Self-service developer platform

Ship a full-stack app from one manifest.
On AWS, Azure or GCP.

Developers describe their app in a single Wayfinder.yaml. One wf up and they get a real environment, through plans your platform team curates. No Terraform. No tickets.

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One file. One command.

A real deploy, in the time it takes to read a manifest.

Wayfinder.yaml is the app's contract with the platform. Developers declare what they need; Wayfinder picks the approved plan, provisions the cloud and deploys.

Wayfinder.yaml 
apiVersion: app.appvia.io/v3
kind: StackDefinition
metadata:
  name: orderly
spec:
  cloudResources:
    - name: orders
      plan: dynamodb-standard
    - name: events
      plan: sns-topic
  kubeResources:
    - name: api
      plan: web-service
      vars:
        image: ghcr.io/acme/api:latest
CLI terminal 
$ wf up
→ resolving plans from catalogue
→ provisioning orders (dynamodb-standard)
→ provisioning events (sns-topic)
→ wiring workload identities
→ deploying api (web-service)
✓ stack instance ready

$ wf access cluster
→ short-lived kubeconfig issued
→ kubectl ready for 60 minutes

No hand-coded IAM. No separate CI pipeline. The whole stack - cloud resources, identities, workloads - comes up from the manifest your platform team's plans tell Wayfinder how to build.

The catalogue

Pick from a menu your platform team curates.

The catalogue holds CloudResourcePlans (DynamoDB, Postgres, S3, queues, networks) and KubeResourcePlans (web services, jobs, ingresses). Your platform team authors them with AI help and tests them in your real cloud before they publish. Developers just pick.

CloudResourcePlans

Terraform-backed cloud infrastructure with the rough edges already filed off. Each plan knows which cloud it's for and ships with defaults the platform team has signed off on.

  • dynamodb-standard
  • postgres-aurora
  • s3-private-bucket
  • sns-topic
  • vpc-baseline

KubeResourcePlans

Helm-backed delivery patterns. Web services, scheduled jobs, ingress routing, anything that runs on the cluster. Variables developers care about, defaults the platform team owns.

  • web-service
  • scheduled-job
  • ingress-public
  • worker-queue-consumer
  • cronjob-cleanup

The catalogue is authored by AI agents on the platform-team side. The plan name on the right is all a developer needs to know.

Same workflow, three clouds

Wayfinder runs on AWS, Azure or GCP - same wf up, plans tuned per cloud.

A Wayfinder.yaml on Azure looks the same shape as one on AWS. The plans behind the names differ; the developer experience doesn't. Switch cloud by picking a different plan, not by rewriting the app.

AWS

Lambdas, API Gateway, DynamoDB, SNS, S3, CloudFront. Managed EKS for Kubernetes workloads. Workload identity via OIDC trust.

Azure

Functions, App Service, CosmosDB, Service Bus, Blob Storage, Front Door. Managed AKS for Kubernetes workloads. Workload identity via OIDC trust.

GCP

Cloud Functions, Cloud Run, Spanner, Pub/Sub, GCS, Cloud CDN. Managed GKE for Kubernetes workloads. Workload identity via OIDC trust.

Access without long-lived keys

Short-lived kubectl. No static cloud keys at runtime.

wf access cluster issues a short-lived kubectl session scoped to the developer's namespace. Workloads reach AWS, Azure or GCP via OIDC trust. No long-term keys in the cluster or on a laptop.

  • wf access cluster - time-bound kubeconfig mapped to Kubernetes RBAC
  • wf access namespace - a namespace on a chosen cluster, mapped to your workspace role
  • Workloads authenticate to cloud APIs via OIDC trust, not keys

For the platform team's side of the same story - per-workload IAM, the audit trail, the policy gates - see Security.

AI in the dev loop

Your IDE knows your platform.

Wayfinder ships its own MCP server. Run wf setup mcp and Claude Code, Cursor, VS Code, Windsurf or Antigravity can query plans, validate Wayfinder.yaml and inspect your resources. Under your RBAC, no extra token.

Meet the six agents →
See it in action

Three concrete walkthroughs.

Real Wayfinder.yaml, real commands, real outcomes - read end-to-end.

10 min read · AWS

From laptop to live

Deploy a real event-driven AWS application - 5 Lambdas, API Gateway, CloudFront, DynamoDB, SNS, S3 and a React SPA - from your laptop with one wf up.

Read the walkthrough → 5 min read · PR previews

Ephemeral environments

A preview environment on every pull request. A throwaway stack on your laptop. wf up on open, wf down on close. No orphans on next month's cloud bill.

Read the walkthrough → 6 min read · EKS/AKS/GKE

Share a Kubernetes cluster

Import an existing cluster, share it across workspaces with scoped access, and hand out short-lived kubectl sessions mapped to Kubernetes RBAC.

Read the walkthrough →

Try it on your own stack.

Free tier. Full platform. One manifest away from running.

Start free →

Free forever · No commitment · Upgrade anytime