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Solutions

Fast, reliable autoscaling

Beat HPA's 30s–3min lag; survive spikes.

HPA too slow / wrong signal

Workload-performance-based scaling in ~10s (~2× HPA).

~10s decisions
Autopilot

Known peaks & campaigns

Schedule-based guardrails for predictable events.

Zero cold-start at peak
Autopilot Scheduler

Protect critical traffic under load

Priority load-shedding and admission control when scaling can't keep up.

Critical paths stay up
Wave FlowNetFUNNEL Integration

Frequently Asked Questions

How much faster is Wave Autopilot than HPA?▼
Autopilot makes scaling decisions in roughly 10 seconds — about 2× faster than HPA's typical 30-second-to-3-minute reaction window — using workload-performance-based signals instead of CPU percentage alone.
How does Wave handle known traffic spikes like sales events?▼
Autopilot Scheduler lets you pre-scale for known events — sales, launches, batch kickoffs — so capacity is ready before traffic arrives instead of reacting after it.
What happens if scaling still can't keep up with a spike?▼
Wave Flow adds priority-based load shedding and admission control, so critical traffic stays protected even when total capacity is temporarily exceeded.
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