Managing multiple environments

31

For anyone that looking the answer in 2024, here is how I managed multiple environments:

Step 1: Create two deploy tokens:

(one for development workflow and one for production workflow)

flyctl tokens create deploy -a my-app-dev

and copy the token and go to github, settings → secrets and variables → create new secret named FLY_API_TOKEN_DEV and copy the token into the secret.

flyctl tokens create deploy -a my-app-prod

do the same this time create a variable called FLY_API_TOKEN_PROD

Step 2: Create two Github workflows one for each environment

.github/worflows/development.yaml:

name: Deploy to development
on:
  push:
    branches:
      - dev
env:
  FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}
jobs:
  deploy:
    name: Deploy Development App
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - run: flyctl deploy -a my-app-dev --remote-only

.github/worflows/production.yaml:

name: Fly Deploy
on:
  push:
    branches:
      - master
env:
  FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN_PROD }}
jobs:
  deploy:
    name: Deploy app
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - uses: superfly/flyctl-actions/setup-flyctl@master
      - run: flyctl deploy -a hawalla-backend-prod --remote-only

Step 3: Create two .toml files

`fly.dev.toml:`


[build]
.
.

[env]
.
.


[http_service]
  internal_port = 8080
  force_https = true
  auto_stop_machines = false
  auto_start_machines = true
  min_machines_running = 0
  processes = ["app"]

[[vm]]
  cpu_kind = "shared"
  cpus = 1
  memory_mb = 1024

[deploy]
release_command = "php artisan migrate --force"

fly.prod.toml:

[build]
  [build.args]

[deploy]
  release_command = 'php artisan migrate --force'

[env]
.
.

[http_service]
  internal_port = 8080
  force_https = true
  auto_stop_machines = true
  auto_start_machines = true
  min_machines_running = 0
  processes = ['app']

[[vm]]
  size = 'performance-1x'
  memory = '4gb'
  cpu_kind = 'performance'
  cpus = 1
3 Likes