Skip to content

Tencent Cloud CVM

Use the "Cloud Sync" series of script packages in the script market to synchronize cloud monitoring and cloud asset data to TrueWatch

Configuration

Install Func

It is recommended to activate the TrueWatch Integration - Extensions - DataFlux Func (Automata): All preconditions are automatically installed, please proceed with the script installation.

If you deploy Func yourself, refer to Self-deploying Func

Install Script

Note: Please prepare the Tencent Cloud AK that meets the requirements in advance (for simplicity, you can directly grant the global read-only permission ReadOnlyAccess)

  1. Log in to the Func console, click 【Script Market】, enter the TrueWatch script market, and search for: integration_tencentcloud_cvm

  2. Click 【Install】, then enter the corresponding parameters: Tencent Cloud AK ID, AK Secret, and account name.

  3. Click 【Deploy Startup Script】, the system will automatically create the Startup script set and configure the corresponding startup script.

  4. After enabling, you can see the corresponding automatic trigger configuration in 「Management / Automatic Trigger Configuration」. Click 【Execute】 to execute it immediately without waiting for the scheduled time. After a while, you can check the execution task records and corresponding logs.

Verification

  1. Confirm in 「Management / Automatic Trigger Configuration」 whether the corresponding task has the corresponding automatic trigger configuration, and you can also check the corresponding task records and logs to see if there are any exceptions.
  2. In TrueWatch, check in 「Infrastructure / Custom」 whether the asset information exists.
  3. In TrueWatch, check in 「Metrics」 whether there is corresponding monitoring data.

Metrics

After configuring Tencent Cloud - Cloud Monitoring, the default Measurement is as follows. You can collect more metrics through configuration. Tencent Cloud Monitoring Metrics Details

CPU Monitoring

Metric Name Metric Chinese Name Description Unit Dimensions Statistical Granularity
CpuUsage CPU Utilization The percentage of CPU occupied in real-time during machine operation % InstanceId 10s、60s、300s、3600s、86400s
CpuLoadavg CPU One-Minute Average Load The average number of tasks using and waiting to use CPU in 1 minute (Windows machines do not have this metric) - InstanceId 10s、60s、300s、3600s、86400s
Cpuloadavg5m CPU Five-Minute Average Load The average number of tasks using and waiting to use CPU in 5 minutes (Windows machines do not have this metric) - InstanceId 60s、300s、3600s
Cpuloadavg15m CPU Fifteen-Minute Average Load The average number of tasks using and waiting to use CPU in 15 minutes (Windows machines do not have this metric) - InstanceId 60s、300s、3600s
BaseCpuUsage Base CPU Utilization Base CPU utilization is collected and reported by the host machine, and data can be viewed without installing monitoring components. Sub-machines can still continuously collect and report data under high load conditions. % InstanceId 10s、60s、300s、3600s、86400s

GPU Monitoring

Metric Name Metric Chinese Name Description Unit Dimensions Statistical Granularity
GpuMemTotal GPU Total Memory GPU total memory MB InstanceId 10s、 60s、 300s、 3600s、 86400s
GpuMemUsage GPU Memory Utilization GPU memory utilization % InstanceId 10s、60s、300s、3600s、86400s
GpuMemUsed GPU Memory Usage Evaluate the load on memory usage MB InstanceId 10s、 60s、 300s、 3600s、 86400s
GpuPowDraw GPU Power Usage GPU power usage W InstanceId 10s、 60s、 300s、 3600s、 86400s
GpuPowLimit GPU Total Power GPU total power W InstanceId 10s、 60s、 300s、 3600s、 86400s
GpuPowUsage GPU Power Utilization GPU power utilization % InstanceId 10s、 60s、 300s、 3600s、 86400s
GpuTemp GPU Temperature Evaluate GPU heat dissipation status °C InstanceId 10s、 60s、 300s、 3600s、 86400s
GpuUtil GPU Utilization Evaluate the computing power consumed by the load, the percentage of non-idle state % InstanceId 10s、 60s、 300s、 3600s、 86400s

