2 verified briefings on Autoscaling. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Uber developed a new Kubernetes tool that separates scaling decisions from the actual scaling actions. This allows multiple systems to manage capacity safely, enabling regional failover without paying for constantly running idle servers.
ClickHouse Cloud rebuilt its autoscaling system to react to demand in seconds instead of minutes. This new 'fast path' approach helps prevent performance bottlenecks during traffic spikes and improves resource efficiency for its cloud database service.