How is Traverse different from serverless functions?

Serverless functions handle event-driven compute that scales to zero. Traverse runs governed business logic in-process. No cold start. No network hop. Contracts enforced at execution time.

A serverless function is a unit of compute. You upload code, the platform runs it on demand, and you pay per invocation. The value is operational simplicity and infinite scale. The cost is latency on cold starts and a lack of enforcement around inputs and outputs.

A Traverse capability is a unit of governed business logic. You compile it to WASM, attach a contract, and load it into the Traverse runtime. The runtime validates inputs before execution and writes a trace artifact after. The same binary works on any host that runs Traverse.

Dimension	Serverless functions	Traverse
Execution model	Managed compute, scales to zero	In-process WASM, no managed infra
Cold start	Yes, on first invocation after idle	None, binary is loaded in-process
Contracts	None enforced by the platform	Machine-readable, enforced at runtime
Audit trail	Logs, if you instrument them	Structured trace artifact per execution
Environment portability	Tied to the cloud provider	Same binary on browser, edge, and cloud
Sandbox	Container-level isolation per function	WASM sandbox with constraint validation

The right tool for each job

Use serverless when you need elastic compute for variable workloads. Webhooks, file processing, scheduled jobs. Serverless is the right answer for that category of work.

Use Traverse when you need the same business rule to run identically across environments, with a contract enforcing every execution.

They work together

A Traverse capability can run inside a serverless function. Your Lambda or Cloudflare Worker handles the infrastructure concerns. Traverse handles rule execution with governance inside it. You get elastic compute and governed business logic in the same stack.

See the full comparison at Traverse vs Serverless.