Google Cloud Platform Fundamentals for AWS Professionals


1 Day


Delivery Methods
Virtual Instructor Led
Private Group

Course Overview

This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately. This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.

Course Objectives

  • Identify Google Cloud counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM
  • Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
  • Manage and monitor applications
  • Explain feature and pricing model differences
  • Who Should Attend?

  • Individuals planning to deploy applications and create application environments on Google Cloud
  • Developers, systems operations professionals, and solution architects getting started with Google Cloud.
  • Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
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    Course Prerequisites

  • Have basic proficiency with networking technologies like subnets and routing
  • Have basic proficiency with command-line tools
  • Students are expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended
  • Agenda

    1 - Introducing Google Cloud

    • What is cloud computing?
    • Google Cloud Computing architectures
    • The Google network
    • Google Cloud Regions and Zones
    • Google Cloud versus AWS regions and zones
    • Open API's
    • Multi-layered security approach
    • Budgets and Billing

    2 - Getting Started with Google Cloud

    • Google Cloud resource hierarchy
    • Comparison to AWS resource hierarchy
    • Identity and Access Management (IAM)
    • IAM Roles
    • Comparison to Azure AD
    • Interacting with Google Cloud
    • Cloud Marketplace

    3 - Virtual Machines in the Cloud

    • Virtual Private Cloud (VPC) Network
    • How AWS VPC differs from Google VPC
    • Compute Engine
    • Comparing Amazon EC2 and Google Compute Engine
    • Important VPC Capabilities
    • How typical approaches to load-balancing in Google Cloud differ from those in AWS

    4 - Storage in the Cloud

    • Cloud Storage
    • Cloud Storage Interactions
    • Comparing Amazon S3 and Amazon Glacier with Google Cloud Storage
    • Cloud Bigtable
    • Cloud SQL and Cloud Spanner
    • Cloud Datastore
    • Comparing Amazon RDS with Google Cloud’s managed database services
    • Comparing Storage Options

    5 - Containers in the Cloud

    • Containers in the Cloud
    • Kubernetes and Kubernetes Engine
    • Hybrid and Multi-Cloud
    • How Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE

    6 - Applications in the Cloud

    • App Engine Standard Environment
    • App Engine Flexible Environment
    • Comparison to Azure App Service
    • Cloud Endpoints and Apigee Edge

    7 - Developing, Deploying and Monitoring in the Cloud

    • Development in the cloud
    • Deployment: Infrastructure as code
    • How Cloud Deployment Manager differs from AWS CloudFormation
    • Monitoring: Proactive instrumentation
    • How Cloud Operations differs from Amazon CloudWatch and AWS CloudTrail

    8 - Big Data and Machine Learning in the Cloud

    • Google Cloud Big Data Platform
    • Dataflow
    • BigQuery
    • How BigQuery differs from Amazon Redshift
    • Pub/sub and Datalab
    • How Cloud Pub/Sub differs from Amazon SQS
    • Google Cloud Machine Learning Platform
    • ML APIs
    • How GCP’s machine-learning APIs differ from AWS’s

    9 - Summary and Review

    • Course Review
    • The Process of migrating from AWS to Google Cloud
    • Next Steps

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