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Google Cloud's Operations Suite on GKE

Fundamental 6단계 7시간 크레딧 36개

In this fundamental-level quest, you will learn the ins and outs of Google Cloud's operations suite running on Google Kubernetes Engine, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. The labs in this quest will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials Quest. Additional lab experience with the labs in the Baseline - Infrastructure Quest will also be useful.

Infrastructure Application Development

Quest Outline

실습

Monitoring GKE with Prometheus and Cloud Monitoring

In this lab you'll try out some of the unique features that enable you to monitor and troubleshoot your Kubernetes applications with Kubernetes Engine Monitoring, which integrates metrics, logs, events, and metadata.

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실습

Cloud Logging on Kubernetes Engine

In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.

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Cloud Operations for GKE

In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster

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Using Cloud Trace on Kubernetes Engine

This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Cloud Trace Console.

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Cloud Monitoring APM으로 사이트 안정성 문제 해결하기

이 실습의 목표는 GKE 클러스터 인프라, Istio, 이 인프라에 배포되는 애플리케이션 등을 모니터링할 수 있도록 Cloud Monitoring의 구체적인 기능을 익히는 것입니다.

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Debugging Apps on Google Kubernetes Engine

This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.

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