Scaling

This document covers the possibilities to scale the applications in openDesk.

It provides rough benchmarks for configuring your own environment across various scale levels. In production, resource demands are primarily driven by actual usage patterns and system load, especially the number of concurrently active users. Consequently, we strongly recommend implementing monitoring and logging solutions to detect usage trends and enable timely intervention when needed.

ApplicationRecommendationNote(s)
Collabora- 1 vCPU per 15 active users
- 50 MB RAM per active user
- 1 MBit/s per 10 active users
-
ElementPer 10k users with values for federation activated / federation deactivated:

Homeserver:
- 15 / 10 vCPU
- 12 / 8 GB RAM

Postgres:
- 10 / 4 vCPU
- 32 / 16 GB RAM
Required hardware resources are impacted by whether or not federation is being used
CryptpadNo large-scale deployments seen, minimum requirements:
- 2 vCPU
- 2 GB RAM
- 20 GB storage (depending on planned usage)
Most of the computation is done client-side
JitsiJitsi-Meet server:
- 4 vCPU
- 8 GB RAM

For every 200 concurrent users one JVB with:
- 8 vCPU
- 8 GB RAM

Network bandwidth:
- 1 GBit/s - 10 GBit/s small deployments
- 10 Gbit/s per bridge large deployments
JVB network bandwidth calculation depends on the stream resolution (HD vs. 4k).
NextcloudUp to 5k / more than 5k users:
- 4 to 20 Nextcloud AIO Pods with 8 vCPUs and 32 / 64 GB RAM each
- 2 / 4 DB servers with 8 / 16 vCPUs and 64 / 128 GB RAM each, plus DB load balancer
-
OpenProject- 4-6 vCPU per ~500 users
- 6-8 GB per ~500 users
- +20-50 GB storage per ~500 users, depending on workload and attachment storage1

- Web Workers: +4 per ~500 users
- Background Workers: +1-2 multithreaded workers per ~500 users, depending on workload
These values are guidelines and should be adjusted based on actual monitoring of resource usage. Scaling should prioritize CPU and RAM, prioritize scaling Web Workers first, followed by Background Workers and Disk Space as needed.
Open-XchangeFor ~200 users (64 concurrent users to App Suite & 128 users to Dovecot):
- 10 vCPU
- 58 GB RAM
- 660 GB storage
-
XWikiAdvise for small instances:
- 4 vCPU
- 6 GB RAM
-

Upstream information

While scaling services horizontally is the ideal solution, information about vertical scaling is helpful when defining the application’s resources, see resources.yaml.gotmpl for references.

Linked below is documentation related to scaling for upstream applications, where publically available:

Footnotes

  1. Nextcloud is configured for attachment storage as well.