Python, Go, Node.js, Rust
Name a runtime and point at a handler file. When the language you want is not one of them, bring a container you built yourself and deploy that instead.
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handler.js
export async function handler(req, res) {
// Process incoming data
const { data } = await req.json();
const result = await processData(data);
// Return JSON response
return Response.json({
success: true,
data: result
})
}
A handler file, a trigger, and the cluster you already run
What you get
Warm before the request
Pools are prewarmed, so a function is not booting on the request that needed it. Scale to zero is still the default when nothing is calling.
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Pools are prewarmed
request
Scale to zero
On your own cluster
Install it with Helm into Kubernetes you already run. Functions are ordinary workloads there, so quotas, node pools and network policy keep meaning what they meant.
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HelmKubernetes you already run
Functions are ordinary workloads there
A GPU is a normal ask
A function can request an NVIDIA GPU and be scheduled onto a node that has one. That is what lets model work be a function instead of a service somebody has to keep alive.
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Triggers, not just HTTP
An HTTP route, a cron schedule, a Kafka topic, a RabbitMQ queue. The trigger is its own object, so the same handler can answer to several without knowing about any of them.
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- HTTP route
- cron schedule
- Kafka topic
- RabbitMQ queue
handler.jsthe same handler
Versions you can move between
Blue/green and canary between versions of a function, so backing out a bad deploy is a traffic decision rather than another build.
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Common Use Cases
Hanzo Functions powers a wide range of serverless applications
Build complete REST or GraphQL APIs with automatic scaling and no server management.
- Custom middleware for authentication and validation
- API versioning and documentation generation
- Automatic OpenAPI schema generation
Process events in real-time with automatic scaling for traffic spikes.
- Webhook handlers for third-party services
- Event-driven data transformation and enrichment
- Real-time analytics processing
Deploy machine learning models for inference with built-in GPU acceleration.
- Image and text classification
- AI chatbots and virtual assistants
- Real-time recommendations
Run tasks on a schedule without maintaining a dedicated server.
- Periodic data cleanup and maintenance
- Scheduled reports and notifications
- Recurring data integration and ETL processes
Get Functions
Serverless functions
Paste and ship
Paste this into any agent. It reads the skill manifest and calls Functions from there.
api/v1/function
Read https://hanzo.ai/skill.md and use Hanzo Functions in my project. Start with: hanzo functions list