Engineering Insights

OpenAI acquires Global Illumination

The entire team has joined OpenAI.

Konabos empowers an industry giant to deploy 50% faster with a composable stack

When realized their team’s productivity was being interrupted by inefficient collaboration, they turned to the full-service digital agency Konabos for help. supported American Bath Group in moving away from their monolithic setup—the cause of their lagging dev velocity—in favor of a composable stack comprised of Vercel, Next.js, and Kontent.AI. Now with Vercel’s streamlined deployments and infrastructure, American Bath Group can deploy 50% faster, shorten review cycles, and enjoy a better deve

Introducing IP restrictions

Starting today, you can add an extra layer of security in connecting to your database by defining which IP addresses can connect to each database branch. Giving your organization the tools you need to operate your databases securely is a top priority, and IP restrictions, launching today in beta, are one additional way to provide an extra layer of security. While PlanetScale passwords have limited access by default, with each password valid for a single specific branch, some organizations may pr

Using GPT-4 for content moderation

We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.

Hydrogen 2 projects can now be deployed with zero configuration

Vercel now supports and automatically optimizes your  as of Vercel CLI . When importing a new project, it will detect Hydrogen and configure the right settings for optimal performance — including using  for server-rendering pages.Hydrogen 2 projectsVercel Edge Functionsv31.2.3 Deploy the  or run command in your terminal to get started.Hydrogen templatevercel init hydrogen-2 Read more

Storing time series data in sharded MySQL to power Query Insights

Every day PlanetScale processes more than 10 billion of our customers’ queries. We need to collect, store, and serve telemetry data generated by these queries to power Insights, our built-in query performance tool. This post describes how we built a scalable telemetry pipeline using Apache Kafka and a sharded PlanetScale database. Insights requirements To show you Insights, we pull from the following datasets: Database-level time series data (e.g., queries per second across the entire database).

Accelerate in Preview: Global Database Cache & Scalable Connection Pool

Accelerate is going into Preview! Learn how to enable high-speed, scalable applications with a global cache and connection pooler.

Hugging Face Hub on the AWS Marketplace: Pay with your AWS Account