View InfluxDB Cloud data usage
View the statistics of your data usage and rate limits (reads, writes, and delete limits) on the Usage page. Some usage data affects monthly costs (pricing vectors) and other usage data, including delete limits, does not affect pricing. For more information about costs and limits, see the pricing plans.
To view your InfluxDB Cloud data usage, do the following:
Click the user avatar on the left-side navigation.
Select a time range to review data usage (by default,
Past 24h), and then select one of the following:
- Data In: Total data in MB written to your InfluxDB Cloud instance.
- Query Count: Total number of individual query operations, which include queries, tasks (alerts, notifications) and Data Explorer activity.
- Storage: Total disk usage in gigabytes.
- Data Out: Total data in MB sent as responses to queries from your InfluxDB Cloud instance.
A line graph displays usage for the selected vector for the specified time period.
Exceeded rate limits
If you exceed your plan’s data limits, InfluxDB Cloud UI displays a notification message, and the following occurs:
When write or read requests or series cardinality exceed the specified limit within a five-minute window, the request is rejected and the following events appears under Limit Events on the Usage page as applicable:
To raise these rate limits, upgrade to a Usage-based Plan.
When delete requests exceed the specified limit within a five-minute window, the request is rejected and
event_type_limited_delete_rateappears under Limit Events on the Usage page.
Tip: Combine predicate expressions (if possible) into a single request. InfluxDB rate limits per number of requests (not points in request).
InfluxDB API: HTTP rate limit responses
The InfluxDB API returns the following responses:
When a read or write or delete request exceeds limits:
HTTP 429 “Too Many Requests” Retry-After: xxx (seconds to wait before retrying the request)
When series cardinality exceeds your plan’s limit:
HTTP 503 “Series cardinality exceeds your plan's limit”
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.