Capability
What it scales
HTTP/gRPC/ WebSockets scaler
GPU/AI scalers
Vertical autoscaling
Predictive scaler
Multi-cluster autoscaling
Security & compliance
Multi-cluster dashboard
Scale-to-zero
Marketplace purchase
Support & SLA
Best for
Pods/workloads (event & HTTP)
Unifies event metrics with request load—scale
consumers and APIs from the same brain.
Production‑ready (Envoy‑backed; scale‑to‑zero; fallback; header routing; maintenance/wait pages)
Keeps p95 steady under bursts; handles cold
starts and long‑lived streams safely.
GPU‑driven autoscaling patterns; push‑based OTel metrics
Scales on GPU‑aware signals and push telemetry—cuts
idle accelerator cost and scrape lag.
Pod Resource Profiles (boost at warm‑up; dial down after)
Right‑sizes pods without restarts; spike for warm‑up, settle once stable.
Predict future load and proactively scale
Uses advanced time series models trained on your
actual application data to predict future load patterns.
Scale and schedule across multiple Kubernetes clusters
Centralized multi-cluster scaling and scheduling
for global applications and fleets.
Yes (one pane across EKS/GKE/AKS/ on-prem)
Fleet‑wide view across clouds; compare
SLOs, spend, and signals in one UI.
Hardened KEDA builds; FIPS; SSO/SAML
Hardened images and enterprise auth for audits and centralized access.
Yes (HTTP/events) Sleep idle APIs/workers; wake on demand with the first request or event.
AWS/GCP/Red Hat (counts toward commits)
Procure via cloud marketplaces; attribute spend to existing commitments.
Enterprise support, SLAs
Vendor support with SLAs and defined response targets.
Latency-sensitive APIs; GPU/AI; multi-cluster; regulated envs
Latency‑critical APIs, accelerator‑heavy workloads, governed fleets.
Pods via events/external metrics
Turns external/event signals into HPA
actions—great for queues and streams.
Community HTTP add‑on (beta; interceptor SPOF; no gRPC/WebSockets; more complex CRD)
Adds HTTP scaling via an interceptor; extra ops
overhead; not for bidirectional streams.
Use community scalers; less turnkey for GPU
Community GPU scalers exist; expect more wiring/tuning per vendor.
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Community images
Standard community images—you own hardening and access controls.
Yes (events)
Event triggers can revive consumers;
resume time depends on your setup.
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Community support
Community channels only; response is best‑effort.
Teams starting with event scaling
Event‑driven teams minimizing complexity for queues/streams.
Pods via CPU/memory
Built‑in CPU/memory scaling; simple when signals are resource‑bound.
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No (native)
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Simple steady workloads
Apps with steady, predictable load and no external triggers.