Function Metrics

Introduction

This section describes the FunctionGraph namespaces, function metrics, and dimensions reported to Cloud Eye. You can view function metrics and alarms by using the Cloud Eye console or calling APIs.

Namespaces

SYS.FunctionGraph

Function Metrics

**Table 1** Function metrics
Metric ID	Metric Name	Description	Value Range	Monitored Object	Monitoring Period of Raw Data (Minute)
count	Invocations	Number of function invocations Unit: Count	≥ 0 counts	Functions	5
failcount	Errors	Number of invocation errors The following errors are included: Function request error (causing an execution failure and returning error code 200) Function syntax or execution error Unit: Count	≥ 0 counts	Functions	5
failRate	Error rate	Percentage of invocation errors to the total invocations Unit: %	0% ≤X≤ 100%	Functions	5
rejectcount	Throttles	Number of function throttles That is, the number of times that FunctionGraph throttles your functions due to the resource limit. Unit: Count	≥ 0 counts	Functions	5
concurrency	Number of concurrent requests	Maximum number of concurrent requests during function invocation. Unit: Count	≥ 0 counts	Functions	5
reservedinstancenum	Number of reserved instances	Number of reserved instances Unit: Count	≥ 0 counts	Functions	5
duration	Average duration	Average duration of function invocation Unit: ms	≥ 0 ms	Functions	5
maxDuration	Maximum duration	Maximum duration of function invocation Unit: ms	≥ 0 ms	Functions	5
minDuration	Minimum duration	Minimum duration of function invocation Unit: ms	≥ 0 ms	Functions	5
systemErrorCount	System errors	Number of errors in function requests that result in failed executions. Unit: Count	≥ 0	Functions	5
functionErrorCount	Function errors	Number of syntax and execution errors. Unit: Count	≥ 0	Functions	5
payPerUseInstance	Number of elastic instances.	Number of elastic instances. Unit: Count	≥ 0	Functions	5

**Table 2** Flow metrics
Metric ID	Metric Name	Description	Value Range	Monitored Object	Monitoring Period of Raw Data (Minute)
toalCount	Invocations	Number of flow invocations Unit: Count	≥ 0 counts	Flows	1
errorCount	Errors	Number of invocation errors Unit: Count	≥ 0 counts	Flows	1
running	Running Workflows	Number of running flows Unit: Count	≥ 0 counts	Flows	1
rejectCount	Throttles	Number of flow throttles Unit: Count	≥ 0 counts	Flows	1
averageDuration	Average Duration	Average duration of flow invocation Unit: ms	≥ 0 ms	Flows	1

Dimensions

Key	Value
package-functionname	App name-Function name Example: default-myfunction_Python
graph_name	Flow name
projectId	Project ID of the tenant

Key

Value

package-functionname

App name-Function name

Example: default-myfunction_Python

graph_name

Flow name

projectId

Project ID of the tenant

Parent topic: Metrics

Previous topic: Function Monitoring

Next topic: Creating an Alarm Rule

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