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About stepscale.io

Our Mission

At stepscale.io, we're building AI-powered autoscaling that eliminates manual configuration. We believe teams shouldn't have to guess at scaling thresholds or constantly tune parameters - your infrastructure should optimize itself based on actual workload data.

Our Approach

  1. AI-First: We use machine learning to analyze historical workload patterns and automatically tune scaling configurations - thresholds, min/max values, and scaling ratios
  2. Hybrid Architecture: AI advises, reactive scaling executes. The intelligent tuning layer runs periodically while the real-time scaler handles every decision - best of both worlds
  3. Open Source Core: Our reactive scaling engine (Fast Autoscaler) is free and open source. stepscale AI builds the intelligent layer on top
  4. Multi-Platform: We support both AWS ECS and Kubernetes, so you're not locked into a single orchestrator
  5. Simplicity: Complex scaling decisions made simple and transparent

Our Team

stepscale.io brings together experts in cloud infrastructure, AI/ML, and DevOps practices. Our team has experience building and running large-scale distributed systems across various industries.

Open Source Commitment

Our Fast Autoscaler project is free and open source - a production-grade reactive scaler for ECS. stepscale AI is the pro product that adds intelligent auto-tuning on top. We believe in open source as the foundation for trust and adoption.

Get Involved

We welcome contributions to our open source projects! Check out our GitHub repository to get started, or contact us if you'd like to learn more about stepscale AI.