flyio-core-workflow-a

# 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 ...