Matrix/matrix-docker-ansible-deploy
1
0
Fork 0
mirror of https://github.com/spantaleev/matrix-docker-ansible-deploy.git synced 2024-11-14 10:04:46 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix unit inaccuracy in documentation for cache-autotuning-related variables

Browse Source 
Related to: https://github.com/spantaleev/matrix-docker-ansible-deploy/pull/3017
This commit is contained in:
Slavi Pantaleev 2024-02-14 12:25:34 +02:00
parent 8b0e25966e
commit 1cd82cf068
2 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
CHANGELOG.md
View File

@ -9,8 +9,8 @@ The playbook has always used a very conservative cache factor (`matrix_synapse_c
The playbook now uses **a 20x larger cache factor** (currently `10`), adjusts a few other cache-related variables, and **enables cache auto-tuning** via the following variables:
- `matrix_synapse_cache_autotuning_max_cache_memory_usage` - defaults to 1/8 of total RAM with a cap of 2GB; values are specified in bytes
- `matrix_synapse_cache_autotuning_target_cache_memory_usage` - defaults to 1/16 of total RAM with a cap of 1GB; values are specified in bytes
- `matrix_synapse_cache_autotuning_max_cache_memory_usage` - defaults to 1/8 of total RAM with a cap of 2GB; values are specified in KB
- `matrix_synapse_cache_autotuning_target_cache_memory_usage` - defaults to 1/16 of total RAM with a cap of 1GB; values are specified in KB
- `matrix_synapse_cache_autotuning_min_cache_ttl` - defaults to `30s`
These values should be good defaults for most servers, but may change over time as we experiment further.

4
docs/maintenance-synapse.md
View File

@ -86,8 +86,8 @@ Tuning the cache factor is useful only to a limited degree (as its crude to do i
Cache autotuning is **enabled by default** and controlled via the following variables:
- `matrix_synapse_cache_autotuning_max_cache_memory_usage` - defaults to 1/8 of total RAM with a cap of 2GB; values are specified in bytes
- `matrix_synapse_cache_autotuning_target_cache_memory_usage` - defaults to 1/16 of total RAM with a cap of 1GB; values are specified in bytes
- `matrix_synapse_cache_autotuning_max_cache_memory_usage` - defaults to 1/8 of total RAM with a cap of 2GB; values are specified in KB
- `matrix_synapse_cache_autotuning_target_cache_memory_usage` - defaults to 1/16 of total RAM with a cap of 1GB; values are specified in KB
- `matrix_synapse_cache_autotuning_min_cache_ttl` - defaults to `30s`
You can **learn more about cache-autotuning and the global cache factor settings** in the [Synapse's documentation on caches and associated values](https://matrix-org.github.io/synapse/latest/usage/configuration/config_documentation.html#caches-and-associated-values).