Changes for performance improvement.
The primary improvements include replacing GraphQL queries with
REST-based client configuration fetching and making the client config
non render-blocking
# Introduction
Added a no-explicit-any rule to the twenty-server, not applicable to
tests and integration tests folder
Related to https://github.com/twentyhq/core-team-issues/issues/975
Discussed with Charles
## In case of conflicts
Until this is approved I won't rebased and handle conflict, just need to
drop two latest commits and re run the scripts etc
## Legacy
We decided not to handle the existing lint error occurrences and
programmatically ignored them through a disable next line rule comment
## Open question
We might wanna activate the
[no-explicit-any](https://typescript-eslint.io/rules/no-explicit-any/)
`ignoreRestArgs` for our use case ?
```
ignoreRestArgs?: boolean;
```
---------
Co-authored-by: etiennejouan <jouan.etienne@gmail.com>
Done :
- move metrics and health cache services from health module to metrics
module
- refactor metrics counter from specific method to set up from enum keys
- add OpenTelemetry (Otel) instrumentation for metrics
- set up Otel SDK to send metrics to Otel collector
To do later :
- implement Otel instrumentation for traces + plug Sentry on top
### Context
For calendar and message sync job health monitoring, we used to
increment a counter in redis cache which could lead to concurrency
issue.
### Solution
- Update to a set structure in place of counter + use sAdd redis method
which is atomic
- Each minute another counter was incremented on a new cache key ->
Update to a 15s window
- Remove ONGOING status not needed. We only need status at job end (or
fail).
### Potential improvements
- Check for cache key existence before fetching data to avoid useless
call to redis ?
closes https://github.com/twentyhq/twenty/issues/10070
Context :
We want to implement some counters to monitor server health. First
counters will track : messageChannel sync status during job execution
and invalid captcha.
How :
Counters are stored in cache and grouped by one-minute windows.
Controllers are created for each metric, aggregating counter over a
five-minutes window.
Endpoints are public and will be queried by Prometheus.
closes https://github.com/twentyhq/core-team-issues/issues/55
