Google Cloud Infrastructure for AWS Professionals

Google Cloud Infrastructure for AWS ProfessionalsGCIAWSPGOGoogleGO-GCIAWSP1.0<ul> <li>Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud.</li><li>Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall.</li><li>Create and customize virtual machine (VM) instances using Compute Engine.</li><li>Configure load balancers and autoscaling for VM instances.</li><li>Implement data storage services in Google Cloud.</li><li>Design a solution using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud.</li><li>Examine best practices for the deploying and monitoring of Google Cloud infrastructure.</li><li>Identify the purpose and use cases for Cloud Run.</li></ul>Familiarity with AWS terms and concepts.Cloud architects or cloud engineers who are experienced with AWS cloud.<h4>Module 1 - Resource and Access Management in Google Cloud</h4> Topics: <ul> <li>Google Cloud Resource Hierarchy</li><li>Identity and Access Management</li><li>Service Accounts</li><li>Interaction with Google Cloud</li></ul>Objectives: <ul> <li>Review the AWS resource hierarchy.</li><li>Explore how IAM lets you apply policies that define who can do what on which resources in Google Cloud.</li><li>Examine service account types and keys in Google Cloud.</li><li>Navigate through Google Cloud console and Cloud Shell to perform basic tasks.</li></ul>Activities: <ul> <li>Lab: Exploring Identity and Access Management</li></ul><h4>Module 2 - Networking in Google Cloud</h4> Topics: <ul> <li>Networking Concepts in AWS and Google Cloud</li><li>Virtual Private Cloud Networking</li><li>Lab: VPC Networking</li><li>Cloud Routing</li><li>Interconnecting Networks</li><li>Lab: Implement Private Google Access and Cloud NAT</li></ul>Objectives: <ul> <li>Compare networking concepts in AWS and Google Cloud.</li><li>Understand VPC networking on Google Cloud.</li><li>Explain how Google Virtual Private Cloud (VPC) differs from AWS VPC.</li><li>Create and configure Private Google Access and Cloud NAT.</li><li>Determine which Google Cloud interconnect or peering service to use in specific circumstances.</li></ul>Activities: <ul> <li>Lab: VPC Networking</li><li>Lab: Implement Private Google Access and Cloud NAT</li></ul><h4>Module 3 - Virtual Machines in Google Cloud</h4> Topics: <ul> <li>Google Compute Engine</li><li>Machine types and images</li><li>Spot VMs</li></ul> Objectives: <ul> <li>List the various CPU, GPU, and memory options for virtual machines.</li><li>Explore Google Cloud images.</li><li>Explain where you would want to use Spot VMs in Google Cloud.</li></ul>Activities: <ul> <li>Lab: Getting started with Compute Engine</li></ul><h4>Module 4 - Load Balancing and Managed Instance Groups on Google Cloud</h4> Topics: <ul> <li>Load Balancing in AWS and Google Cloud</li><li>Cloud Load Balancing Features in Google Cloud</li><li>Managed Instance Groups</li></ul>Objectives: <ul> <li>Explain Cloud Load Balancing features in Google Cloud.</li><li>Describe Managed Instance Groups and how to use them.</li><li>Explain how to use Managed Instance Groups with Load Balancers</li></ul>Activities: <ul> <li>Lab: Configuring an HTTP Load Balancer with Autoscaling</li></ul><h4>Module 5 - Storage in Google Cloud</h4> Topics: <ul> <li>Overview of Storage and Database Services</li><li>Cloud Storage</li><li>Managed Database Services</li><li>Data Lake Options</li></ul>Objectives: <ul> <li>Explore storage options and use cases.</li><li>Explore the features of Cloud SQL and Cloud Spanner.</li><li>Learn about using Cloud Bigtable.</li></ul>Activities: <ul> <li>Lab: Cloud Storage</li><li>Lab: Implementing Cloud SQL</li></ul><h4>Module 6 - Containers in Google Cloud</h4> Topics: <ul> <li>Containers in Google Cloud</li><li>Google Kubernetes Engine</li><li>Kubernetes Concepts and Architecture</li><li>Deployments and Networking</li><li>Hybrid and Multi-Cloud Computing with GKE Enterprise</li></ul>Objectives: <ul> <li>Explain how containers can be utilized in Google Cloud.</li><li>Provision a Kubernetes cluster using GKE.</li><li>Explain how Deployments are used in Kubernetes.</li><li>Identify the purpose of hybrid and multi-cloud computing with GKE Enterprise.</li></ul>Activities: <ul> <li>Lab: Getting started with Google Kubernetes Engine</li><li>Lab: Creating Google Kubernetes Engine Deployments</li></ul><h4>Module 7 - Applications in Google Cloud</h4> Topics: <ul> <li>Developing Applications in Google Cloud</li><li>Cloud Run Functions</li><li>Cloud Run</li></ul>Objectives: <ul> <li>Describe how Cloud Run Functions can support application development.</li><li>Deploy a containerized application on Cloud Run.