With Kedify, our developers get the best of both worlds, cost-efficient scaling like Google Cloud Run, but fully integrated within our Kubernetes-based platform.
Jakub Sacha
SRE, trivago
Kubernetes Autoscaling, Right-sizing and FinOps All Built In
Scale Kubernetes on predictions, API calls, queues, and traffic, not just CPU and memory.
Running 5+ clusters? Save 30% on cloud costs and cut outages.
From the core maintainers of
Before Kedify, scaling up was a constant challenge. Now, our platform adapts instantly to our users' needs, and we've freed up our team to focus on new features rather than managing resource spikes.
Rafael Tovar
Cloud Ops Leader, Tao Testing
We haven’t touched our scaling config in months, and our bills dropped.
Surag Mungekar
CISO, Rupert
Our custom feature request was implemented extremely quickly and made a real difference.
Yi Hong
Member of Technical Staff, Amigo
Our traffic spikes are unpredictable by nature. Kedify gave us the confidence to scale to zero without gambling on user experience.
Zackky Muhammad
Lead DevOps Engineer, Kitabisa
Trusted by teams worldwide
Why teams choose Kedify
Better economics. Less tuning.
More reliable scaling.
Kedify turns autoscaling from a collection of hand-tuned rules into an operating layer your platform team can trust.
- typical cloud savings
- 30–40%
- to install and connect
- Minutes
- unified control
- One platform
- 01
Cut costs fast
Most teams reduce spend by 30–40% in their first few months.
- 02
Stability & performance
React to the right signals so applications stay responsive and avoid preventable outages.
- 03
Scale proactively
Predict future demand and respond before traffic spikes arrive.
- 04
Operate with confidence
SLA-backed, with SOC 2 Type II and FIPS options.
- 05
Get value immediately
Install in minutes, integrate quickly, and optimize from day one.
- 06
Work with KEDA experts
Get support from the core maintainers when autoscaling matters.
See how platform teams move faster, scale smarter, and stay in control.
Read our case studiesDesigned for Intelligent Cloud Efficiency
Kedify closes the loop between workload demand, resource recommendations, autoscaling action, and verified cost impact.
Inputs
Observe signals
Collect demand, pod pressure, scaling history, and capacity across clusters.
+
Telemetry intake
Kedify combines workload demand, pod pressure, scaling history, and fleet capacity so decisions are based on live behavior, not CPU alone.
- Demand and scaling events
- Pod pressure and utilization
- Cluster and namespace context
Insights
Recommend fit
Right-size CPU and memory requests with confidence before scaling acts.
+
Insights
Insights surfaces CPU and memory recommendations with confidence, explanations, and safe commands before resource changes are applied.
- Current vs recommended resources
- Confidence and explanation
- Apply, ignore, or review manually
Actions
Scale workloads
Autoscale APIs, queues, jobs, GPU inference, predictions, and pod resources.
+
Autoscaling action
Kedify acts on HTTP traffic, queue pressure, predictive demand, GPU workloads, and vertical pod resources from the same control loop.
- HTTP request rate and concurrency
- Predictive demand and GPU inference
- Horizontal and vertical scaling together
Fleet
Coordinate fleets
Coordinate policies across clusters with guardrails, weights, and failover.
+
Fleet control
Multi-cluster scaling uses advanced patterns to place work across member clusters with weights and failover.
- Member cluster weights
- Deployment and job workloads
- Failover-ready rebalancing
FinOps
Prove savings
Tie saved pod-hours, node-hours, CPU, memory, and GPU to FinOps impact.
+
FinOps
FinOps estimates saved pod-hours, node-hours, CPU, memory, and GPU capacity against recent peaks so savings are visible and explainable.
- Saved capacity and spend estimates
- Pods, nodes, CPU, memory, and GPU views
- Prioritize high-savings clusters
30-40% lower compute
The ROI you can expect
Powered by precision autoscaling, built-in observability, and robust financial reporting.
- Cloud Spend
-
30-40%
reduction in compute cost
- Engineering Time
-
5-10 hrs/week
saved on infrastructure tuning
- Incident Reduction
-
Fewer SLA hits
from faster scale-ups
- Payback Period
-
1-2 quarters
typical payback window
Who Already Uses The Technology
KEDA powers autoscaling for companies you know including Microsoft, FedEx, Grab,
Qonto, Alibaba Cloud, Red Hat and many more. Kedify gives these capabilities turnkey
to enterprises that don’t want to build and maintain it themselves.
Buy Through AWS, GCP, or Red Hat Marketplaces
Use existing procurement paths, cloud commitments, and vendor approvals.
Purchase Kedify via AWS, GCP, or Red Hat Marketplaces to count towards cloud spend, bypass vendor delays, and accelerate buying.
Where Kedify Works Best
Kedify handles uneven Kubernetes demand across request-driven APIs, queue workers, GPU inference, and multi-cluster platforms.
APIs and SaaS platforms
Autoscale HTTP/gRPC services, background jobs, and shared platform workloads without manual replica tuning.
- HTTP/gRPC
- Jobs
- Multi-tenant
- Burst traffic
Queues and event-driven systems
Scale workers from queue depth, event rate, and backlog so capacity appears when work arrives and scales down when it clears.
- Kafka
- RabbitMQ
- Scale to zero
- Backlog control
AI and GPU inference
Right-size and autoscale inference workloads from demand and GPU signals while protecting latency targets.
- GPU
- Inference
- Predictive
- Latency SLAs
FinOps and platform teams
Turn scaling behavior into spend reporting, resource recommendations, and capacity guardrails across clusters.
- Right-sizing
- Spend reporting
- Multi-cluster
- Guardrails
"We justified Kedify through our AWS commit. No red tape, no hold-up."
— Brian Lee,
COO / CFO, NinjaCat
Why Kedify vs. Status Quo
Cost Optimization
Kedify
Smarter autoscaling, no overprovisioning
DIY
Manual tuning, idle compute waste
Engineer Efficiency
Kedify
Automation, UI
DIY
YAML + toil
Risk Reduction
Kedify
SOC2, FIPS-compliant, SLA-backed
DIY
No security guarantees
Strategic Fit
Kedify
ROI-driven platform, finance visibility
DIY
Infrastructure as sunk cost
Start scaling smarter without guessing what it's worth.
Book a free ROI consult or try a Proof of Concept in your environment.