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The server has received the request and understood it, but the server refuses to respond to it.
/services/aom/v1/model" region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/aom/v1/region" ) func main() { // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks.
The server has received the request and understood it, but the server refuses to respond to it.
Status Codes Status Code Description 200 OK: The task status has changed. 401 Unauthorized: The authentication information is incorrect or invalid. 500 Internal Server Error: The server is able to receive the request but unable to understand the request.
The server has received the request and understood it, but the server refuses to respond to it.
The server has received the request and understood it, but the server refuses to respond to it.
", "http_code" : 401 } Status code: 500 Internal Server Error: The server is able to receive the request but unable to understand the request. { "error_code" : "AOM.31001305", "error_msg" : "workflow internal server error.
Using AOM to Monitor Hosts Hosts include the Elastic Cloud Server (ECS) and Bare Metal Server (BMS). AOM can monitor the hosts purchased during CCE and ServiceStage cluster creation as well as those purchased in non-CCE and -ServiceStage environments.
(Optional) Modify the C:\uniagentd\conf\uniagentd.conf file and enter the following configuration (this step is required only when you need to install UniAgent 1.1.3 or earlier): master=https://xxxxxx.xxxxxxxxxxx,https://xx.xx.xx.xx:xxxxx project_id=xxxxxxxxxxxxxx public_net=xxxx
(Optional) Modify the C:\uniagentd\conf\uniagentd.conf file and enter the following configuration (this step is required only when you need to install UniAgent 1.1.3 or earlier): master=https://xxxxxx.xxxxxxxxxxx,https://xx.xx.xx.xx:xxxxx project_id=xxxxxxxxxxxxxx public_net=xxxx
Status Codes Status Code Description 200 OK: The execution history of the specified task is returned. 401 Unauthorized: The authentication information is incorrect or invalid. 500 Internal Server Error: The server is able to receive the request but unable to understand the request
", "http_code" : 401 } Status code: 500 Internal Server Error: The server is able to receive the request but unable to understand the request. { "error_code" : "AOM.31002005", "error_msg" : "script internal server error.
Table 4 execution_result_list Parameter Type Description node_id String Flow node ID. begin_time Long Start time of node execution. end_time Long End time of node execution. function_execution_id String FunctionGraph execution ID. output Object Node output. status String Node status
The client should not repeat the request without modifications. 500 Internal Server Error: The server is able to receive the request but unable to understand the request. Error Codes See Error Codes. Parent topic: Automation (Offline Soon)
Usage Description CMDB manages the relationships between cloud service resources (such as Elastic Cloud Server (ECS), Relational Database Service (RDS), and Elastic Load Balance (ELB)) and applications.
Table 6 Node Parameter Type Description parent_node String Name of the parent node. category String Node type. description String Node description. id String Node ID. ignore_error Boolean Whether to ignore the error. metadata Metadata object Metadata. name String Node name, for example
Table 7 Node Parameter Type Description parent_node String Name of the parent node. category String Node type. description String Node description. id String Node ID. ignore_error Boolean Whether to ignore the error. metadata Metadata object Metadata. name String Node name, for example
Table 6 Node Parameter Type Description parent_node String Name of the parent node. category String Node type. description String Node description. id String Node ID. ignore_error Boolean Whether to ignore the error. metadata Metadata object Metadata. name String Node name, for example
The server has received the request and understood it, but the server refuses to respond to it.
If the sampling period of each node is 15s, the total number of reported sampling point data records within 1 minute can be calculated as follows: 3 x (60/15) = 12.
