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CPO200: Google Cloud Platform for Systems Operations Professionals Training Course

Nobleprog Limited

Course

Online

£ 4,650 VAT inc.

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Description

  • Type

    Course

  • Methodology

    Online

This 4 day instructor-led class introduces participants to the implementation of application environments and public cloud infrastructure using Google Cloud Platform. Through a combination of instructor-led presentations and hands-on labs, students learn how to deploy cloud infrastructure components such as networks, systems, and applications. This course is designed to give participants a robust hands-on experience and is primarily lab-focused.
This class is intended for Systems Operations professionals and Systems Administrators using Google Cloud Platform to create or migrate application environments and infrastructure.
At the end of this four-day course, participants will be able to:
Understand the core tenants to be considered when designing & deploying to a cloud
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...

About this course

Before attending this course, participants should have:
Attended CP100A ­ Google Cloud Platform Fundamentals (or equivalent experience)
Basic proficiency with command­line tools and linux operating system environments
Prior systems operations experience, either on­premises or in a public cloud environment
Note: This course is currently only available in English and requires a minumum of 3 delegates

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Subjects

  • Accounts
  • Access
  • Networks
  • SQL
  • Network
  • Firewall
  • Image
  • Web
  • Project
  • Systems
  • IP
  • Install
  • Network Training

Course programme

Module 1: Google Cloud Platform Projects
  • Identify project resources and quotas
  • Explain the purpose of Google Cloud Resource Manager and Identity and Access Management
Lab: Google Cloud Platform Projects
  • Use the Google Developers Console to create and manage multiple projects
  • Use service accounts and permissions to share view-level access between projects
Module 2:Instances
  • Explain how to create and move instances
  • Identify how to connect to and manage instances
Lab: Google Compute Engine Instances and Machine Types
  • Create an instance using the Google Developers Console
  • Configure the Cloud SDK on the Compute Engine instance
  • Initialize Cloud Source Repositories using Git
Module 3: Networks
  • Explain how to create and manage networks in projects
  • Identify how to create and manage firewall rules, routes, and IP addresses
Lab: Google Compute Engine Networks
  • 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
Module 4: Disks and Images
  • Explain how to create and manage persistent disks
  • Identify how to create and manage disk images
Lab: Google Compute Engine Disks and 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
Module 5: Authorization
  • Explain the purposes of and use cases for Google Compute Engine service accounts
  • Identify the types of service account scopes
Lab: Google Compute Engine Authorization
  • 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
Module 6: Snapshots
  • Identify the purpose of and use cases for disk snapshots
  • Explain the process of creating a snapshot
Lab: Google Compute Engine Snapshots
  • 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
Module 7: Google Cloud Storage
  • Explain the purpose of and use cases for Google Cloud Storage
  • Identify methods for accessing Google Cloud Storage buckets and objects
  • Explain the security options available for Google Cloud Storage buckets and objects
Lab: Google Cloud Storage for Backups
  • 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
Lab: Google Container Registry
  • 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
Module 8: Instance Groups
  • Identify the purpose of and use cases for instance groups
  • Explain the process of creating and using instance groups
Lab: Google Compute Engine 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
Module 9: Google Cloud SQL
  • Understand how to create and administer Cloud SQL instances
  • Explain how to access Cloud SQL instances from Compute Engine instances
Lab: Google Cloud SQL
  • 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
Module 10: Metadata
  • Explain the purpose of metadata and identify the use cases for project and instance metadata
  • Identify how to set and query metadata
Lab: Google Compute Engine Metadata
  • Add instance and project metadata
  • Query instance and project metadata using the Cloud SDK
  • Query metadata from inside a Compute Engine instance
Module 11: Startup and Shutdown Scripts
  • Identify the purpose of and use cases for startup and shutdown scripts
Lab: Google Compute Engine Startup 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
Lab: Google API Client Library
  • 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
Module 12: Autoscaling
  • Explain the use cases for autoscaling and how autoscaling functions
  • Identify the purpose of autoscaling policies
Lab: Google Compute Engine Autoscaler
  • 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
Module 13: Load Balancing
  • Explain the differences between network load balancing and HTTP load balancing
  • Identify the purpose of and use cases for cross-region and content-based load balancing
Lab: HTTP/HTTPS Load Balancing
  • Create multiple autoscaled managed instance groups
  • Configure fault-tolerant HTTP load balancing
  • Test health checks for use with HTTP load balancing
Lab: Google Cloud Deployment Manager
  • Create a Guestbook deployment using a plain YAML format
  • Manage a Guestbook deployment using a Jinja template
  • Create a Guestbook deployment using Python templates
Lab: Deleting Cloud Platform Projects and Resources
  • Delete Google Cloud Platform resources
  • Test dependencies between resources
  • Delete Google Cloud Platform projects

Additional information

32 hours (usually 4 days including breaks)

See related categories

CPO200: Google Cloud Platform for Systems Operations Professionals Training Course

£ 4,650 VAT inc.

The best Other Internet courses

See all

See all