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Google Cloud Platform for Systems Operations Professionals (CPO 200)

Learn about the implementation of application environments and public cloud infrastructure using Google Cloud Platform.

GK# 8328

Course Overview

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In this course, you will learn about the implementation of application environments and public cloud infrastructure using Google Cloud Platform. Through a combination of instructor-led presentations and hands-on labs, you will learn how to deploy cloud infrastructure components such as networks, systems, and applications. This course is designed to give you a robust hands-on experience and is primarily lab-focused.

Schedule

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  • Delivery Format:
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What You'll Learn

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  • Core tenants to be considered when designing and deploying to a public cloud environment
  • Use the Google Developers Console to create and manage multiple projects
  • Use service accounts and permissions to share view-level access between projects
  • Create Google Compute Engine instances
  • Create a non-default network and review your network configuration
  • Compare default and non-default networks
  • Create firewall-rules with and without tags
  • Create and use a customized Compute Engine image
  • Set authorization scopes for a Compute Engine instance
  • Reserve an external IP address for an instance
  • Snapshot a Compute Engine instance
  • Snapshot a data disk
  • Create an image using a boot persistent disk
  • Upload an image to Google Container Registry
  • Create a Compute Engine instance group with instances
  • Create a Cloud SQL instance using the Cloud SDK
  • Deploy and test a web application
  • Add instance and project metadata
  • Query instance and project metadata using the Cloud SDK
  • Create an instance using a startup script in metadata and Google Cloud Storage
  • Create an instance with a shutdown script and install the Cloud Logging agent
  • Use the API Explorer to query an API request
  • Run sample code that uses the Google API Client Library
  • Test and build a container that uses the Cloud SQL APIs
  • Create an instance template and managed instance group
  • Configure a managed instance group for autoscaling
  • Create multiple autoscaled managed instance groups
  • Configure fault-tolerant HTTP load balancing
  • Test health checks for use with HTTP load balancing
  • Manage application deployment using Jinja and Python templates with Google Cloud Deployment Manager
  • Delete Google Cloud Platform projects and resources

Outline

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Virtual Classroom Live Outline

1. Google Cloud Platform Projects

  • Project resources and quotas
  • Purpose of Google Cloud Resource Manager and Identity and Access Management
  • Use the Google Developers Console to create and manage multiple projects
  • Use service accounts and permissions to share view-level access between projects

2. Instances

  • How to create and move instances
  • How to connect to and manage instances
  • Create an instance using the Google Developers Console
  • Configure the Cloud SDK on the Compute Engine instance
  • Initialize Cloud Source Repositories using Git

3. Networks

  • How to create and manage networks in projects
  • How to create and manage firewall rules, routes, and IP addresses
  • Create a non-default network
  • Compare default and non-default networks
  • Create firewall-rules with and without tags
  • Review network configuration in Google Cloud Monitoring

4. Disks and Images

  • How to create and manage persistent disks
  • How to create and manage disk images
  • Create an instance and install the Java 7 JRE from OpenJDK
  • Create a customized Compute Engine image
  • Launch and test a Compute Engine instance based on your image

5. Authorization

  • Purposes of and use cases for Google Compute Engine service accounts
  • Types of service account scopes
  • Set authorization scopes for a Compute Engine instance
  • Reserve the external IP address for the new instance
  • Install and configure Jenkins on a Compute Engine instance

6. Snapshots

  • Purpose of and use cases for disk snapshots
  • Process of creating a snapshot
  • Prepare and snapshot a Compute Engine instance
  • Restore and test the snapshot to a different zone
  • Snapshot a data disk without shutting down an instance

7. Google Cloud Storage

  • Purpose of and use cases for Google Cloud Storage
  • Methods for accessing Google Cloud Storage buckets and objects
  • Security options available for Google Cloud Storage buckets and objects
  • Create and configure Nearline and DRA buckets
  • Modify the lifecycle management policy for a bucket
  • Copy data to a bucket using the Cloud SDK
  • Review, modify, and test bucket ACLs
  • Configure Jenkins to perform a backup to Cloud Storage
  • Test and verify that the backups are working
  • Create a customized Jenkins build node instance
  • Create an image using the instance's boot persistent disk
  • Create a test build node instance based on the new image
  • Test uploading images to Google Container Registry

8. Instance Groups

  • Purpose of and use cases for instance groups
  • Process of creating and using instance groups
  • Create a Compute Engine instance group with instances
  • Define Jenkins build tasks and run them
  • Run the build tasks to create a guestbook image

9. Google Cloud SQL

  • How to create and administer Cloud SQL instances
  • How to access Cloud SQL instances from Compute Engine instances
  • Create a Cloud SQL instance using the Cloud SDK
  • Create a Compute Engine instance from a custom image
  • Deploy and test the Guestbook web application

10. Metadata

  • Purpose of metadata and identify the use cases for project and instance metadata
  • How to set and query metadata
  • Add instance and project metadata
  • Query instance and project metadata using the Cloud SDK
  • Query metadata from inside a Compute Engine instance

11. Startup and Shutdown Scripts

  • Purpose of and use cases for startup and shutdown scripts
  • Create an instance with a startup script in metadata
  • Create an instance with a startup script from Cloud Storage
  • Create an instance with a shutdown script and install the Cloud Logging agent
  • Use the API Explorer to query an API request
  • Run sample code that uses the Google API Client Library
  • Test and build a container that uses the Cloud SQL APIs
  • Create a new Compute Engine image

12. Autoscaling

  • Use cases for autoscaling and how autoscaling functions
  • purpose of autoscaling policies
  • Create an instance template and managed instance group
  • Configure the managed instance group for autoscaling
  • Generate an artificial load to trigger scaling of your cluster

13. Load Balancing

  • Differences between network load balancing and HTTP load balancing
  • Purpose of and use cases for cross-region and content-based load balancing
  • Create multiple autoscaled managed instance groups
  • Configure fault-tolerant HTTP load balancing
  • Test health checks for use with HTTP load balancing
  • Create a Guestbook deployment using a plain YAML format
  • Manage a Guestbook deployment using a Jinja template
  • Create a Guestbook deployment using Python templates
  • Delete Google Cloud Platform resources
  • Test dependencies between resources
  • Delete Google Cloud Platform project

Prerequisites

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  • Have attended Google Cloud Platform Fundamentals (CP100A) (or equivalent experience)
  • Basic proficiency with command-line tools and linux operating system environments
  • Prior systems operations experience, either on-premises or in a public cloud environment

Who Should Attend

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  • Systems operations professionals and systems administrators using Google Cloud Platform to create or migrate application environments and infrastructure
Course Delivery

This course is available in the following formats:

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 4 day

Request this course in a different delivery format.
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