Network Monitoring

Metric Name Metric Chinese Name Description Unit Dimensions Statistical Granularity
LanOuttraffic Internal Network Outbound Bandwidth The average outbound traffic per second of the internal network card Mbps InstanceId 10s、60s、300s、3600s、86400s
LanIntraffic Internal Network Inbound Bandwidth The average inbound traffic per second of the internal network card Mbps InstanceId 10s、60s、300s、3600s、86400s
LanOutpkg Internal Network Outbound Packet Rate The average outbound packet rate per second of the internal network card Packets/sec InstanceId 10s、60s、300s、3600s、86400s
LanInpkg Internal Network Inbound Packet Rate The average inbound packet rate per second of the internal network card Packets/sec InstanceId 10s、60s、300s、3600s、86400s
WanOuttraffic External Network Outbound Bandwidth The average outbound traffic rate per second of the external network, the minimum granularity data is the total outbound traffic in 10 seconds divided by 10 seconds. This data is the sum of the outbound/inbound bandwidth of EIP+CLB+CVM Mbps InstanceId 10s、60s、300s、3600s、86400s
WanIntraffic External Network Inbound Bandwidth The average inbound traffic rate per second of the external network, the minimum granularity data is the total inbound traffic in 10 seconds divided by 10 seconds. This data is the sum of the outbound/inbound bandwidth of EIP+CLB+CVM Mbps InstanceId 10s、60s、300s、3600s、86400s
WanOutpkg External Network Outbound Packet Rate The average outbound packet rate per second of the external network card Packets/sec InstanceId 10s、60s、300s、3600s、86400s
WanInpkg External Network Inbound Packet Rate The average inbound packet rate per second of the external network card Packets/sec InstanceId 10s、60s、300s、3600s、86400s
AccOuttraffic External Network Outbound Traffic The average outbound traffic per second of the external network card MB InstanceId 10s、60s、300s、3600s、86400s
TcpCurrEstab TCP Connection Count The number of TCP connections in the ESTABLISHED state Count InstanceId 10s、60s、300s、3600s、86400s
TimeOffset UTC Time and NTP Time Difference of the Sub-machine The difference between the UTC time and NTP time of the sub-machine Seconds InstanceId 60s、300s、3600s、86400s

Memory Monitoring

Metric Name Metric Chinese Name Description Unit Dimensions Statistical Granularity
MemUsed Memory Usage The amount of memory actually used by the user, excluding the memory occupied by buffers and system caches. Total memory - Available memory (including buffers and cached) to get the memory usage value, excluding buffers and cached MB InstanceId 10s、60s、300s、3600s、86400s
MemUsage Memory Utilization The actual memory utilization by the user, excluding the memory occupied by buffers and system caches. Excluding cache, buffer, and remaining, the ratio of memory actually used by the user to the total memory % InstanceId 10s、60s、300s、3600s、86400s

Disk Monitoring

Metric Name Metric Chinese Name Description Unit Dimensions Statistical Granularity
CvmDiskUsage Disk Utilization The percentage of disk used capacity to total capacity (all disks) % InstanceId 60s、300s

RDMA Monitoring

Metric Name Metric Chinese Name Metric Description (Optional) Unit Dimensions Statistical Granularity
RdmaIntraffic RDMA Network Card Receive Bandwidth RDMA network card receive bandwidth Mbps InstanceId 60s、 300s、 3600s、 86400s
RdmaOuttraffic RDMA Network Card Send Bandwidth RDMA network card send bandwidth Mbps InstanceId 60s、 300s、 3600s、 86400s
RdmaInpkt RDMA Network Card Inbound Packet Rate RDMA network card inbound packet rate Packets/sec InstanceId 60s、 300s、 3600s、 86400s
RdmaOutpkt RDMA Network Card Outbound Packet Rate RDMA network card outbound packet rate Packets/sec InstanceId 60s、 300s、 3600s、 86400s
CnpCount CNP Statistics Congestion Notification Packet Statistics Packets/sec InstanceId 60s、 300s、 3600s、 86400s
EcnCount ECN Statistics Explicit Congestion Notification Statistics Packets/sec InstanceId 60s、 300s、 3600s、 86400s
RdmaPktDiscard End-to-End Packet Loss End-to-end packet loss Packets/sec InstanceId 60s、 300s、 3600s、 86400s
RdmaOutOfSequence Receiver Out-of-Order Error Rate Receiver out-of-order error rate Packets/sec InstanceId 60s、 300s、 3600s、 86400s
RdmaTimeoutCount Sender Timeout Error Rate Sender timeout error rate Packets/sec InstanceId 60s、 300s、 3600s、 86400s
TxPfcCount TX PFC Statistics TX PFC Statistics Packets/sec InstanceId 60s、 300s、 3600s、 86400s
RxPfcCount RX PFC Statistics RX PFC Statistics Packets/sec InstanceId 60s、 300s、 3600s、 86400s

Objects

The collected Tencent Cloud CVM object data structure can be viewed in 「Infrastructure - Custom」.

{
  "measurement": "tencentcloud_cvm",
  "tags": {
    "name"              : "ins-bahxxxx",
    "RegionId"          : "ap-shanghai",
    "Zone"              : "ap-shanghai-1",
    "InstanceId"        : "ins-bahxxxx",
    "InstanceChargeType": "POSTPAID_BY_HOUR",
    "InstanceType"      : "SA2.MEDIUM2",
    "OsName"            : "TencentOS Server 3.1 (TK4)"
  },
  "fields": {
    "CPU"               : 2,
    "Memory"            : 2,
    "InstanceState"     : "RUNNING",
    "PublicIpAddresses" : "{Public IP Data}",
    "PrivateIpAddresses": "{Private IP Data}",
    "SystemDisk"        : "{System Disk JSON Data}",
    "DataDisks"         : "{Data Disk JSON Data}",
    "Placement"         : "{Region JSON Data}",
    "ExpiredTime"       : "2022-05-07T01:51:38Z",
    "message"           : "{Instance JSON Data}"
  }
}