Infrastructure as Code
Infrastructure as code
Define and manage your entire application infrastructure using YAML configuration files. This allows you to version control your infrastructure, automate deployments, and ensure consistency across environments.
How it works
Infrastructure as code lets you describe your application, services, domains, and secrets in a single YAML file. When you apply this configuration, the platform automatically creates or updates all resources to match your desired state.
Configuration structure
Your infrastructure configuration follows this structure:
apiVersion: v1
kind: Infrastructure
metadata:
name: your-app-name
team: your-team-name-or-id
spec:
application: {...}
domains: [...]
secrets: [...]
volumes: [...]
services: [...]
container_services: [...]
managed_databases: [...]
object_storage: [...]
Complete example
Here's a comprehensive example showing all available configuration options:
apiVersion: v1
kind: Infrastructure
metadata:
name: production-app
team: 1 # Your team ID or name
spec:
application:
name: production-app
type: laravel # laravel, nodejs, or wordpress
version: "11.x"
label: Production App # Display name (optional)
tags: # Tags for organizing apps (optional)
- production
- api
repository:
url: https://github.com/yourorg/yourrepo
owner: yourorg
name: yourrepo
branch: main
runtime:
php_version: "8.4"
nodejs_version: "22"
commands:
build:
- composer install --no-dev --optimize-autoloader
- npm ci
- npm run build
init:
- php artisan migrate --force
- php artisan config:cache
- php artisan route:cache
start: php artisan serve --host=0.0.0.0 --port=8000
settings:
health_check_path: /health
health_check_enabled: true
scheduler_enabled: true
replicas: 3
memory: 1024Mi
scheduled_deletion_at: "2026-12-01T00:00:00Z" # Optional: auto-delete on this date
php:
extensions:
- redis
- imagick
- gd
- zip
settings:
- memory_limit=512M
- max_execution_time=120
- upload_max_filesize=100M
- post_max_size=100M
domains:
- domain: app.example.com
- domain: www.example.com
- domain: api.example.com
secrets:
- key: APP_KEY
value: base64:your_generated_key_here
- key: DB_PASSWORD
value: your_secure_password
- key: STRIPE_KEY
value: sk_live_your_stripe_key
- key: AWS_ACCESS_KEY_ID
value: your_aws_key
- key: AWS_SECRET_ACCESS_KEY
value: your_aws_secret
volumes:
- name: storage
mount_path: /var/www/html/storage
volume_size: 20
- name: uploads
mount_path: /var/www/html/public/uploads
volume_size: 10
services:
# Database services
- name: database
type: mysql
version: "8.4"
memory: 2Gi
volume_size: 50Gi
settings:
database: production
- name: postgres
type: postgresql
version: "15"
memory: 2Gi
volume_size: 50Gi
settings:
database: app_production
extensions:
- postgis
- pg_trgm
- uuid-ossp
# Cache services
- name: cache
type: redis
version: "7.2"
memory: 512Mi
volume_size: 1Gi
- name: sessions
type: valkey
version: "7.2"
memory: 256Mi
volume_size: 1Gi
# Queue services
- name: queue
type: rabbitmq
version: "3.12"
memory: 1Gi
volume_size: 5Gi
# Storage services
- name: files
type: minio
version: latest
memory: 1Gi
volume_size: 100Gi
- name: ftp
type: sftp
version: latest
memory: 256Mi
volume_size: 50Gi
settings:
username: ftpuser
password: secure_ftp_password
# Worker services
- name: default-worker
type: worker
memory: 1Gi
command: php artisan queue:work --queue=default --tries=3
- name: email-worker
type: worker
memory: 512Mi
command: php artisan queue:work --queue=emails --tries=5
- name: heavy-worker
type: worker
memory: 2Gi
command: php artisan queue:work --queue=heavy --timeout=3600
container_services:
- name: pdf-generator
type: gotenberg
version: "8"
memory: 1Gi
settings:
LOG_LEVEL: info
DEFAULT_WAIT_TIMEOUT: "60"
- name: browser
type: chrome-headless
version: "1.61.1-chrome-stable"
memory: 2Gi
settings:
BLOCK_ADS: "false"
MAX_CONCURRENT_SESSIONS: "20"
- name: analytics
type: clickhouse
version: "23.8"
memory: 4Gi
volume_size: 100Gi
- name: search
type: meilisearch
version: v1.32
memory: 1Gi
volume_size: 5Gi
Managed databases
You can provision a managed database alongside your application, or on its own. Each entry in spec.managed_databases creates or updates one managed database for your team.
