Kedify Product Capabilities
Real-Time, Precise Scaling
- Instant burst handling; no lags or timeouts
- Scale to zero for dev previews & intermittent traffic
- Serverless migration path from AWS Lambda, Google Cloud Run or Azure Functions
AI-Powered Forecasting
- Scale before demand spikes using time series models
- Continuous learning from your application metrics
- Confidence-based predictions for intelligent scaling decisions
Metrics, Minus the Overhead
- Push-based metric stream eliminates Prometheus scrape delays
- GPU utilisation & AI/ML-ready metrics out of the box
- Less infra; no separate metric store, instant decision time
Scale Across a Fleet
- Weighted placement across multiple clusters
- Auto-rebalance during outages
- Supports Deployments and long-running Jobs
Instant and Event-Driven Vertical Autoscaling
- Declarative profile/event mode plus instant utilization-based autoscaling
- Boost CPU / memory at startup, shrink once warm (great for legacy Java or Python apps)
- In-place resource updates based on usage with no restarts required
Protect Downstream Systems
- Throttle aggregate pod counts to keep critical services or databases happy
- Global caps maintain cluster balance during spikes
One Pane, All Clusters
- Cross-cluster KPIs, alerts, and cost impact in real time
- Cuts ops toil by unifying views across EKS, GKE, AKS, and on-prem
Enterprise-Grade Security
- SOC2 Type II certified
- FIPS-compliant, CVE-free images with 70+ built-in scalers
- Backed by Kedify's 24/7 engineering team
HTTP Scaler
Real-Time, Precise Scaling
- Instant burst handling; no lags or timeouts
- Scale to zero for dev previews & intermittent traffic
- Serverless migration path from AWS Lambda, Google Cloud Run or Azure Functions
Predictive Scaler
AI-Powered Forecasting
- Scale before demand spikes using time series models
- Continuous learning from your application metrics
- Confidence-based predictions for intelligent scaling decisions
OpenTelemetry Scaler
Metrics, Minus the Overhead
- Push-based metric stream eliminates Prometheus scrape delays
- GPU utilisation & AI/ML-ready metrics out of the box
- Less infra; no separate metric store, instant decision time
Multi-Cluster Scaling
Scale Across a Fleet
- Weighted placement across multiple clusters
- Auto-rebalance during outages
- Supports Deployments and long-running Jobs
Intelligent Vertical Scaling
Instant and Event-Driven Vertical Autoscaling
- Declarative profile/event mode plus instant utilization-based autoscaling
- Boost CPU / memory at startup, shrink once warm (great for legacy Java or Python apps)
- In-place resource updates based on usage with no restarts required
Scaling Groups
Protect Downstream Systems
- Throttle aggregate pod counts to keep critical services or databases happy
- Global caps maintain cluster balance during spikes
Dashboard
One Pane, All Clusters
- Cross-cluster KPIs, alerts, and cost impact in real time
- Cuts ops toil by unifying views across EKS, GKE, AKS, and on-prem
Hardened KEDA
Enterprise-Grade Security
- SOC2 Type II certified
- FIPS-compliant, CVE-free images with 70+ built-in scalers
- Backed by Kedify's 24/7 engineering team
+6 more
Feature Matrix
Capability
HTTP Scaler
Predictive Scaler
OTel Scaler
Multi‑Cluster Scaling
Intelligent Vertical Scaling
Scaling Groups
Dashboard
Hardened KEDA
Cost Impact
20-40%
Resource waste
Infra $
--
Over-alloc
--
--
Perf Impact
Sub-sec
Proactive
Fast
Resilience
Stable
Guardrail
Visibility
--
Security
TLS
--
--
--
--
--
SSO / SAML
SOC2, FIPS
Best For
Latency-sensitive APIs
Traffic pattern apps
AI / ML & GPU
Edge & multi-region fleets
Apps with variable resource usage
DB-bound apps
Platform teams
Regulated envs
major positive
protective / neutral