Customize Infrastructure Configuration

The template configuration files, which were installed by the previous step, need to be customized for your project. Please go through at least the files in the .platform/ folder and adapt them to your needs.

Configure your environments

The default Symfony environment for Pimcore projects is dev, you may customize that for your PaaS environments accordingly.

1. In the Pimcore PaaS Console, go to Settings -> Environments and select an environment, e.g. production.
2. Open the tab Variables
3. Create a new variable with the name env:APP_ENV and the value prod
4. Pimcore now runs in production mode

RabbitMQ

RabbitMQ is configured as the default transport for Symfony messenger. If you would like to change that, you need to update the following files and remove the RabbitMQ config and dependencies:

• config/pimcore/startup.php
• config/packages/messenger.yaml
• .platform/applications.yaml
• .platform/services.yaml
• composer.json

OpenSearch

For starting a new project based on Enterprise demo, the default configuration on the Pimcore side is done for OpenSearch. If you are migrating your project and want to use OpenSearch, uncomment the following block in config/platform.yaml:

pimcore_open_search_client:
    clients:
        default:
            hosts: ['%env(PIMCORE_OPENSEARCH_CLIENT_HOST)%']
            ssl_verification: false

S3 buckets storage

We support S3 buckets as storage. Default configuration is provided by Pimcore. If you would like to use S3 buckets as storage, you need to uncomment the assets_s3 service definition and the flysystem storage blocks in config/platform.yaml, and add the following variables to your project/environment in the Pimcore PaaS Console:

• env:S3_STORAGE_KEY - with the access key
• env:S3_STORAGE_SECRET- with the secret
• env:S3_PRIVATE_BUCKET - with the name of the bucket which will contain private files
• env:S3_PUBLIC_BUCKET - with the name of the bucket which will contain publicly available files

S3 bucket policies

Your bucket policies could be configured as following:

• Public files

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "AWS": "arn:aws:iam::id:user/username"
            },
            "Action": [
                "s3:ListBucket",
                "s3:GetObject",
                "s3:PutObject",
                "s3:ReplicateObject",
                "s3:DeleteObject"
            ],
            "Resource": [
                "arn:aws:s3:::pimcore-public/*",
                "arn:aws:s3:::pimcore-public"
            ]
        },
        {
            "Sid": "PublicRead",
            "Effect": "Allow",
            "Principal": "*",
            "Action": "s3:GetObject",
            "Resource": "arn:aws:s3:::pimcore-public/*"
        }
    ]
}

• Private files

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Principal": {
                "AWS": "arn:aws:iam::id:user/username"
            },
            "Action": [
                "s3:ListBucket",
                "s3:GetObject",
                "s3:PutObject",
                "s3:ReplicateObject",
                "s3:DeleteObject"
            ],
            "Resource": [
                "arn:aws:s3:::pimcore-private/*",
                "arn:aws:s3:::pimcore-private"
            ]
        }
    ]
}

You could also combine Cloudfront with your S3 config to optimize performance and costs of an S3 bucket. Check the guide

Sitemaps configuration

By default sitemaps configs are commented out. If you would like to enable it, uncomment it within applications.yaml under mounts and web configuration.

DataHub Configuration

ProductSup Export Cron Job

Enable the DataHub ProductSup cron job to process exports regularly:

datahub_product_sup:
    spec: "* * * * *"
    commands:
        start: "php $PLATFORM_APP_DIR/bin/console datahub:export:productsup -p 1 --only-queue-items"

The same applies to other processes like datahub:simple-rest:process-queue:

datahub:simple-rest:process-queue:
    spec: "* * * * *"
    commands:
        start: "php $PLATFORM_APP_DIR/bin/console datahub:simple-rest:process-queue -p 1 --only-queue-items --batch-size=20"

Processes using this parallelization mechanism that should be considered:

• pimcore:thumbnails:image
• pimcore:thumbnails:video
• ecommerce:indexservice:bootstrap
• ecommerce:indexservice:process-preparation-queue
• ecommerce:indexservice:process-update-queue
• datahub:simple-rest:process-queue
• datahub:data-importer:process-queue-parallel
• datahub:export:productsup
• data-sync:export:batch-export
• data-sync:export:transfer-export-queue
• data-sync:sync:deletions
• data-sync:import:execute-import-task

IMPORTANT! It is possible that the list of commands which utilize parallelization is incomplete in the docs, so if you are experiencing low throughput on a command you should check whether -p is available.

Process Configuration (-p and --batch-size parameters):

• Use default: -p 1 (single process)
• Use default --batch-size=20 so that command processes items in groups of 20, allowing intermediate cleanup and resource release between batches
• For higher throughput: increase to e.g. -p 2 depending on your export volume
• Consider your container resources when increasing the process count as it can affect performance

Where applicable, consider using --main-process instead of -p 1. While -p 1 limits execution to a single worker while keeping the parallelization mechanism available, --main-process completely disables parallel execution.

Workflow Designer

There is a limitation with workflows due to the functionality of the Symfony Workflow component. The component only supports Symfony Config, which prevents setting the configuration via LocationAwareConfigRepository. For more information, see the Pimcore documentation on configuration storage locations

We recommend to create workflows using the Workflow Designer locally and put the generated workflow configuration file(s) into the ie. '%kernel.project_dir%/config/workflows/workflows.yaml' and add them to Git. To do so the following change in the configuration is necessary: Add an import statement in the /config/config.yaml file:

imports:
    - { resource: 'workflows/' }

Ensure that your workflow YAML file(s) is placed in the /config/workflows/ directory. By following these steps, the workflow configuration process should work smoothly.

Large asset uploads

Several parameters influence the maximum size of assets you can upload. They operate at different layers (router vs. PHP), and the smallest limit will always win.

Upsun router limit

• max_request_size
  Default: 250 MB
  This is the maximum HTTP request size accepted by the Upsun router (mapped to nginx’s client_max_body_size).
  When you encounter a 413 Request Entity Too Large, this limit was exceeded.
  See: Upsun Docs

PHP limits

• upload_max_filesize
  Default: 2 MB
  Maximum size of a single uploaded file.

• post_max_size
  Default: 8 MB
  Maximum size of the entire POST body, including all files, fields, and multipart overhead.

• max_file_uploads
  Default: 20
  Maximum number of files allowed in one request.

Required hierarchy

To avoid unexpected rejections at different layers, ensure: max_request_size > post_max_size > upload_max_filesize

About memory_limit

memory_limit does not cap upload size directly, since PHP streams uploaded files to temporary storage on disk.
However, PHP still needs sufficient memory to parse the POST body and populate $_POST/$_FILES.

Because post_max_size defines the largest payload PHP will process, memory_limit should always be greater than post_max_size to prevent fatal “Allowed memory size exhausted” errors.

How to override PHP limits on PaaS

You can override PHP settings in .platform/applications.yaml under the variables.php section of your app definition (e.g., pimcore:). For example, to allow uploading files up to 256 MB:

pimcore:
    variables:
        php:
            upload_max_filesize: 256M
            post_max_size: 300M
            memory_limit: 512M
            max_file_uploads: 50