Who’s it for?
The problem we fix: Cloud bills keep climbing because
teams overprovision compute, hand-tune YAML, and firefight
cold-start incidents.
Engineering time is lost, CFOs demand
ROI, and customers feel every latency spike.
Industries That Feel the
Pain First
FinTech / Finance
Trigger: Transaction spikes, strict SLAs
Kedify: Aligns infra cost with unpredictable peaks
Ecommerce & Retail
Trigger: Flash sales, seasonal peaks
Kedify: Scale to zero between campaigns
Travel & Hospitality
Trigger: Search surges, fare crawls
Kedify: Keeps latency low without idle clusters
Utilities
& IoT
Trigger: Transaction spikes, strict SLAs
Kedify: Aligns infra cost with unpredictable peaks
Media & Streaming
Trigger: Transaction spikes, strict SLAs
Kedify: Aligns infra cost with unpredictable peaks
Data Heavy, AI Heavy, Traffic Heavy: We’ve Got You
Environment type
Traffic-heavy APIs
AI / GPU inference
Batch & ETL jobs
Streaming data pipelines
CI/CD test farms
One-liner on how Kedify helps
HTTP scaler keeps p95 latency steady even under thundering herd.
Predictive warm GPU pods to avoid minute-long cold starts.
Cron + queue scalers spin workers up only for the window you define.
Kafka / Pulsar scalers track lag and scale consumers automatically.
Scale test runners to zero until a build kicks off.
How We Fix It
Kedify layers managed, event-driven autoscaling (built by the
creators of KEDA) on top of your Kubernetes clusters.
Save money
Cuts 30–40% of compute waste with HTTP, gRPC and 70+ event scalers.
Improve performance
Dynamic vertical scaling right-sizes pods in real time.
Gain visibility
One dashboard gives finance, ops and engineering a shared view of cost vs. performance.
Save time
Teams reclaim 5–10 engineering hours per week and see payback in one to two quarters.
Real-World Proof
“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 Operations Leader, Tao Testing
With Kedify Tao Testing handled a 200× traffic burst with
zero downtime and ~40% lower spend.
“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
Trivago migrated 150–200 preview environments from Cloud Run to Kubernetes while keeping scale to zero efficiency.
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.
Who Signs the PO (Buyers)
CFO / VP Finance
Needs reliability & velocity without headcount bloat.
CTO / VP Engineering
Owns cloud budget and looks for hard-dollar savings with a <6-month payback.
CEO / Founder
Balances innovation speed with cost control and brand risk.
Who Benefits Day to Day
Platform & DevOps teams
Ditch homegrown scripts and pager fatigue.
SREs
Fewer scaling incidents, clearer SLOs.
Developers
Preview environments on demand, zero wait time.
C-suite
Predictable cloud spend, ROI that shows up on the next board slide.
Is Kedify For You?
If you’re running Kubernetes, spending >$1M/year on cloud, and your
workloads spike, batch or stream—you’re in the sweet spot. Book a 15-minute
fit check and see how fast autoscaling can pay for itself.