# Request-Based Autoscaling Is Now Generally Available on App Platform

DevFeed: [Request-Based Autoscaling Is Now Generally Available on App Platform](<https://devfeed.tech/articles/request-based-autoscaling-is-now-generally-available-on-app-platform-19938.md>)

Original publisher: [Read original article](<https://www.digitalocean.com/blog/request-based-autoscaling-app-platform>)

Author: Greeshma Pillai

Published: 2026-05-22T18:02:26Z

Content type: release

Language: en

Sources: [DigitalOcean](<https://devfeed.tech/sources/digitalocean.md>)

Topics: [autoscaling](<https://devfeed.tech/topics/autoscaling.md>), [Digital Ocean](<https://devfeed.tech/topics/digital-ocean.md>), [App](<https://devfeed.tech/topics/app.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Containers](<https://devfeed.tech/topics/containers.md>)

Tags: [autoscaling](<https://devfeed.tech/tags/autoscaling.md>), [capacity](<https://devfeed.tech/tags/capacity.md>), [container](<https://devfeed.tech/tags/container.md>), [containers](<https://devfeed.tech/tags/containers.md>), [cpu](<https://devfeed.tech/tags/cpu.md>), [digitalocean](<https://devfeed.tech/tags/digitalocean.md>), [http](<https://devfeed.tech/tags/http.md>), [load](<https://devfeed.tech/tags/load.md>), [performance](<https://devfeed.tech/tags/performance.md>), [product-launch](<https://devfeed.tech/tags/product-launch.md>), [product-updates](<https://devfeed.tech/tags/product-updates.md>), [production](<https://devfeed.tech/tags/production.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

## AI overview

DigitalOcean App Platform now generally supports request-based autoscaling for shared and dedicated CPU instances. Apps can scale horizontally using live HTTP requests per second and P95 response latency, with containers scaling up when thresholds are exceeded and down when load falls.

## Source excerpt

Traffic doesn't spike on a schedule. A product launch, a viral moment, or a flash sale can send request volume through the roof in seconds, long before your CPU metrics catch up. That gap is where performance suffers. Today, we're excited to announce that request-based autoscaling on DigitalOcean App Platform is now generally available. Your apps can now automatically scale based on live HTTP traffic signals (requests per second and P95 response latency) so your infrastructure reacts to what's actually happening, not what happened minutes ago. Now Available for Shared and Dedicated CPU Instances Until now, autoscaling on App Platform required a dedicated CPU plan. That meant a good portion of App Platform users (anyone running on shared CPU instances) had no path to automatic horizontal scaling at all. That changes today. Request-based autoscaling works on both shared and dedicated CPU instances. Whether you're running an early-stage project on a shared plan or a high-throughput production service on dedicated resources, you can now configure autoscaling to match your traffic--no plan upgrade required. Faster, More Responsive Scaling CPU-based autoscaling is reactive by nature. CPU is a lagging indicator: your containers have to be visibly struggling before the scaler knows there's a problem, and by then, your users are already waiting. Request-based autoscaling acts on the signals that actually reflect user experience: Requests per second per instance: how many requests each container is handling right now P95 request latency: the response time that 95% of your users are seeing When traffic rises and either threshold is exceeded, new containers spin up immediately. When load drops and all metrics fall back below their targets, the scaler brings containers back down. You get the capacity headroom you need, faster, and pay only for what you use. You can also combine request-based and CPU-based metrics on dedicated plans. The autoscaler scales up when any configured th