You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Lately we are facing throttling errors, as per references Azure rate limit and request count metric should give an insight on the throttling behavior
We added separate job to bring Rate limit and request count metrics using the /metrics endpoint
ISSUE :
But we are having trouble understanding the pattern between the API hits, request count metric and rate limit metric.
We are considering the Request count metrics at below 2 levels i.e
1.Request count Per TenantID, SubscriptionID & RP
2. Request count Per SubscriptionID
As per MS documentation:
Throttling limits:-
Subscription reads - 12000 k per hour
Since we have 2 jobs configured, so 2 API calls should be triggered for each scrape interval
With this context below are our assumptions
for every scrape interval (1 minute), request count should increase by 2 and api rate limit per subscription decrease by 2.
There should be a correlation between Request count per subscription and rate limit
Observation 1:
Once the exporter is hosted, for the 1st hour we observe the same pattern as mentioned in assumption 1.
but from the next hour the pattern disappears i.e request count Per Tenant, Sub & RP is keep on increasing but rate limit is kind of maintained ~11850. please refer the below screenshot
Rate limit subscription id vs Request count Resource provider
Observation 2:
And for every 1 hour request count Per Subscription increased by 21, though we see a dip in rate limit count again its restored to ~11850.
please refer below screenshot.
Rate limit subscription id vs Request Count Subscription id
Kindly help us to understand this behavior and pattern observed from rate limit and request count metrics.
The text was updated successfully, but these errors were encountered:
@mblaschke We have an observability requirement, to fetch metrics from Azure resources and ingest the data to our centralized Platform.
Endpoint used: /probe/metrics
Input parameters: subscription, resourcetype and region.
Number of jobs: 3
Job1 - PT1M metrics
Job2 - PT1H metrics
Job3 - rate limit and request count metrics
Scrape interval - Every 1 minute
please find the exporter configuration file below.
exporter-configuration.txt
Lately we are facing throttling errors, as per references Azure rate limit and request count metric should give an insight on the throttling behavior
We added separate job to bring Rate limit and request count metrics using the /metrics endpoint
ISSUE :
But we are having trouble understanding the pattern between the API hits, request count metric and rate limit metric.
We are considering the Request count metrics at below 2 levels i.e
1.Request count Per TenantID, SubscriptionID & RP
2. Request count Per SubscriptionID
As per MS documentation:
Throttling limits:-
Subscription reads - 12000 k per hour
Since we have 2 jobs configured, so 2 API calls should be triggered for each scrape interval
With this context below are our assumptions
Observation 1:
Once the exporter is hosted, for the 1st hour we observe the same pattern as mentioned in assumption 1.
but from the next hour the pattern disappears i.e request count Per Tenant, Sub & RP is keep on increasing but rate limit is kind of maintained ~11850. please refer the below screenshot
Rate limit subscription id vs Request count Resource provider

Observation 2:
And for every 1 hour request count Per Subscription increased by 21, though we see a dip in rate limit count again its restored to ~11850.
please refer below screenshot.
Rate limit subscription id vs Request Count Subscription id

Kindly help us to understand this behavior and pattern observed from rate limit and request count metrics.
The text was updated successfully, but these errors were encountered: