Systems | Development | Analytics | API | Testing

AWS Regions: Build, Run, Scale on AWS with Koyeb

Today, we are announcing AWS regions on Koyeb for businesses. The fastest way to build, run, and scale your apps on AWS infrastructure. Over the last months, we've gotten more and more requests from businesses established on AWS to have a way to deploy Koyeb services on AWS infrastructure to: Our platform's core technology is cloud-agnostic and can be operated on top of anything, from high-performance bare metal servers to IaaS providers.

Volumes Technical Preview: Blazing-fast NVMe SSD for Your Data

Ready? Day three of Koyeb launch week is on! When you deploy your apps on Koyeb, your data is on ephemeral disks. While this works great for stateless applications, this is challenging for stateful workloads like databases. Just in time to save the day, we are launching the technical preview of Volumes! You can now use Volumes to persist data between deployments, restarts, and even when services are paused. We're gradually onboarding users to ensure the best experience for everyone.

How to bridge the gap between humans and AI

In this episode, hear Sadie St. Lawrence’s thoughts on how to effectively leverage Generative AI at work by asking the right questions, and how the technology can help you to expand on your divergent thinking. There’s so much more to the future of work with Generative AI now at its core. Sadie shares where we’re headed, and how we can bridge the gap between humans and AI.

Mastering StudioAssist: Your Essential Guide to Data-Driven Testing and Reusing AI-Generated Test Cases

As a software tester, you constantly look for ways to streamline your workflow and enhance your testing capabilities. StudioAssist, an intelligent feature in Katalon Studio, is designed to make your life easier by automating repetitive tasks and generating efficient test scripts. This blog will serve as your cookbook, providing you with step-by-step instructions on how to harness the full potential of StudioAssist.

What is a Headless Data Architecture?

The headless data architecture. Is it a fad? Some marketecture? Or something real? In this video, Adam Bellemare takes you through the basics of the headless data architecture and why it’s beginning to emerge as its own respective pattern. Driven by the decoupling of data computation from storage, the headless data architecture provides the basis for a modular data ecosystem. Stream your data for near real-time low latency use cases, or convert it to an Iceberg table for analytical use cases.

Empowering Enterprise Generative AI with Flexibility: Navigating the Model Landscape

The world of Generative AI (GenAI) is rapidly evolving, with a wide array of models available for businesses to leverage. These models can be broadly categorized into two types: closed-source (proprietary) and open-source models. Closed-source models, such as OpenAI’s GPT-4o, Anthropic’s Claude 3, or Google’s Gemini 1.5 Pro, are developed and maintained by private and public companies.