//Kubernetes autoscaling

Stop overprovisioning Kubernetes just to feel safe

HPA reacts after the spike — and overprovisions the rest of the time. Langotime reads live telemetry, anticipates load, and moves replicas and resources before cost or latency bite, while your service-level checks stay green.

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The problem

Fixed-formula autoscaling makes you choose: waste money, or risk your SLOs

HPA and VPA react to thresholds you tuned by hand. They spin up late, oscillate, and scale down expensively — so teams overprovision to stay safe and pay 24/7 for spikes that happen rarely. AI-assisted teams ship services faster than anyone can re-tune those rules, and the load patterns keep moving underneath them.

//How Langotime does it

From live telemetry to a safe scaling decision

Connect

Pull live metrics, pod and node state, and load into one operational picture of the cluster.

Explain

Learn how your load actually moves — daily cycles, bursts, deploy-driven shifts — instead of a static threshold.

Simulate

Project what scaling up, down or shifting traffic does to cost and your SLOs — before it happens.

Act

Recommend the capacity move, grounded in telemetry, with a human in the approval loop.

//Honest comparison

“Why not just…”

“ADD A REPLICA”Overprovisioning is a tax you pay 24/7 for spikes that happen 2% of the time.

“LOWER THE THRESHOLDS”Lower thresholds trade cost for oscillation and false scaling — and still can't anticipate.

“THE CLOUD AUTOSCALER IS FINE”It reacts to what already happened. Langotime models what's about to happen, and the cost of each action.

Why it's different

An autoscaler that understands your system

Langotime runs on a Time Series World Model — AI for metrics, not text. It learns how your cluster behaves and what each action would do, instead of firing on a hand-set rule.

Real-time, on live telemetry — not post-hoc reports

Anticipates load instead of reacting to it

Cost and SLO tradeoffs made explicit

Works with your stack — Kubernetes, Prometheus, your agents

Fewer scaling oscillations under volatile load

A human stays in the approval loop

//Who it's for

If your Kubernetes footprint grows faster than the team watching it…

Enough clusters, services and metrics that SRE effort grows with scale — but not enough hand-tuned tooling to keep capacity under control. If overprovisioning is quietly costing you money, or volatile load keeps threatening your SLOs:

Langotime is for you.