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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