Systems | Development | Analytics | API | Testing

June 2024

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.

The future of realtime Fan Engagement in sports and media [with video]

As a veteran of the sports media industry with 35 years of experience at Deltatre, Carlo De Marchis recently delivered a thought-provoking keynote at our Fan Engagement Summit exploring the current state of fan engagement, the challenges faced by organizations, and the potential scenarios for the future of realtime fan engagement in sports and media. In the following video and post, Carlo shares what he presented at the Ably Summit with a re-recorded version of his presentation, and summary of key points.

How to Create a MySQL REST API in 6 Easy Steps

According to StackOverflow’s 2022 survey, 46% of professional developers rate MySQL as the most popular database to use in the workspace. As programmers, we should not be bothered with repeatedly writing code which is otherwise readily available, robust, and well-tested. Yet this problem remains persistent in the REST API space, despite the implementation process being by this point in time rote, repetitive, and prone to error and oversight. This oversight is costly for several reasons.

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.

Resque v Sidekiq for Ruby Background Jobs Processing

Background job processing is integral to modern software architecture. Background jobs allow resource-intensive tasks to be handled asynchronously, improving your application’s responsiveness and efficiency. You can use background processing for tasks such as sending emails, data processing, and batch jobs. If you were to run these synchronously, they could significantly degrade the user experience and system performance. Thus, most frameworks have libraries for running background jobs.

GitLab SAST: Using GitLab With Klocwork

GitLab SAST is a combination of GitLab— an integrated solution that covers the entire DevOps lifecycle — and, Klocwork — a static code analysis and SAST tool. When used together, these tools provide software development teams with a powerful GitLab SAST solution. Here we explain the benefits of GitLab SAST.

GPUs Public Preview: Run AI workloads on H100, A100, L40S, and more

Welcome to day two of Koyeb launch week. Today we're announcing not one, but two major pieces of news: Our lineup ranges from 20GB to 80GB of vRAM with A100 and H100 cards. You can now run high-precision calculations with FP64 instructions support and a gigantic 2TB/s of bandwidth on the H100. With prices ranging from $0.50/hr to $3.30/hr and always billed by the second, you'll be able to run training, fine-tuning, and inference workloads with a card adapted to your needs.

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.

Revolutionizing Financial Services with AI: Harnessing Speed and Real-Time Data in the Cloud

In today's financial services landscape, the need for speed is paramount. Traditional financial processes are no longer sufficient to meet the demands of modern consumers and businesses. The synergy of three emerging technologies promises to expedite financial services processes: By implementing a data fabric, financial institutions can break down silos, enabling data to flow freely across the organization.