stepscale AI learns your workload patterns and continuously optimizes the scaling parameters your AWS ECS or Kubernetes autoscaler uses. Lower cloud spend, faster scale-up, zero manual threshold guessing.
$ stepscale analyze checkout-api
→ Collected 72h of metrics
→ Detected weekday burst pattern (8-10am UTC)
→ Detected idle window (00-06 UTC)
min_tasks: 10 → 3 max_tasks: 40 → 60 scale_up_thresh: 70%→ 55% cooldown_in: 60s→ 300s
Spend
-38%
p99 latency
-22%
Pages
-65%
Illustrative output. Real numbers depend on your workload.
Works with the stack you already run
30-50%
typical ECS spend reduction
On workloads with static configs that haven't been re-tuned in 6+ months.
< 1 min
tuning loop latency
From metric collection to new config applied to your autoscaler.
0
runtime dependencies in your traffic path
stepscale AI runs out-of-band. If we go down, your scaler keeps running.
Capabilities
Static thresholds quietly cost you money and slow your response to traffic. stepscale AI learns your workload and keeps the configuration current.
Thresholds, min/max task counts, and scaling ratios adjusted continuously from real workload data. Stop guessing.
Daily 9am peak versus 3am incident - different signals, different scaling strategies. Alert only when it matters.
Concrete reports on over-provisioning, before/after comparisons, and dollar-quantified savings you can show finance.
First-class support for AWS ECS (target tracking, step scaling) and Kubernetes (HPA, KEDA). No lock-in.
AI runs periodically, not on every scaling cycle. Negligible compute footprint, zero extra runtime in the traffic path.
Built by engineers running ECS and Kubernetes autoscaling at scale across SaaS, fintech, and ad-tech workloads.
Before / After
Same workload, same day. Static config holds 18 tasks all night and lags the morning peak. AI-tuned config drops to 3 overnight, pre-warms before the spike, scales tightly to actual demand.
Idle hours waste
15 tasks × 8h saved
Peak readiness
Pre-warmed 30 min early
Total cost delta
~38% lower this day
Talk to us
A 30-minute walkthrough with our engineering team. Bring a real ECS or Kubernetes service. Leave with a concrete cost-savings estimate. No sales pitch.