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        • Dumping Data to Another Account - Cloud Eye

          Dumping Data to Another Account - Cloud Eye

          Example value: Elastic Cloud Server Dimension Dimension of the monitored object. For details, see Metrics and Dimension on the monitoring metric description page. If All is selected, all metrics of the selected service will be dumped to DMS for Kafka.

          Help > Cloud Eye > User Guide > Data Dump
        • Error Codes - Cloud Eye

          Error Codes - Cloud Eye

          For example, an ECS (SYS.ECS) supports cpu_util. Metric A metric consists of the namespace, dimension (optional), and metric name. A metric name solely does not identify any object.

          Help > Cloud Eye > API Reference > Common Parameters
        • Exporting Monitoring Data from Cloud Eye to Self-built Prometheus - Cloud Eye

          Exporting Monitoring Data from Cloud Eye to Self-built Prometheus - Cloud Eye

          Figure 5 Loading a JSON template To obtain the template files of different cloud services, visit the following websites: CSS Direct Connect DCS ECS ELB RDS WAF WAF-dedicated WAF instances Elastic IP and bandwidth CFW DMS-Kafka DMS-RocketMQ DMS-RabbitMQ GeminiDB-Cassandra AAD CDN EVS

          Help > Cloud Eye > User Guide > Access Center > Connecting to Prometheus or Grafana
        • Modifying All Fields in an Alarm Policy - Cloud Eye

          Modifying All Fields in an Alarm Policy - Cloud Eye

          For example, cpu_util of an ECS indicates the CPU usage of the ECS. mongo001_command_ps in DDS indicates the command execution frequency.

          Help > Cloud Eye > API Reference > API V2 > Alarm Policies
        • Querying Details of an Event - Cloud Eye

          Querying Details of an Event - Cloud Eye

          For example, the ECS dimension is instance_id. For details about the dimension of each service, see the key column in Services Interconnected with Cloud Eye. value String No Specifies the dimension value, for example, an ECS ID. Enter 1 to 256 characters.

          Help > Cloud Eye > API Reference > API V1 > Event Monitoring
        • What Should I Do If the Monitoring Is Periodically Interrupted or the Agent Status Keeps Changing? - Cloud Eye

          What Should I Do If the Monitoring Is Periodically Interrupted or the Agent Status Keeps Changing? - Cloud Eye

          Procedure Use the root account to log in to the ECS or BMS for which the Agent does not report data. Optional: Go to the Agent installation path. For Windows, the path is C:\Program Files\uniagent\extension\install\telescope\bin.

          Help > Cloud Eye > FAQs > Troubleshooting > Server Monitoring
        • Creating a Masking Rule - Cloud Eye

          Creating a Masking Rule - Cloud Eye

          Take ECS as an example. ECSs is the cloud product. Specific dimensions are disks, mount points, processes, and more. If Cloud product is selected, metrics across sub-dimensions are supported.

          Help > Cloud Eye > User Guide > Alarm Management > Alarm Masking
        • One-Click Monitoring - Cloud Eye

          One-Click Monitoring - Cloud Eye

          √ √ Cloud Data Migration √ × Content Delivery Network √ × Cloud Firewall √ × Cloud Phone √ × Cloud Storage Gateway √ √ Distributed Cache Service √ √ Document Database Service √ √ Data Lake Insight √ × Distributed Message Service √ × Data Replication Service √ × GaussDB(DWS) √ × Elastic

          Help > Cloud Eye > User Guide > Alarm Management
        • Batch Adding Resources to a Resource Group - Cloud Eye

          Batch Adding Resources to a Resource Group - Cloud Eye

          For example, the dimension of an ECS can be instance_id. A maximum of four dimensions are supported. For the metric dimension of each resource, see Services Interconnected with Cloud Eye.

          Help > Cloud Eye > API Reference > API V2 > Resources in a Resource Group
        • Batch Deleting Resources from a Resource Group - Cloud Eye

          Batch Deleting Resources from a Resource Group - Cloud Eye

          For example, the dimension of an ECS can be instance_id. A maximum of four dimensions are supported. For the metric dimension of each resource, see Services Interconnected with Cloud Eye.