spec:
managed_databases:
- name: analytics-db
type: pg
# type is mysql, pg, or valkey
plan: 1x1xCPU-2GB-25GB
zone: nl-ams1
users:
- username: analyst
authentication: scram-sha-256
logical_databases:
- name: analytics
character_set: UTF8
collation: en_US.UTF-8
name— the name of the managed database, unique within your teamtype— the database engine:mysql,pg, orvalkey(MySQL, PostgreSQL, or Valkey).redisis accepted as an alias forvalkey, which speaks the same protocol; it is stored and exported asvalkey. Any other value is rejectedplan— the compute and storage size of the instance. It must be a plan the platform offers for that engine; see the plan list in the panel when you create a databasezone— the location to provision in, using one of the zones listed under Locations belowusers— database users to create, each with an optionalusernameandauthenticationlogical_databases— databases to create on the instance, each with an optionalname,character_set, andcollation
The database password is generated by the platform and is not part of the YAML you apply.
Object storage
Object storage is a team-level resource defined in spec.object_storage.
spec:
object_storage:
- name: assets
zone: europe-1
buckets:
- media
users:
- username: deploy-bot
policies: []
name— the name of the object storage, unique within your teamzone— the region to create it in, using a region the platform offers, for exampleeurope-1orus-1plan— accepted but ignored. Object storage has no plan; the field is kept only so an older configuration still appliesbuckets— bucket names to createusers— object storage users, each with an optionalusernameandpolicies
The access key and secret key are generated by the platform and are not part of the YAML you apply.
Rejected values
A type, zone, or plan the platform cannot provision is rejected before anything is created. The request fails with 422 Unprocessable Entity and nothing in the document is applied, not the managed services and not the application, domains, secrets, volumes, or services alongside them. Re-apply once the value is corrected.
Every invalid entry is reported in one response rather than one at a time, so a large document tells you everything wrong with it in a single run. Each message names the resource, the field, and what the accepted values are:
{
"message": "YAML validation failed",
"errors": {
"spec.managed_databases.analytics-db.type": [
"Managed database 'analytics-db': 'mariadb' is not a supported type. Accepted values are mysql, pg, valkey."
],
"spec.object_storage.assets.zone": [
"Object storage 'assets': 'europe-99' is not a supported zone. Accepted values are apac-1, europe-1, europe-2, europe-3, europe-4, us-1."
]
}
}
This applies to a dry run too, so dry_run=true is a reliable check that a document will apply.
Locations
The zone value must be a location the platform offers. A location the platform does not offer will fail when the resource is provisioned. Use the same values shown in the location dropdown when you create the resource in the panel.
Managed database zones:
au-syd1,de-fra1,dk-cph1,es-mad1,fi-hel1,fi-hel2,nl-ams1,no-svg1,pl-waw1,se-sto1,sg-sin1,uk-lon1,us-chi1,us-nyc1,us-sjo1
Object storage regions, used in the zone field of an object storage entry:
apac-1(Singapore)europe-1(Helsinki)europe-2(Frankfurt)europe-3(Stockholm)europe-4(Copenhagen)us-1(Chicago)
Exporting a team
You can download all managed databases and object storage for a team as a single YAML document:
curl -X GET https://api.ploi.cloud/api/v1/teams/1/export-yaml \
-H "Authorization: Bearer YOUR_API_TOKEN"
The exported document includes every non-secret setting. Credentials are replaced with placeholders: database passwords become \${DB_<NAME>_PASSWORD} and object storage secret keys become \${STORAGE_<NAME>_SECRET_KEY}. Applying the exported document reproduces the same configuration, and the real credentials are regenerated by the platform.
