CPO200: Google Cloud Platform for Systems Operations Professionals

This class is intended for:

• Systems Operations professionals and Systems Administrators using Google Cloud Platform to create or migrate application environments and infrastructure
• IT professionals interested in taking the Google Cloud Platform SysOps Professional certification exam

At the end of this one-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 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

Before attending this course, participants should have:

• Attend CP100A – Google Cloud Platform Fundamentals (or equivalent experience)
• Basic proficiency with command-line tools and linux operating system environments
• Prior systems operations experience, either on-premises or using a public cloud
• A laptop to run the labs. Laptops may be Mac OS, Windows or Linux

English, Romanian

Instructor-led, Instructor-led online

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

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

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

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

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

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 Cloud Storage for Backups

• 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

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

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

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

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

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

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