Category | Metric name | Unit | Description |
Invocations | FunctionTotalInvocations | Count | The total number of function invocations in provisioned and on-demand modes. The sum is calculated every minute or every hour. |
FunctionProvisionInvocations | Count | The total number of function invocations in provisioned mode. The sum is calculated every minute or every hour. |
HTTP status codes | FunctionHTTPStatus2xx | Count | The number of invocations with 2XX HTTP status codes returned per second. The statistics is calculated based on the granularity of 1 minute, 5 minutes, or 1 hour. |
FunctionHTTPStatus3xx | Count | The number of invocations with 3XX HTTP status codes returned per second. The statistics is calculated based on the granularity of 1 minute, 5 minutes, or 1 hour. |
FunctionHTTPStatus4xx | Count | The number of invocations with 4XX HTTP status codes returned per second. The statistics is calculated based on the granularity of 1 minute, 5 minutes, or 1 hour. |
FunctionHTTPStatus5xx | Count | The number of invocations with 5XX HTTP status codes returned per second. The statistics is calculated based on the granularity of 1 minute, 5 minutes, or 1 hour. |
Number of errors | FunctionServerErrors | Count | The total number of requests for invocations of a function that failed to be executed due to Function Compute system errors. The sum is calculated every minute or every hour. Note HTTP trigger invocations for which 5xx status codes are returned are not included. |
FunctionClientErrors | Count | The total number of requests that are not executed or failed to be executed due to client errors of Function Compute and for which HTTP 4xx status codes are returned. The sum is calculated every minute or every hour. The following items describe some HTTP 4xx client errors: 400: invalid parameters.
403: invalid permissions.
404: resources not found.
412: A precondition failed. For example, the function instance fails to start in a custom runtime.
499: connections closed by clients before responses are sent.
For more information, see Public error codes. Note For 412 and 499 client error requests, if function execution has started, function logs have been generated, and billing has started, you can view the generated function logs for these requests in the list of invocation requests. For more information, see View function invocation logs. |
FunctionFunctionErrors | Count | The total number of failed function invocations caused by function errors. The sum is calculated every minute or every hour. |
Errors due to throttling | FunctionConcurrencyThrottles | Count | The total number of failed invocations of a function caused by excessive concurrent instances and for which the HTTP 429 status code is returned. The sum is calculated every minute or every hour. |
FunctionResourceThrottles | Count | The total number of failed invocations of a function caused by excessive instances and for which the HTTP 503 status code is returned. The sum is calculated every minute or every hour. |
Function execution time | FunctionAvgDuration | Milliseconds | The time from the start to the end of function executions. The time consumed by the platform is not included. The average value is calculated every minute or every hour. |
FunctionP90Duration | Milliseconds | The time from the start to the end of function executions. The time consumed by the platform is not included. P90 values are calculated based on specific granularities. A P90 value stands for a threshold below which the execution durations of 90% of invocations are. |
FunctionP99Duration | Milliseconds | The time from the start to the end of function executions. The time consumed by the platform is not included. P99 values are calculated based on specific granularities. A P99 value stands for a threshold below which the execution durations of 99% of invocations are. |
FunctionMaxDuration | Milliseconds | The time from the start to the end of function executions. The time consumed by the platform is not included. The maximum value is calculated every minute or every hour. |
End-to-end latency | FunctionLatencyAvg | Milliseconds | The average amount of time consumed by function invocations. The duration starts when a function execution request arrives at Function Compute and ends when the request leaves Function Compute, including the amount of time consumed by the platform. The average amount of time is calculated every minute or hour. |
Memory usage | FunctionMemoryLimitMB | MB | The maximum amount of memory that can be used by a function when the function is invoked. If the function consumes more memory than this upper limit, an out-of-memory (OOM) error occurs. The maximum value for all instances of the function is calculated every minute or every hour. |
FunctionMaxMemoryUsage | MB | The amount of memory that is actually consumed during function executions. The maximum value for all instances of the function is calculated every minute or every hour. |
Number of on-demand instances | FunctionOndemandInstanceQuota | Count | The maximum number of on-demand instances for a function. The value is not displayed if you do not configure the maximum number of on-demand instances. |
