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app.build by Neon: Spawning 1000s of AI-generated apps at scale with Koyeb

It's 2025, you can build a full-stack app by telling an AI what you want. Inspired by projects and tools like v0, Create, Replit, and Same, Neon built app.build: an open-source AI agent that builds and deploys full-stack web apps, straight from your terminal. Built for developers, app.build is local-first, extensible, and fully open source.

How Automation Simplifies On-Prem to Cloud Migration

Automation can make cloud migration faster, cheaper, and safer. It reduces migration time by 50%-80%, lowers costs by up to 30%, and minimizes risks like data loss and downtime. Manual migrations often fail due to human error, complexity, and unforeseen expenses. Here's how automation solves these challenges.

Automating Hybrid Cloud Storage with IaC, Red Hat Ansible and VSP 360

At the heart of any enterprise data management strategy is the driving principle of infrastructure as code (IaC), the practice of defining, provisioning and managing infrastructure through code, and a foundational approach for enabling continuous delivery (CD).

How eXalt Built a Secure and Scalable ChatGPT Alternative with Koyeb

eXalt is a French consulting firm with over 1200 consultants and offices in Paris, New York, London, Madrid, Lisbon, Brussels, and throughout France. They specialize in Finance and Tech, offering expertise in data science, cybersecurity, software development and IT infrastructure, project and product management, and more. When eXalt consultants are on assignment, they often need fast, reliable access to a ChatGPT-like tool to help with research and problem-solving.

Django AWS deployment with Elastic Beanstalk

Almost every web application is built for end-users to view and use. The application deployment process is an important operation in software development because it allows software to fulfill its purpose. This tutorial is primarily for software companies and developers to aid them in deploying and scaling web applications and services using a platform that automatically handles deployment with ease. Therefore, in this tutorial, we will be deploying a Django application to AWS.

Demystifying the ATO Process: What Government Teams Need to Know About Cloud Security

Table of contents What is an ATO and why does it matter? DoD security levels Federal civilian security levels Key policies governing ATOs Common challenges in obtaining an ATO Streamline the ATO process with an approved cloud The federal government has made cloud computing a strategic priority. Government organizations that embrace the cloud gain security, flexibility, and cost savings.

Serverless Postgres GA: Production-Ready Databases for Large Scale and AI Apps

Today, we’re excited to announce the general availability of Serverless Postgres — a fully managed, fault-tolerant, and effortlessly scalable Postgres database service purpose-built for large scale and AI applications. Since the public preview, over 50,000 databases have been created for use cases ranging from multi-tenant SaaS to AI agent memory, RAG pipelines, and ephemeral dev environments.

How Anyshift Scales Real-Time Queries Across Millions of Nodes with Koyeb

Anyshift provides AI context for your infrastructure, powered by Annie—an AI infrastructure assistant trained on your environment. From answering complex infrastructure questions to suggesting Terraform code and catching hidden issues, Annie helps teams manage, monitor, and optimize their infrastructure with ease and precision. Unlike generic AI copilots, Anyshift provides context-aware insights based on your actual infrastructure and codebase—not just LLM guesses.

Achieve 5x Faster Inference Speeds on Serverless GPUs with Pruna AI and Koyeb

Today, we are excited to announce our partnership with Pruna AI. Pruna AI is the optimization engine built to simplify and accelerate scalable inference. Koyeb offers a serverless cloud platform for teams to deploy ML and AI models on high-performance GPUs, CPUs, and accelerators - globally. By combining Pruna with Koyeb, you can speed up your model optimizations, achieve 5x faster inference speeds, and run them on scalable, high-performance serverless infrastructure.