flyio-core-workflow-a
Execute Fly.io primary workflow: deploy, scale, and manage apps with flyctl and fly.toml. Use when deploying applications, configuring regions, setting secrets, or managing the app lifecycle on Fly.io. Trigger: "fly deploy", "fly.io app management", "fly scale", "fly.io regions".
What this skill does
# Fly.io Core Workflow A: Deploy & Scale ## Overview The primary Fly.io workflow: configure `fly.toml`, deploy apps, manage secrets, scale across regions, and control machine lifecycle. ## Instructions ### Step 1: Configure fly.toml ```toml # fly.toml — app configuration app = "my-app" primary_region = "iad" [build] dockerfile = "Dockerfile" [env] NODE_ENV = "production" PORT = "3000" [http_service] internal_port = 3000 force_https = true auto_stop_machines = "stop" # Stop idle machines auto_start_machines = true # Start on request min_machines_running = 1 # Always keep 1 warm [http_service.concurrency] type = "requests" hard_limit = 250 soft_limit = 200 [[vm]] cpu_kind = "shared" cpus = 1 memory = "512mb" ``` ### Step 2: Deploy and Manage Secrets ```bash # Set secrets (encrypted, injected as env vars) fly secrets set DATABASE_URL="postgres://..." API_KEY="sk_..." # List secrets (values hidden) fly secrets list # Deploy fly deploy # Check deployment status fly status fly releases ``` ### Step 3: Scale Across Regions ```bash # Add machines in new regions fly scale count 2 --region iad # 2 machines in Virginia fly scale count 1 --region lhr # 1 machine in London fly scale count 1 --region nrt # 1 machine in Tokyo # Adjust VM size fly scale vm shared-cpu-2x --memory 1024 # Check current scale fly scale show ``` ### Step 4: Manage App Lifecycle ```bash # Restart all machines fly apps restart # Suspend an app (stop billing) fly apps suspend my-app # Resume fly apps resume my-app # Destroy (irreversible) fly apps destroy my-app --yes ``` ## fly.toml Key Settings | Setting | Default | Recommended | |---------|---------|-------------| | `auto_stop_machines` | `"stop"` | `"stop"` for most, `"suspend"` for fast resume | | `auto_start_machines` | `true` | `true` for HTTP services | | `min_machines_running` | `0` | `1` for production (avoid cold starts) | | `concurrency.soft_limit` | `200` | Tune based on app capacity | ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | `failed to build` | Dockerfile issue | Test locally: `docker build .` | | `health check failed` | App not responding on internal_port | Verify port matches app config | | `no machines running` | All stopped | Set `min_machines_running = 1` | ## Resources - [fly.toml Reference](https://fly.io/docs/reference/configuration/) - [Scaling](https://fly.io/docs/launch/scale-count/) - [Secrets](https://fly.io/docs/reference/secrets/) ## Next Steps For Postgres and volumes, see `flyio-core-workflow-b`.
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