API Metrics

• API Uptime: Uptime is the continuous availability of an API, in order words, making sure the API is fully-functional without any outages.

• Requests Per Minute: Requests per minute is a performance metric that measures the number of requests the API will handle per minute.

• CPU Usage: Keeping track of the CPU is one of the important aspects of performance because high CPU usage can mean the server is overloaded, which can cause a severe bottleneck.

• Latency: Latency or Network Latency is the time it takes for data or a request to go from one system to another system. It can be either between client & server or server & server(in the case of distributed services).

• Memory Usage: Memory usage helps you understand the amount of resource utilization; a high memory usage can be an indicator of servers overloaded.

• Time To First Hello World: TTFHW is the time the user needs to make his first API transaction from the web page.

• Errors Per Minute: Errors per Minute (or error rate) is the number of API calls with failure responses

See also

• Monitoring: On call, Monitoring software, Monitoring services, Resource monitoring, Metric colletion tools, network monitoring, SLA Management Monitoring Tools, Alarm/Alert, Resource starvation, Alerts and notifications, Monitoring Kubernetes, VictoriaMetrics, Sensu, LogicMonitor, Distributed tracing
• API, Redfish (specification), GRPC, RESTful, FastAPI, AWS API Gateway Service, OpenAPI, GraphQL, Protocol Buffers, Google APIs Explorer, Zapier, Postman, Full Life Cycle API Management, GSSAPI, Apilayer, Amazon API Gateway, Apigee, API as a Service (APIaaS), Crypto API