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Google Cloud Solutions I: Scaling Your Infrastructure

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Google Cloud Solutions I: Scaling Your Infrastructure

8시간 Expert universal_currency_alt 크레딧 53개
In this advanced-level quest, you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.

이 강의 내의 모든 활동을 완료하면 배지를 획득하게 됩니다. Qwiklabs 여기저기에서 퀘스트, 게임, 강의를 완료하여 배지를 획득하세요. 모든 배지를 획득하여 새로 습득한 기술을 자랑해 보세요.

  • 실습

    Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

    This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric

  • 실습

    Setting up Jenkins on Kubernetes Engine

    This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

  • 실습

    Spinnaker 및 Kubernetes Engine을 사용한 지속적 배포 파이프라인

    Kubernetes Engine 클러스터를 만들고, 애플리케이션을 배포하며, Spinnaker를 사용하여 애플리케이션에 변경사항이 생기면 지속적으로 배포합니다.

  • 실습

    Deploying a Fault-Tolerant Microsoft Active Directory Environment

    In this Qwiklab, you set up a redundant pair of Windows Domain Controllers (DC) with AD using a new Virtual Private Cloud (VPC) network and multiple subnets on Google Cloud Platform (GCP).

  • 실습

    Deploying Memcached on Kubernetes Engine

    In this lab you'll learn how to deploy a cluster of distributed Memcached servers on Kubernetes Engine using Kubernetes, Helm, and Mcrouter.

  • 실습

    Running Dedicated Game Servers in Google Kubernetes Engine

    This lab will show you how to use an expandable architecture for running a real-time, session-based multiplayer dedicated game server using Kubernetes on Google Container Engine.

  • 실습

    Distributed Load Testing Using Kubernetes

    Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

  • info
    Quest Info
    Prerequisites
    This Quest expects solid hands-on proficiency with Google Cloud workflows and processes, especially those involving multiple services working together. It is recommended that the student have at least earned a badge by completing the hands-on labs in the Kubernetes Solutions and Networking in the Google Cloud Quests before beginning. Additional experience with the labs in the Cloud Architecture Quest will also be useful.