Metrics
The Metrics page in Settings gives you a complete view of Akto’s data processing pipeline. It helps you understand how runtime and Cyborg components are performing, how much data is flowing through the system, and whether anything is falling behind.
Use these charts to verify ingestion health, diagnose issues, and track overall platform performance.

Runtime
These metrics show how Akto’s runtime processing pipeline is behaving. They help you validate that Akto is receiving and processing API traffic correctly.
Records Count: Total records processed
Records Size: Total data volume
Processing Latency: Time to process each record
Kafka Lag: Delay in consuming messages
Consumption Rate: Records consumed per second
Fetch Latency: Time to fetch from Kafka
Bytes Rate: Bytes consumed per second
Discovery
Metrics powered by Cyborg that track API discovery and catalog growth.
New APIs: Newly detected APIs
Total APIs: All APIs tracked
Catalog Items: Total items discovered
New Items: Recently added catalog items
Payload Size: Total payload volume
Cyborg
These metrics show performance and throughput for Akto’s API discovery engine.
Call Latency: Time per Cyborg call
Call Count: Number of Cyborg calls
Data Size: Data processed by Cyborg
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