Reactive Scaling
The autoscaler changes capacity only after queue pressure is already visible. Traffic moves first; capacity follows later.
Interactive Systems Explainers
Autoscaling Playground
See how autoscaling reacts to traffic spikes, queue growth, and changing system pressure.
Key Observations
What to Notice
Aggressive Scaling
Fast reactions can overshoot. Extra capacity arrives in bursts, then disappears as the system swings back.
Conservative Scaling
Slow decisions avoid thrashing, but the queue stays hot longer while the system catches up.
Horizontal vs Vertical Scaling
Horizontal scaling spreads work across more workers. Vertical scaling makes one worker stronger while the bottleneck stays central.
Interactive Systems Explainers
Explore Next
Load Balancer
OpenWatch routing choices shape overload, queues, and recovery.
Queue Congestion
OpenSee why latency suddenly explodes when work piles up.
Retry Storms
OpenSee how retries can amplify overload and collapse a system.
Circuit Breakers
OpenSee how fast failure isolates unstable services and allows recovery.
Cache Stampede
OpenWatch synchronized cache misses overload a database, then tame them with protection.