Migrating to Google Cloud

Course Overview

This course introduces participants to the strategies to migrate from a source environment to Google Cloud. Participants are introduced to Google Cloud's fundamental concepts and more in-depth topics, like creating virtual machines, configuring networks, and managing access and identities. The course then covers the installation and migration process of Migrate for Compute Engine, including special features like test clones and wave migrations.

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Prerequisites

Be familiar with IT concepts like IP networking, servers, and client-server applications.

Audience Profile

Cloud architects and network architects of Google Cloud customer companies and technical employees of Google Cloud partners, especially system integrators, deployment engineers, cloud architects, and system engineers.

Learning Objectives

  • Assess the source environment and identify potential virtual machines to migrate
  • Recall Google Cloud's fundamental concepts and deploy virtual machines and global networks
  • Set up and migrate virtual machines from On-Premises or AWS to Google Cloud
  • Leverage the elasticity and globalization of the Cloud with automation and load balancers

Content Outline

This module introduces you to the learning objectives of the course.

In this module, you will learn about cloud computing characteristics, the difference between running your workloads on-premises vs. running them in the Cloud, reasons to move to the Cloud, and the common migration strategies to the Cloud.

This module will teach you how to discover and analyze your source environment via an assessment automation tool. The tool will assist you in identifying virtual machines to migrate to the Cloud, predict the total cost of ownership of running Virtual Machines in the Cloud, and optimize your Cloud bill by providing Virtual Machine recommendations based on their actual utilization.

In this module, we will compare the terminology you are familiar with on-premises or in AWS to the corresponding language on Google Cloud, explain how resource hierarchy works in Google Cloud's environment, and discover ways to control permissions with IAM. You will also learn how to limit consumption with quotas and budgets, predict cost and visualize spending over time.

In this module, you will learn how to create a Virtual Private Cloud, your network hosted on Google Cloud's infrastructure. You will also learn how to control access to your network with firewall rules and create subnets. You will then learn how to create and manage Virtual Machines in Compute Engine, choose the correct configuration, and understand Compute Engine's pricing model. Lastly, you will learn how to connect your source environment and Virtual Private Cloud.

In this module, you will learn about Migrate for Compute Engine architecture, how to install it in your source environment, the migration process, and special features like running a test clone. Lastly, you will learn how to simultaneously use migration waves to migrate many machines.

In this module, you will learn how to create and manage user identities in the Cloud using Cloud Identity. Using an automation tool, you will also learn how to sync your current users and groups from your on-premises environment to the Cloud. In addition, you will learn best practices to structure your resource hierarchy as your cloud footprint grows. You will then learn how to centrally manage a single network across multiple projects, known as Shared VPC. Lastly, you will learn how to compose an identity provider across environments.

In this module, you will gain knowledge on how to use Cloud Monitoring and Logging capabilities to enhance the observability of your cloud environment. You then know how to use managed instance groups, which are automated groups of virtual machines that can increase and decrease based on metrics. You will also learn how to use our global load balancer to frontend the group of virtual machines, and lastly, you will learn about our Cloud Support tiers.

FAQs

A: Modernizing the workload while migrating is done in an enhance and move migration. In this kind of migration, you alter the workloads to benefit from cloud-native features rather than simply making them function in the new environment. Each job can be improved in terms of performance, functionality, price, or user experience.

A: Google offers Foundations courses for people with minimal prior knowledge or expertise in cloud computing. They give an overview of key terms related to big data, machine learning, and cloud fundamentals, as well as how Google Cloud fits in

A: Google Cloud is a cloud-based computing platform that offers various applications and services. While it does require some coding, there is no need to be a professional programmer to use Google Cloud.

A: Radiant has highly intensive selection criteria for Technology Trainers & Consultants who deliver training programs. Our trainers & consultants undergo a rigorous technical and behavioral interview and assessment process before they are onboarded in the company.

Our Technology experts/trainers & consultants carry deep-dive knowledge in the technical subject & are certified by the OEM.

Our training programs are practically oriented with 70% – 80% hands-on training technology tools. Our training program focuses on one-on-one interaction with each participant, the latest content in the curriculum, real-time projects, and case studies during the training program.

Our faculty will quickly provide you with the knowledge of each course from the fundamental level, and you are free to ask your doubts at any time from your respective faculty.

Our trainers have the patience and ability to explain complex concepts simplistically with depth and width of knowledge.

To ensure quality learning, we provide support sessions even after the training program.

A: To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs. 

A: We recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techlearning will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.

A: Radiant Techlearning has a data center containing a Virtual Training environment for participants' hand-on-practice. 

Participants can easily access these labs over Cloud with the help of a remote desktop connection. 

Radiant virtual labs allow you to learn from anywhere and in any time zone. 

A: The learners will be enthralled as we engage them in the natural world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you a lot in your future tasks and assignments.

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  • Enroll
    • Learning Format: ILT
    • Duration: 80 Hours
    • Training Level : Beginner
    • Jan 29th : 8:00 - 10:00 AM (Weekend Batch)
    • Price : INR 25000
    • Learning Format: VILT
    • Duration: 50 Hours
    • Training Level : Beginner
    • Validity Period : 3 Months
    • Price : INR 6000
    • Learning Format: Blended Learning (Highly Interactive Self-Paced Courses +Practice Lab+VILT+Career Assistance)
    • Duration: 160 Hours 50 Hours Self-paced courses+80 Hours of Boot Camp+20 Hours of Interview Assisstance
    • Training Level : Beginner
    • Validity Period : 6 Months
    • Jan 29th : 8:00 - 10:00 AM (Weekend Batch)
    • Price : INR 6000

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