FunctionOndemandActiveInstance | Count | The number of on-demand instances that are actually occupied in function invocations. |
Number of provisioned instances | FunctionProvisionedCurrentInstance | Count | The number of provisioned instances that are occupied in function executions. |
Asynchronous invocations | FunctionEnqueueCount | Count | The number of enqueued requests when a function is asynchronously invoked. The sum is calculated every minute or every hour. |
FunctionDequeueCount | Count | The number of processed requests when a function is asynchronously invoked. The sum is calculated every minute or every hour. |
Latency of asynchronous messages | FunctionAsyncMessageLatencyAvg | Milliseconds | The maximum interval of time between when asynchronous requests are enqueued and when they are processed. The average value is calculated every minute or every hour. |
FunctionAsyncMessageLatencyMax | Milliseconds | The maximum interval of time between when asynchronous requests are enqueued and when they are processed. The sum is calculated every minute or every hour. |
Events triggered during asynchronous invocations | FunctionAsyncEventExpiredDropped | Count | The total number of requests that are dropped when a destination is configured for asynchronous invocations of a function. The sum is calculated every minute or every hour. |
FunctionDestinationErrors | Count | The number of requests that fail to trigger configured destination services during function executions. The sum is calculated every minute or every hour. |
FunctionDestinationSucceed | Count | The number of requests that successfully trigger the configured destination services during function executions. The sum is calculated every minute or every hour. |
Asynchronous requests backlogs | FunctionAsyncMessagesBacklog | Count | The total number of pending requests in the queue when the function is asynchronously invoked. The sum is calculated every minute or every hour. |
FunctionAsyncMessagesInProcess | Count | The approximate number of asynchronous requests that are currently being processed. |
Number of concurrent requests (instance-level metrics) | FunctionMaxConcurrentRequests | Count | The maximum number of concurrently executed requests in function instances. The maximum value is calculated every minute or every hour. |
FunctionAvgConcurrentRequests | Count | The average number of concurrently executed requests in function instances. The average value is calculated every minute or every hour. |
vCPU usage (instance-level metrics) | FunctionvCPUQuotaCores | vCPU | The vCPU quota of a function. |
FunctionMaxvCPUCores | vCPU | The actual maximum number of vCPUs used by functions. 1 indicates 1vCPU. The maximum value is collected every minute or every hour. |
FunctionAvgvCPUCores | vCPU | The actual average number of vCPUs used by functions. 1 indicates 1vCPU. The maximum value is collected every minute or every hour. |
vCPU utilization (instance-level metrics) | FunctionMaxvCPUUtilization | % | The average ratio of the actually used vCPUs to the vCPU quota. The maximum value is collected every minute or every hour. |
FunctionAvgvCPUUtilization | % | The average ratio of the actually used vCPUs to the vCPU quota. The average value is collected every minute or every hour. |
Network traffic (instance-level metrics) | FunctionRXBytesPerSec | Mbit/s | The inbound traffic of a function in a unit of time. |
FunctionTXBytesPerSec | Mbit/s | The outbound traffic of a function in a unit of time. |
Memory usage (instance-level metrics) | FunctionMemoryLimitMB | MB | The maximum amount of memory that can be used by a function. Note If a function actually consumes more memory than the quota, an OOM error is reported. |
FunctionMaxMemoryUsageMB | MB | The maximum memory capacity that is actually used by function instances. The maximum value is calculated every minute or every hour. |
FunctionAvgMemoryUsageMB | MB | The average amount of memory that is actually consumed by function instances. The average value is calculated every minute or every hour. |
Memory usage (instance-level metrics) | FunctionMaxMemoryUtilization | % | The average ratio of the amount of memory that is actually consumed by function instances to the memory quota. The maximum value is collected every minute or every hour. |
Average Usage FunctionAvgMemoryUtilization | % | The average ratio of the amount of memory that is actually consumed by function instances to the memory quota. The average value is collected every minute or every hour. |
GPU memory usage (instance-level metrics) | FunctionGPUMemoryLimitMB | MB | The GPU memory quota. |
FunctionGPUMaxMemoryUsage | MB | The amount of used GPU memory. |
GPU memory usage (instance-level metrics) | FunctionGPUMemoryUsagePercent | % | The GPU memory utilization. |
GPU streaming multiprocessors (SM) utilization (instance-level metrics) | FunctionGPUSMPercent | % | The SM utilization. |
GPU hardware encoder utilization (instance-level metrics) | FunctionGPUEncoderPercent | % | The hardware encoder utilization. |
GPU hardware decoder utilization (instance-level metrics) | FunctionGPUDecoderPercent | % | The hardware decoder utilization. |
Elastic Compute Service (ECS)
Lingma
