We had multiple experiment so far to collect high cardinality data (mainly in aggregated form).
1. we have a `/top` endpoint which aggregates events with upper bound
2. we use same api (eventstat) to publish S3 gateway-mt agents to influxdb
This patch starts to replace theses api with jtolio/eventkit. Instead of aggregation all events can be sent to a collector host where we can do aggregation and/or persisting data.
Change-Id: Id6df4882b51d2dbd2be9401ee4199d14f3ff7186
As a reminder
* This counters are for data with high-cardinality
* We have strong upper bound for memory limits
* They can be accessed from /top monitoring interface
Example:
```
curl 172.20.0.10:11111/top
since ~ 2022-08-09T07:45:58Z
auth_request_count project=9094cff8-104e-4956-a367-97ea134b7e06 11.000000
auth_request_buckets 1.000000
auth_request_discarded 0.000000
auth_request_count partner=00000000-0000-0000-0000-000000000000 11.000000
auth_request_buckets 1.000000
auth_request_discarded 0.000000
```
Note: discarded 0 --> we didn't hit the memory limit.
Change-Id: I8db09b4aa61bade55cb324b84b7fbcb8f068c179
Currently, requests that were successfully passed through the metainfo
endpoints rate-limiter might still fail in the middle of the
corresponding response. The problem is that we perform rate-limiting a
second time, which means other requests would influence whether the
current (already rate-checked) request will fail. This also has other
unintended effects, like responding with rpcstatus.PermissionDenied for
requests that were successfully rate-checked and did not lack
permissions but were rate-checked again in the middle of
(*Endpoint).BeginObject. This situation has been happening on the
gateway side and might affect other uplink clients. This change, where
appropriate, swaps subsequent validateAuth with validateAuthN that
performs rate-limiting once.
Change-Id: I6fc26dedb8c442dd20acaab5942f751279020b08