          Help > Cloud Eye > API Reference > API V2 > Resources in a Resource Group
        • Querying Resources for Which Alarm Notifications Have Been Masked - Cloud Eye

          Querying Resources for Which Alarm Notifications Have Been Masked - Cloud Eye

          For example, the dimension of an ECS can be instance_id. A maximum of four dimensions are supported. For the metric dimension of each resource, see Services Interconnected with Cloud Eye.

          Help > Cloud Eye > API Reference > API V2 > Alarm Notification Masking
        • Modifying an Alarm Notification Masking Rule - Cloud Eye

          Modifying an Alarm Notification Masking Rule - Cloud Eye

          For example, the dimension of an ECS can be instance_id. A maximum of four dimensions are supported. For the metric dimension of each resource, see Services Interconnected with Cloud Eye.

          Help > Cloud Eye > API Reference > API V2 > Alarm Notification Masking
        • Querying Alarm Rules (Recommended) - Cloud Eye

          Querying Alarm Rules (Recommended) - Cloud Eye

          For example, cpu_util of an ECS indicates the CPU usage of the ECS. mongo001_command_ps in DDS indicates the command execution frequency.

          Help > Cloud Eye > API Reference > API V2 > Alarm Rules
        • Creating Alarm Notification Masking Rules in Batches - Cloud Eye

          Creating Alarm Notification Masking Rules in Batches - Cloud Eye

          For example, the dimension of an ECS can be instance_id. A maximum of four dimensions are supported. For the metric dimension of each resource, see Services Interconnected with Cloud Eye.

          Help > Cloud Eye > API Reference > API V2 > Alarm Notification Masking
        • Querying Resources of a Specified Dimension and a Specified Service Type in a Resource Group - Cloud Eye

          Querying Resources of a Specified Dimension and a Specified Service Type in a Resource Group - Cloud Eye

          For example, the dimension of an ECS can be instance_id. A maximum of four dimensions are supported. For the metric dimension of each resource, see Services Interconnected with Cloud Eye.

          Help > Cloud Eye > API Reference > API V2 > Resources in a Resource Group
        • Alarm Policies - Cloud Eye

          Alarm Policies - Cloud Eye

          If the CPU usage of an ECS is greater than 80% for two consecutive times, an alarm is generated every 5 minutes.

          Help > Cloud Eye > User Guide > Alarm Management > Alarm Rules
        • Query Resource Groups - Cloud Eye

          Query Resource Groups - Cloud Eye

          For example, if ECS, EIP and bandwidth are added to the resource group, the type_statistics value is 2. Table 5 meta_data data structure description Parameter Type Mandatory Description total Integer No Specifies the total number of query results.

          Help > Cloud Eye > API Reference > API V1 > Resource Groups
        • Querying Alarm Policies - Cloud Eye

          Querying Alarm Policies - Cloud Eye

          For example, cpu_util of an ECS indicates the CPU usage of the ECS. mongo001_command_ps in DDS indicates the command execution frequency.

          Help > Cloud Eye > API Reference > API V2 > Alarm Policies
        • Modifying an Alarm Rule - Cloud Eye

          Modifying an Alarm Rule - Cloud Eye

          For example, you can set ECS cpu_util to 80. unit No String Specifies the data unit. Enter up to 32 characters. count Yes Integer Specifies the number of consecutive occurrence times that the alarm policy was met.

          Help > Cloud Eye > API Reference > API V1 > Alarm Rules
        • Installing the Direct Connect Metric Collection Plug-ins - Cloud Eye

          Installing the Direct Connect Metric Collection Plug-ins - Cloud Eye

          Log in to an ECS as user root.

          Help > Cloud Eye > User Guide > Cloud Resource Monitoring > Server Monitoring > Cloud Eye Plug-in (Agent) > Installing Other Monitoring Plug-ins
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