Applying your configuration
You can apply your infrastructure configuration using the API. Send a POST request with your YAML content:
curl -X POST https://api.ploi.cloud/api/v1/infrastructure/apply \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/yaml" \
--data-binary @your-infrastructure.yaml
Dry run mode
Preview what changes would be made without actually applying them:
curl -X POST "https://api.ploi.cloud/api/v1/infrastructure/apply?dry_run=true" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/yaml" \
--data-binary @your-infrastructure.yaml
Manual deployment
By default, changes are automatically deployed. To apply changes without triggering a deployment:
curl -X POST "https://api.ploi.cloud/api/v1/infrastructure/apply?auto_deploy=false" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/yaml" \
--data-binary @your-infrastructure.yaml
Response format
The API returns details about what was changed:
{
"success": true,
"application_id": 123,
"application_name": "production-app",
"team": "Your Team",
"dry_run": false,
"changes": [
"Application 'production-app' created",
"Domain 'app.example.com' added",
"Secret 'APP_KEY' created",
"Service 'database' (mysql) created",
"Managed database 'analytics-db' created, provisioning started",
"Object storage 'assets' created, provisioning started"
],
"structured_changes": {
"application": { "action": "created", "name": "production-app" },
"domains": [{ "action": "created", "domain": "app.example.com" }],
"secrets": [{ "action": "created", "key": "APP_KEY" }],
"services": [{ "action": "created", "name": "database", "type": "mysql" }],
"managed_databases": [{ "action": "created", "name": "analytics-db" }],
"object_storage": [{ "action": "created", "name": "assets" }]
},
"errors": [],
"needs_deployment": true,
"auto_deploy_enabled": true,
"deployment_id": 456
}
Important notes
- The application name must be unique within your team
- Some fields like application type cannot be changed after creation
- Services and volumes are automatically connected to your application
- All resources are managed together - updating the configuration will update all resources
- Removing items from the configuration will not delete them (for safety)
- Managed databases and object storage can be applied on their own, without an application
- Removing a managed database or object storage from the configuration will not delete it (for safety)
- Changing the plan or zone of an existing managed database or object storage is not applied by the API; it is reported as a change that requires action in the panel
- Credentials such as managed database passwords and object storage secret keys are never returned by the team export; they are replaced with placeholders
- A managed resource is provisioned asynchronously after you apply it, so provisioning takes a little time
Automatic deletion (scheduled_deletion_at)
Setting spec.application.settings.scheduled_deletion_at to an ISO 8601 timestamp marks the application for automatic, permanent deletion at that time. Useful for ephemeral or preview environments that should clean themselves up.
When the timestamp passes, the application and all of its data — databases, persistent files, secrets, domains, and deployments — are removed. Owners receive warning emails 7 days and 1 day before deletion so they can extend or cancel.
Behavior worth knowing:
- The field can only be enabled via the API or
ploi.yaml. The dashboard cannot enable a schedule on an application that does not already have one. Once a schedule exists, the dashboard's settings tab can update the date or cancel the schedule. - Unlike most other items in your YAML, removing this field clears the schedule. The schedule is treated as a desired-state value, so omitting it means "no schedule".
- Changing the date resets the warning email markers, so a re-extended schedule will warn again at the 7-day and 1-day marks.
- Cancelling via the API:
PATCH /api/v1/applications/{id}with body{ "scheduled_deletion_at": null }.
spec:
application:
name: preview-pr-1234
type: laravel
settings:
scheduled_deletion_at: "2026-05-15T03:00:00Z" # gone three weeks after merge
Health checks (health_check_enabled)
By default every application is monitored on a health check path, and an application that stops responding there is restarted. spec.application.settings.health_check_path chooses that path.
Set health_check_enabled: false to run the application with no health checks at all. This is intended for applications whose first boot takes long enough that the platform would otherwise consider them unhealthy before they finish starting, such as a preview environment that seeds a large database on startup.
spec:
application:
name: preview-pr-1234
type: laravel
settings:
health_check_enabled: false
With health checks disabled the application is no longer restarted automatically when it stops responding, and its status cannot be monitored. Prefer a health check path that returns quickly once the application is ready.
Three rules apply:
- Disabling requires the explicit
health_check_enabled: false. Omitting the setting leaves an existing application unchanged and gives a new application the default path for its type. health_check_enabled: falsecannot be combined with ahealth_check_path. Declaring both is rejected, rather than one silently winning.health_check_pathmust be a non-empty path starting with/. An empty value is rejected; usehealth_check_enabled: falseto disable instead.
Exporting an application that has health checks disabled produces health_check_enabled: false, so an exported configuration re-applies to the same state.
A long first boot can also exceed the platform's own deployment timeout, which is independent of health checks. If a deployment is still reported as failed with health checks disabled, the startup is taking longer than the platform waits for it.
For complete API documentation and additional options, see the API reference.