IPs utilization
Use the GraphQL API to get aggregate data and monitor your dedicated IPs capacity (formerly known as Aegis).
Each Dedicated CDN Egress IP can support 40,000 concurrent connections per origin IP port. For example, if you have one dedicated IP and two origins (A and B), this single IP can support 40,000 concurrent connections to origin A, while simultaneously supporting 40,000 concurrent connections to origin B.
Refer to the GraphQL Analytics API documentation for further guidance, or consider the example below for a quickstart.
The specific schema to get Dedicated CDN Egress IPs data is called aegisIpUtilizationAdaptiveGroups.
You can get average (avg) or maximum (max) utilization values (in percentage), and use the following dimensions:
-
datetimeFiveMinutestime- Timestamp truncated to five minutes. For example,
2025-01-10T00:05:00Z.
- Timestamp truncated to five minutes. For example,
-
popNamestring- The Cloudflare point of presence (PoP). For example,
sjc.
- The Cloudflare point of presence (PoP). For example,
-
egressIpstring- Your assigned Dedicated CDN Egress IP. For example,
192.0.2.1.
- Your assigned Dedicated CDN Egress IP. For example,
-
originstring- Origin IP and port. For example,
203.0.113.150:443.
- Origin IP and port. For example,
-
popUtilizationKeystring- The Cloudflare point of presence (PoP), the Dedicated CDN Egress IP, and the origin IP and port. For example,
sjc 192.0.2.1 203.0.113.150:443.
- The Cloudflare point of presence (PoP), the Dedicated CDN Egress IP, and the origin IP and port. For example,
Refer to the query below to learn how to get average utilization and maximum utilization by point of presence, and filter the results.
You can also select the button at the bottom to use this query for your account via the Cloudflare GraphQL API Explorer ↗. Make sure to provide your account ID and timestamps, and replace the placeholders for popName, egressIp, and origin as needed.
query AegisIpUtilizationQuery( $accountTag: string $datetimeStart: string $datetimeEnd: string) { viewer { utilization: accounts(filter: { accountTag: $accountTag }) { avgByPopUtilization: aegisIpUtilizationAdaptiveGroups( limit: 100 filter: { datetimeFiveMinutes_geq: $datetimeStart datetimeFiveMinutes_leq: $datetimeEnd } orderBy: [datetimeFiveMinutes_ASC] ) { avg { utilization } dimensions { datetimeFiveMinutes popUtilizationKey } }
maxByPopUtilization: aegisIpUtilizationAdaptiveGroups( limit: 100 filter: { datetimeFiveMinutes_geq: $datetimeStart datetimeFiveMinutes_leq: $datetimeEnd } orderBy: [datetimeFiveMinutes_ASC] ) { max { utilization } dimensions { datetimeFiveMinutes popUtilizationKey } }
filterPopUtilization: aegisIpUtilizationAdaptiveGroups( limit: 100 filter: { datetimeFiveMinutes_geq: $datetimeStart datetimeFiveMinutes_leq: $datetimeEnd popName: "<CLOUDFLARE_POP>" } orderBy: [datetimeFiveMinutes_ASC] ) { max { utilization } dimensions { datetimeFiveMinutes popUtilizationKey } }
filterIPUtilization: aegisIpUtilizationAdaptiveGroups( limit: 100 filter: { datetimeFiveMinutes_geq: $datetimeStart datetimeFiveMinutes_leq: $datetimeEnd egressIp: "<YOUR_EGRESS_IP>" } orderBy: [datetimeFiveMinutes_ASC] ) { max { utilization } dimensions { datetimeFiveMinutes popUtilizationKey } }
filterOriginUtilization: aegisIpUtilizationAdaptiveGroups( limit: 100 filter: { datetimeFiveMinutes_geq: $datetimeStart datetimeFiveMinutes_leq: $datetimeEnd origin: "<ORIGIN_IP_AND_PORT>" } orderBy: [datetimeFiveMinutes_ASC] ) { max { utilization } dimensions { datetimeFiveMinutes popUtilizationKey } } } }}Was this helpful?
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