This should resolve https://github.com/coder/internal/issues/728 by
refactoring the ResourceMonitorAPI struct to only require querying the
resource monitor once for memory and once for volumes, then using the
stored monitors on the API struct from that point on. This should
eliminate the vast majority of calls to `GetWorkspaceByAgentID` and
`FetchVolumesResourceMonitorsUpdatedAfter`/`FetchMemoryResourceMonitorsUpdatedAfter`
(millions of calls per week).
Tests passed, and I ran an instance of coder via a workspace with a
template that added resource monitoring every 10s. Note that this is the
default docker container, so there are other sources of
`GetWorkspaceByAgentID` db queries. Note that this workspace was running
for ~15 minutes at the time I gathered this data.
Over 30s for the `ResourceMonitor` calls:
```
coder@callum-coder-2:~/coder$ curl localhost:19090/metrics | grep ResourceMonitor | grep count
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0coderd_db_query_latencies_seconds_count{query="FetchMemoryResourceMonitorsByAgentID"} 2
coderd_db_query_latencies_seconds_count{query="FetchMemoryResourceMonitorsUpdatedAfter"} 2
100 288k 0 288k 0 0 58.3M 0 --:--:-- --:--:-- --:--:-- 70.4M
coderd_db_query_latencies_seconds_count{query="FetchVolumesResourceMonitorsByAgentID"} 2
coderd_db_query_latencies_seconds_count{query="FetchVolumesResourceMonitorsUpdatedAfter"} 2
coderd_db_query_latencies_seconds_count{query="UpdateMemoryResourceMonitor"} 155
coderd_db_query_latencies_seconds_count{query="UpdateVolumeResourceMonitor"} 155
coder@callum-coder-2:~/coder$ curl localhost:19090/metrics | grep ResourceMonitor | grep count
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0coderd_db_query_latencies_seconds_count{query="FetchMemoryResourceMonitorsByAgentID"} 2
coderd_db_query_latencies_seconds_count{query="FetchMemoryResourceMonitorsUpdatedAfter"} 2
100 288k 0 288k 0 0 34.7M 0 --:--:-- --:--:-- --:--:-- 40.2M
coderd_db_query_latencies_seconds_count{query="FetchVolumesResourceMonitorsByAgentID"} 2
coderd_db_query_latencies_seconds_count{query="FetchVolumesResourceMonitorsUpdatedAfter"} 2
coderd_db_query_latencies_seconds_count{query="UpdateMemoryResourceMonitor"} 158
coderd_db_query_latencies_seconds_count{query="UpdateVolumeResourceMonitor"} 158
```
And over 1m for the `GetWorkspaceAgentByID` calls, the majority are from
the workspace metadata stats updates:
```
coder@callum-coder-2:~/coder$ curl localhost:19090/metrics | grep GetWorkspaceByAgentID | grep count
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 284k 0 284k 0 0 42.4M 0 --:--:-- --:--:-- --:--:-- 46.3M
coderd_db_query_latencies_seconds_count{query="GetWorkspaceByAgentID"} 876
coder@callum-coder-2:~/coder$ curl localhost:19090/metrics | grep GetWorkspaceByAgentID | grep count
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 284k 0 284k 0 0 75.4M 0 --:--:-- --:--:-- --:--:-- 92.7M
coderd_db_query_latencies_seconds_count{query="GetWorkspaceByAgentID"} 918
```
---------
Signed-off-by: Callum Styan <callumstyan@gmail.com>
As part of the new resources monitoring logic - more specifically for
OOM & OOD Notifications , we need to update the AgentAPI , and the
agents logic.
This PR aims to do it, and more specifically :
We are updating the AgentAPI & TailnetAPI to version 24 to add two new
methods in the AgentAPI :
- One method to fetch the resources monitoring configuration
- One method to push the datapoints for the resources monitoring.
Also, this PR adds a new logic on the agent side, with a routine running
and ticking - fetching the resources usage each time , but also storing
it in a FIFO like queue.
Finally, this PR fixes a problem we had with RBAC logic on the resources
monitoring model, applying the same logic than we have for similar
entities.
Callum Styan