tags: 阿瑜

Day 13: Monitor and Log with Google Cloud Operations Suite: Challenge Lab

Tasks:

1. Initialize Cloud Monitoring.
   Navigation menu > Monitoring
   PS: 這步造理說滿簡單的，但第一次第二次做時，Not work!
   後來隔一段時間再做沒有特別更動操作就可以了，估計是平台(Qwiklabs)的Checkpoints問題
2. Configure a Compute Instance to generate Custom Cloud Monitoring metrics
   Navigation Menu > Compute Engine > VM Instances
   • 點選video-queue-monitor的 instance
   • 點選Edit
   • 找到Custom metadata
     設定MY_PROJECT_ID
     設定INSTANCE-ID(往上滑頁面有INSTANCE-ID可複製)
     設定MY_GCE_INSTANCE_ZONE="us-east1-b"
     PS: 不確定Zone設別的有沒有差
   • Save
   • Stop and Start video-queue-monitor
     PS: 可以Check 右上提醒紀錄點開看狀態切換
3. Create a custom metric using Cloud Operations logging events
   Navigation menu > Logging > Logs Explorer
   • 在Query Section 填寫
     ​​​​​​​​textPayload=~"file_format\: ([4,8]K).*"
     

   接著Run Query
   • 右下有 Action,點Action再下拉點Create Metric
   • custom metric的name設定為large_video_upload_rate

4: Add custom metrics to the Media Dashboard in Cloud Operations Monitoring
Navigation menu > Monitoring > Dashboards

• click Media_Dashboard
• 點右上VIEWING，接著點Switch to Editing mode
• 中間偏右點選 ADD CHART > click Line
• 左半邊設定 resources, metrics
  1)
  - resource type: gce_instance
  - metric: input_queue_size
  2)
  - resource type: gce_instance
  - metric: large_video_upload_rate

5: Create a Cloud Operations alert based on the rate of high resolution video file uploads
Navigation menu > Monitoring > Alerting

• CREATE POLICY
• ADD CONDITION
  • resource type: gae_instance
  • metric: large_video_upload_rate
  • condition: (跟Reference不同)
    is above 3(Threshold) 1(minute)
  • ADD > Next > Next
  • Alert Name: High resolution video uploads
  • Save

Get one Badget

Reference:

GSP338 —— Monitor and Log with Google Cloud Operations Suite