Infrastructure as Natural Language

Speak to your infrastructure, and it listens

Skills: Data Science & Site Reliability Engineering

🎙️ Voice-Controlled Operations

Engineer: "Hey AI, our payment service is getting slow. Can you scale it up by 50%?"
AI SRE: "I'll scale the payment service for you. Let me check the current status first..."
Current: 4 instances (t3.large) CPU: 78% average Memory: 62% average Request rate: 1,200 req/s Scaling to: 6 instances Estimated completion: 2 minutes
"Scaling initiated. I'm also noticing high CPU usage. Would you like me to upgrade to t3.xlarge instances for better performance?"
Engineer: "Yes, and also set up auto-scaling for the future"
AI SRE: "Done! Here's what I've configured:"
✓ Upgraded to t3.xlarge (6 instances) ✓ Auto-scaling enabled: - Scale up: CPU > 70% for 5 min - Scale down: CPU < 30% for 10 min - Min: 4, Max: 20 instances ✓ CloudWatch alarms configured ✓ Estimated monthly savings: $1,200 Terraform code generated and applied.

🚀 Natural Language to Infrastructure

Transform conversations into production-ready infrastructure:

95% faster deployment
Zero YAML writing
100% GitOps integrated
80% fewer errors