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Marius Andra 606525644e
Add deployment environment variables (#2874) 
* add deployment env to track instances

* Rename Production ECS

Co-authored-by: Karl-Aksel Puulmann <oxymaccy@gmail.com>
2021-01-11 13:25:40 +01:00
..
applications.yaml Add deployment environment variables (#2874) 2021-01-11 13:25:40 +01:00
README.md One click deploy for platform.sh (#1044) 2020-06-18 16:12:07 +02:00
routes.yaml One click deploy for platform.sh (#1044) 2020-06-18 16:12:07 +02:00
services.yaml One click deploy for platform.sh (#1044) 2020-06-18 16:12:07 +02:00

README.md

PostHog for Platform.sh

Deploy with Platform.sh

This template builds PostHog on Platform.sh, using the gunicorn application server. In the deployment process you will be able to choose from multiple regions (from Australia to the US West Coast) with strict data locality guarantees which could help you with latency as well as GDPR, German BDSG, Canadian PIPEDA, and the Australian Privacy Act compliance.

Services

  • Python 3.8
  • PostgreSQL 12.X
  • Persistent Redis 5.x

Customizations

The following files have been added to a basic PostHog configuration.

  • The .platform/applications.yaml, .platform/services.yaml, and .platform/routes.yaml and .environment files have been added. These provide Platform.sh-specific configuration and are present in all projects on Platform.sh. You may customize them as you see fit.

Some specific configuration options you may want to notice:

  • In .platform/applications.yaml the workers.worker.commands.start the option --concurrency=2 controls the concurrency of the celery workers on a production system, depending on the amount of resources you allocate you will want to bump it higher
  • In .environment the SECRET_KEY variable gets its value from a per-project stable generated secret. In a real production system you may want to have the value different between staging environments and the production environment
  • In .platform/applications.yaml the variables.env.NODE_OPTIONS with max_old_space_size has a magical value of 1536 this is because the build containers has 2GB of memory and would avoid getting webpack oom killed.
  • In .platform/service.yaml we allocate 2GB to the database and 0.5GB to the Redis instance, a real production system will probably require more, you have 5GB available to allocate in the base plan (and you can of course add more)

References