Built-in Load Balancing & Auto-Scaling
Scale Your Apps Automatically with Traffic Spikes
Automatically distribute traffic across multiple instances of your application. Scale up during traffic spikes, scale down during quiet hours, and only use the resources you need.
Everything you need
Built-in features that work out of the box
Automatic Traffic Distribution
Route incoming requests across healthy instances. Failed instances are automatically removed from rotation.
Horizontal Auto-Scaling
Automatically scale from 1 to N instances based on CPU, memory, or request metrics. Scale down when traffic drops.
Zero-Downtime Deployments
Deploy new versions without dropping requests. Old instances stay alive until all requests complete.
Health Checks
Automatic health monitoring with configurable endpoints. Unhealthy instances are replaced automatically.
Sticky Sessions
Route users to the same instance for session persistence. Perfect for WebSocket connections.
Custom Scaling Rules
Scale based on CPU, memory, request rate, or custom metrics. Define min/max instances per environment.
How Temps compares
Save money with self-hosted infrastructure
Temps vs. vercel
Vercel's auto-scaling is automatic but opaque—you can't control instance counts or scaling rules. Temps gives you full control over when and how your app scales.
Temps vs. railway
Railway charges per GB of RAM and vCPU usage. Temps runs on your infrastructure—scale to 100 instances without paying Railway's markup.
Perfect for
Real-world use cases and scenarios
High-Traffic Applications
Handle Black Friday traffic spikes without manual intervention. Scale from 2 to 20 instances automatically.
Real-Time Applications
Load balance WebSocket connections across multiple servers. Use sticky sessions to keep users connected.
Cost Optimization
Scale down to 1 instance during off-hours. Save on compute costs while maintaining availability.
Ready to get started?
Deploy your first app in under 5 minutes. No credit card required.