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Google System Operations

The course is designed based on  Google Cloud Subject Matter Expert to help organization user to perform system operation in Google Cloud

      • 4 days of instructor-led training
      • Includes 1 Day of  Google Cloud technical Essentials course bundled in this
      • Training delivered by Google Cloud Certified – Professional Cloud Architect
      • Trainer is also a consultant helping clients to migrate to Google cloud
      • Prepares for you to deploy and manage resources in Google Cloud

  • Understand the core concepts of Google Cloud
  • Perform System operation in Google cloud
  • Rich hands-on labs to understand concepts better
  • Understand and create VPC
  • Deploy and operate on Google cloud  storage, Database, compute services

This is not a certification program and is aimed at helping you acquire skills required to perform system operation in Google cloud

  • Systems administrators and IT managers
  • IT administrators and operators
  • IT Systems Engineer
  • Linux/Unix Implementation Engineer or Administrator
  • Windows Server Implementation Engineer or Administrator
  • Cloud Systems Implementation Engineer or Administrator
  • Network Implementation Engineer or Administrator
  • Storage Implementation Engineer or Administrator

Google Technical Essentials

User Sign up?

  • User Sign Up
  • Overview Google Compute Engine Console
  • Management Activity and Billing overview
  • Google Compute Engine Pricing

Google Compute Platform (GCP)– 10000 feet overview?

  • An overview of GCE
  • GCE-VM’s- An overview
  • GCE VM storage- An Overview
  • App Engine – An overview
  • GCP – Container Engine-An Overview
  • GCP – Container Registry- An overview
  • GCP – Cloud Storage – An overview
  • GCP – Cloud DataStore
  • GCP – Cloud SQL
  • GCP – Networking ,Load Balancing
  • GCP – Cloud DNS
  • GCP – Cloud Dataproc ( BigData service)
  • GCP – Cloud IAM

Module 1: Google Cloud Platform Projects

Learning Objectives

  • Identify project resources and quotas
  • Explain the purpose of Google Cloud Resource Manager and Identity and Access Management

Lab: Google Cloud Platform Projects

Learning Objectives

  • 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

Learning Objectives

  • Explain how to create and move instances
  • Identify how to connect to and manage instances

Lab: Google Compute Engine Instances and Machine Types

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • Explain how to create and manage persistent disks
  • Identify how to create and manage disk images

Lab: Google Compute Engine Disks and Images

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • Identify the purpose of and use cases for disk snapshots
  • Explain the process of creating a snapshot

Lab: Google Compute Engine Snapshots

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • Understand how to create and administer Cloud SQL instances
  • Explain how to access Cloud SQL instances from Compute Engine instances

Lab: Google Cloud SQL

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • Identify the purpose of and use cases for startup and shutdown scripts

Lab: Google Compute Engine Startup Scripts

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • Explain the use cases for autoscaling and how autoscaling functions
  • Identify the purpose of autoscaling policies

Lab: Google Compute Engine Autoscaler

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • 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

Learning Objectives

  • Delete Google Cloud Platform resources
  • Test dependencies between resources
  • Delete Google Cloud Platform projects

  • Gives an edge over other professionals in the same field, in term of pay package.
  • All roads are leading to Cloud, and everyone is adopting Cloud computing .Hence would require Cloud Engineers to drive their journey to cloud
  • Helpful for People are trying to transition to  Cloud Engineer roles
  • Verifies that you are aware of the latest features of Cloud

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