</li></ul>Activities: <ul> <li>Lab: Hello Cloud Run</li></ul><h4>Module 8 - Monitoring in Google Cloud</h4> Topics: <ul> <li>Monitoring in the Cloud</li><li>Cloud Operations</li><li>Monitoring GKE Clusters</li><li>Monitoring Tools in AWS and Google Cloud</li></ul>Objectives: <ul> <li>Describe Google Cloud's operations suite.</li><li>Create charts, alerts, and uptime checks for resources with Cloud Monitoring.</li><li>Describe system metrics collection in GKE.</li></ul>Activities: <ul> <li>Lab: Monitoring a Compute Engine VM using Ops Agent</li></ul>- Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud. - Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall. - Create and customize virtual machine (VM) instances using Compute Engine. - Configure load balancers and autoscaling for VM instances. - Implement data storage services in Google Cloud. - Design a solution using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud. - Examine best practices for the deploying and monitoring of Google Cloud infrastructure. - Identify the purpose and use cases for Cloud Run.Familiarity with AWS terms and concepts.Cloud architects or cloud engineers who are experienced with AWS cloud.Module 1 - Resource and Access Management in Google Cloud Topics: - Google Cloud Resource Hierarchy - Identity and Access Management - Service Accounts - Interaction with Google Cloud Objectives: - Review the AWS resource hierarchy. - Explore how IAM lets you apply policies that define who can do what on which resources in Google Cloud. - Examine service account types and keys in Google Cloud. - Navigate through Google Cloud console and Cloud Shell to perform basic tasks. Activities: - Lab: Exploring Identity and Access Management Module 2 - Networking in Google Cloud Topics: - Networking Concepts in AWS and Google Cloud - Virtual Private Cloud Networking - Lab: VPC Networking - Cloud Routing - Interconnecting Networks - Lab: Implement Private Google Access and Cloud NAT Objectives: - Compare networking concepts in AWS and Google Cloud. - Understand VPC networking on Google Cloud. - Explain how Google Virtual Private Cloud (VPC) differs from AWS VPC. - Create and configure Private Google Access and Cloud NAT. - Determine which Google Cloud interconnect or peering service to use in specific circumstances. Activities: - Lab: VPC Networking - Lab: Implement Private Google Access and Cloud NAT Module 3 - Virtual Machines in Google Cloud Topics: - Google Compute Engine - Machine types and images - Spot VMs Objectives: - List the various CPU, GPU, and memory options for virtual machines. - Explore Google Cloud images. - Explain where you would want to use Spot VMs in Google Cloud. Activities: - Lab: Getting started with Compute Engine Module 4 - Load Balancing and Managed Instance Groups on Google Cloud Topics: - Load Balancing in AWS and Google Cloud - Cloud Load Balancing Features in Google Cloud - Managed Instance Groups Objectives: - Explain Cloud Load Balancing features in Google Cloud. - Describe Managed Instance Groups and how to use them. - Explain how to use Managed Instance Groups with Load Balancers Activities: - Lab: Configuring an HTTP Load Balancer with Autoscaling Module 5 - Storage in Google Cloud Topics: - Overview of Storage and Database Services - Cloud Storage - Managed Database Services - Data Lake Options Objectives: - Explore storage options and use cases. - Explore the features of Cloud SQL and Cloud Spanner. - Learn about using Cloud Bigtable. Activities: - Lab: Cloud Storage - Lab: Implementing Cloud SQL Module 6 - Containers in Google Cloud Topics: - Containers in Google Cloud - Google Kubernetes Engine - Kubernetes Concepts and Architecture - Deployments and Networking - Hybrid and Multi-Cloud Computing with GKE Enterprise Objectives: - Explain how containers can be utilized in Google Cloud. - Provision a Kubernetes cluster using GKE. - Explain how Deployments are used in Kubernetes. - Identify the purpose of hybrid and multi-cloud computing with GKE Enterprise. Activities: - Lab: Getting started with Google Kubernetes Engine - Lab: Creating Google Kubernetes Engine Deployments Module 7 - Applications in Google Cloud Topics: - Developing Applications in Google Cloud - Cloud Run Functions - Cloud Run Objectives: - Describe how Cloud Run Functions can support application development. - Deploy a containerized application on Cloud Run. Activities: - Lab: Hello Cloud Run Module 8 - Monitoring in Google Cloud Topics: - Monitoring in the Cloud - Cloud Operations - Monitoring GKE Clusters - Monitoring Tools in AWS and Google Cloud Objectives: - Describe Google Cloud's operations suite. - Create charts, alerts, and uptime checks for resources with Cloud Monitoring. - Describe system metrics collection in GKE. Activities: - Lab: Monitoring a Compute Engine VM using Ops Agent2 days1495.002065.001320.001495.001495.001495.001300.001550.001495.00