Request-Based Autoscaling Is Now Generally Available on App Platform

DigitalOcean has announced the general availability of request-based autoscaling for its App Platform, allowing applications to automatically scale based on real-time HTTP traffic signals like requests per second and P95 response latency. This feature is now accessible to users on both shared and dedicated CPU instances, enabling more responsive scaling compared to traditional CPU-based methods, which are reactive and depend on lagging indicators. The new autoscaling approach immediately adjusts container counts in response to traffic changes, ensuring better user experience by addressing demand in real-time and only incurring costs for resources actively used. Users can configure autoscaling thresholds based on insights into their normal traffic patterns, accessible through the App Platform's console, and set rules to scale based on either requests per second or response time metrics. This update enhances flexibility for DigitalOcean users, as scaling decisions are based on sustained load and not momentary spikes, and it allows integration of request-based and CPU-based metrics on dedicated plans.