Sample project acs-transform-cluster includes Docker Compose templates providing simple clusterization approach for both Community and Enterprise releases of the Alfresco Transform Service
Note this is a sample deployment designed for education purposes. When scaling up Alfresco Transform Service in real world, additional requirements should impact in the design of the final deployment.
Alfresco Transform Service for ACS Community
When using Alfresco Community, Transform Service is a HTTP Endpoint that provides the transformation operations.
Improving availablity or performance may be achieved by adding a Load Balancer Web Proxy in front of a number of transform-core-aio services.
The docker-compose.yml file includes:
-DlocalTransform.core-aio.url=http://transform-core-aio-proxy/
NGINX balancer configuration is available in acs-community/config/nginx-core-aio.conf file.
This configuration increases Transform Service availability and performance, doubling the resources available to perform transformation operations
Alfresco Transform Service for ACS Enterprise
When using Alfresco Enterprise, Transform Service includes a number of services:
Improving availability or performance may be achieved by adding Load Balancer Web Proxies in front of the Transform Services.
The docker-compose.yml file includes:
Configuration for alfresco, transform-router and transform-core-aio are including links to Web Proxy services instead of accesing to individual instances of Transform Services.
NGINX balancer configuration for every service is available in:
This configuration increases Transform Service availability and performance, doubling the resources available to perform transformation operations
Scaling up considerations
When designing a deployment strategy to provide High Availability, duplicating services may be a valid approach.
However, when designing a deployment strategy to improve performance, not every service may be duplicated. Additionally, some of the services may require more than 2 instances.
Performing a load test and evaluating resources consumption for every service would help to identify the number of required services for some specific use case.
For instance, you can get those numbers for Docker using following command:
$ watch -n 0.1 'docker stats --no-stream --format "table {{.Name}}\t{{.Container}}\t{{.CPUPerc}}\t{{.MemUsage}}" | sort -k 1 -h' NAME CONTAINER CPU % MEM USAGE / LIMIT activemq-1 18ab47a538b8 2.54% 229.4MiB / 1GiB alfresco-1 95e6ea8474cb 2.14% 1.26GiB / 1.66GiB digital-workspace-1 d45ed1bb6066 0.00% 4.996MiB / 128MiB postgres-1 be0b57f19faa 0.04% 153.1MiB / 512MiB proxy-1 e8697e28b561 0.00% 2.109MiB / 128MiB share-1 b08000d2b88d 0.14% 462MiB / 1GiB shared-file-store-1-1 ccf83b2f0006 0.17% 129.7MiB / 512MiB shared-file-store-2-1 d7cdc4d57415 0.15% 131.8MiB / 512MiB shared-file-store-proxy-1 945c694fda08 0.00% 2.141MiB / 19.55GiB solr6-1 0c597f2fed85 0.50% 768.4MiB / 2GiB sync-service-1 c75aba87e15c 0.74% 432.7MiB / 1GiB transform-core-aio-1-1 a11d81b9d78e 1.16% 377.5MiB / 1.5GiB transform-core-aio-2-1 a3e2200736b7 1.15% 378.6MiB / 1.5GiB transform-core-aio-proxy-1 eaeebe7f58f0 0.00% 2.273MiB / 19.55GiB transform-router-1-1 91a54b89287e 8.69% 265.4MiB / 512MiB transform-router-2-1 00c875133b1f 4.17% 260.8MiB / 512MiB transform-router-proxy-1 fac01c065ce3 0.00% 2.23MiB / 19.55GiB
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