full recap!

In the dynamic space of mobile app development, testing methodologies play a pivotal role in ensuring the quality and functionality of applications across diverse devices and platforms. Traditionally, on-premise physical device testing has been the norm, offering unparalleled insights into real-world scenarios. However, real device cloud testing has revolutionized the landscape, providing newfound agility and scalability.

The volume of unstructured data — such as PDFs, images, video and audio files — is surging across enterprises today. Yet documents, which represent a substantial portion of this data and hold significant value, continue to be processed through inefficient and manual methods.

Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.

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.

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!

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.

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.