Understand Service Quotas for Confluent Cloud¶
There is a maximum quantity of resources and operations that can be used by organizations, environments, accounts, networks, and clusters in Confluent Cloud. These service quotas, or default limits, enable Confluent to manage the availability and scalability of Confluent Cloud resources.
Service quotas are grouped by the resource scope that they apply to. Some resource limits are different for different scopes.
- The default limits are usually adequate for most use cases, but if your requirements exceed the default limits, you can request increases for many of the default limits. For service quotas that have a quota code (ID) listed below, you use the use the Quotas API to get the current values.
- All Confluent Cloud resources have hard thresholds that cannot be exceeded, but many of the default quotas can be increased based on your changing requirements. To request an increase for a quota, contact Confluent Support.
- Client quotas define throughput limits for specific principals on Dedicated Clusters. For more information about client quotas, see Multi-Tenancy and Client Quotas on Confluent Cloud.
Service quota notifications¶
You can manage notifications for service quota events with the Confluent Cloud Console or with the REST API. For more information, see Notifications for Confluent Cloud.
Confluent Cloud service quota notification thresholds are as follows:
| Usage (% quota) | Notification level |
|---|---|
| 50 | Information |
| 90 | Warning |
| 100 | Critical |
When notifications are enabled for a given notification level, you get notifications for each quota that exceeds the relevant notification threshold (50%, 90%, or 100% usage).
- Only quotas that have usage data available are eligible for notifications.
- Notifications are sent only for exceeding a notification threshold, not for dipping beneath a threshold.
- Usage data is returned only if there has been non-zero usage. To see if a service quota generates usage data that can be used for notifications, review the Usage data column in the tables below.