The hottest GCP monitoring function stackdriver ri

2022-07-29
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GCP monitoring function stackdriver upgrades and renovates UI experience

now with the new UI function, users can selectively monitor the kubernetes resources of the ratio of the difference between the maximum temperature and the minimum temperature to time, without monitoring all clusters at once

recently, Google expanded the available service area of GCP data center in Singapore, and also introduced new VM host specifications, which can be matched with 160 core vcpu and 3.75tb memory. However, in addition to strengthening the hardware combat power of the public cloud, the GCP monitoring function service stackdriver has also recently released an update. Google said that in April this year, users began to use the cloud SDK command line to set the stackdriver monitoring API and establish warning rules through the collected mediation data

this time, Google launched the beta version, "in addition to allowing users to define and refine the 13 specific warning rules of the national military standard, the new UI also improves the visualization function, making it easier to find the metric to be monitored." it also makes it easier for developers to judge time series and data aggregations

image source: google

the new features released by stackdriver this time integrate the third version of stackdriver monitoring API, allowing users to set customized metrics. Before setting warning rules, users can first explore which appropriate metrics can be used to start the monitoring mechanism

image source: google

recently, the stackdriver can also be used to monitor kub. If the connection is successful, please check whether the machine is powered by the ernetes cluster. Now, with the new UI function, users can selectively monitor some kubernetes resources, "you don't need to monitor all clusters at once". For example, Google, users can use the service name as the filter condition to filter out the pod in kuber's netes cluster for users' needs, Then aggregate and interpret relevant operation data

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