Architecting with Google Compute Engine

Duration : 3 Days (24 Hours)

Architecting with Google Compute Engine Course Overview:

During the course, participants will learn how to deploy practical solutions, including hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. These topics are essential for building reliable and secure infrastructure on Google Cloud.

By engaging in hands-on labs and practical exercises, participants will gain firsthand experience in deploying these solutions, enabling them to apply their knowledge effectively. The course is structured to provide a balance between theoretical understanding and practical application.

Upon completion of the course, participants will be familiar with Google Cloud’s flexible infrastructure and platform services, with a specific emphasis on Compute Engine. They will have the skills and knowledge required to deploy and manage infrastructure components, implement security measures, monitor resources, and optimize their solutions on Google Cloud.

Intended Audience:

  • Cloud Solutions Architects, DevOps Engineers
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine

Course Objectives:

  • Configure VPC networks and virtual machines
  • Administer Identity and Access Management for resources
  • Implement data storage services in Google Cloud
  • Manage and examine billing of Google Cloud resources
  • Monitor resources using Google Cloud services
  • Connect your infrastructure to Google Cloud
  • Configure load balancers and autoscaling for VM instances
  • Automate the deployment of Google Cloud infrastructure services
  • Leverage managed services in Google Cloud

Module 01: Introduction to Google Cloud
  • List the different ways of interacting with Google Cloud
  • Use the Cloud Console and Cloud Shell
  • Create Cloud Storage buckets
  • Use the Google Cloud Marketplace to deploy solutions
  • List the VPC objects in Google Cloud
  • Differentiate between the different types of VPC networks
  • Implement VPC networks and firewall rules
  • Implement Private Google Access and Cloud NAT
  • Recall the CPU and memory options for virtual machines
  • Describe the disk options for virtual machines
  • Explain VM pricing and discounts
  • Use Compute Engine to create and customize VM instances
  • Describe the IAM resource hierarchy
  • Explain the different types of IAM roles
  • Recall the different types of IAM members
  • Implement access control for resources using IAM
  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Firestore and Cloud Bigtable
  • Choose a data storage service based on your requirements
  • Implement data storage services
  • Describe the cloud resource manager hierarchy
  • Recognize how quotas protect Google Cloud customers
  • Use labels to organize resources
  • Explain the behavior of budget alerts in Google Cloud
  • Examine billing data with BigQuery
  • Describe the services for monitoring, logging, error reporting, tracing, and debugging
  • Create charts, alerts, and uptime checks for resources with Cloud Monitoring
  • Use Cloud Debugger to identify and fix errors
  • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud
  • Determine which Google Cloud interconnect or peering service to use in specific circumstances
  • Create and configure VPN gateways
  • Recall when to use Shared VPC and when to use VPC Network Peering
  • Recall the various load balancing services
  • Determine which Google Cloud load balancer to use in specific circumstances
  • Describe autoscaling behavior
  • Configure load balancers and autoscaling
  • Automate the deployment of Google Cloud services using Terraform
  • Outline the Google Cloud Marketplace

Managed Services

Architecting with Google Compute Engine Course Prerequisites:

  • Have completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience
  • Have basic proficiency with command-line tools and Linux operating system environments
  • Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
Q: What is the “Architecting with Google Compute Engine” course?

A: “Architecting with Google Compute Engine” is a training course that focuses on teaching participants how to design and deploy applications on Google Compute Engine. Google Compute Engine is a part of Google Cloud Platform (GCP) and provides virtual machines for running workloads in the cloud.

A: This course is suitable for architects, system administrators, DevOps engineers, and IT professionals who want to learn how to architect and optimize applications on Google Compute Engine. It is designed for individuals who have a basic understanding of cloud computing concepts and want to gain expertise in designing solutions using Compute Engine.

A: The “Architecting with Google Compute Engine” course covers various topics, including understanding the Compute Engine platform, designing compute instances and networks, configuring storage options, managing virtual machine instances, implementing load balancing and autoscaling, optimizing performance and costs, and ensuring security and compliance.

A: Participants should have a fundamental understanding of cloud computing concepts, including virtual machines, networking, and storage. Familiarity with Google Cloud Platform (GCP) is beneficial but not mandatory.

A: By completing this course, participants will gain the skills and knowledge to architect and optimize applications on Google Compute Engine. They will be able to design compute instances and networks, configure storage options effectively, manage virtual machine instances, implement load balancing and autoscaling for scalability, optimize performance and costs, and ensure security and compliance of Compute Engine deployments.

A: This course is not directly associated with a specific certification. However, the knowledge and skills acquired through this course can be beneficial for individuals pursuing various Google Cloud certifications, such as the “Google Cloud Certified – Professional Cloud Architect” or “Google Cloud Certified – Associate Cloud Engineer” certifications.

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  • Familiar environment
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Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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