Google Cloud Fundamentals for Azure Professionals (GCPAZURE)

 

Résumé du cours

This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

Moyens Pédagogiques
  • Réalisation de la formation par un formateur officiel
  • Mise à disposition de labs distants/plateforme de lab pour chacun des participants
  • Distribution de supports de cours officiels en langue anglaise pour chacun des participants
    • Il est fortement recommandé d'avoir une connaissance suffisante de l'anglais technique écrit
  • Méthode d'évaluation : questionnaire en fin de formation

A qui s'adresse cette formation

This course is intended for the following participants:

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

Pré-requis

To get the most out of this course, participants should:

  • Have basic proficiency with networking technologies like subnets and routing
  • Have basic proficiency with command-line tools
  • Have experience with Microsoft Azure and IIS

Objectifs

This course teaches participants the following skills:

  • Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake
  • 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

Contenu

Module 1 Introducing Google Cloud

  • Explain the advantages of Google Cloud.
  • Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
  • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).

Module 2 Getting Started with Google Cloud

  • Identify the purpose of projects on Google Cloud.
  • Understand how Azure's resource hierarchy differs from Google Cloud's
  • Understand the purpose of and use cases for Identity and Access Management.
  • Understand how Azure AD differs from Google Cloud IAM.
  • List the methods of interacting with Google Cloud.
  • Launch a solution using Cloud Marketplace.

Module 3 Virtual Machines in the Cloud

  • Identify the purpose and use cases for Google Compute Engine.
  • Understand the basics of networking in Google Cloud.
  • Understand how Azure VPC differs from Google VPC.
  • Understand the similarities and differences between Azure VM and Google Compute Engine.
  • Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure.
  • Deploy applications using Google Compute Engine.

Module 4 Storage in the Cloud

  • Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore.
  • Understand how Azure Blob compares to Cloud Storage.
  • Compare Google Cloud’s managed database services with Azure SQL.
  • Learn how to choose among the various storage options on Google Cloud.
  • Load data from Cloud Storage into BigQuery.

Module 5 Containers in the Cloud

  • Define the concept of a container and identify uses for containers.
  • Identify the purpose of and use cases for Google Container Engine and Kubernetes.
  • Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine.
  • Provision a Kubernetes cluster using Kubernetes Engine.
  • Deploy and manage Docker containers using kubectl.

Module 6 Applications in the Cloud

  • Understand the purpose of and use cases for Google App Engine.
  • Contrast the App Engine Standard environment with the App Engine Flexible environment.
  • Understand how App Engine differs from Azure App Service.
  • Understand the purpose of and use cases for Google Cloud Endpoints.

Module 7 Developing, Deploying and Monitoring in the Cloud

  • Understand options for software developers to host their source code.
  • Understand the purpose of template-based creation and management of resources.
  • Understand how Google Cloud Deployment Manager differs from Azure Resource Manager.
  • Understand the purpose of integrated monitoring, alerting, and debugging
  • Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics.
  • Create a Deployment Manager deployment.
  • Update a Deployment Manager deployment.
  • View the load on a VM instance using Google Monitoring.

Module 8 Big Data and Machine Learning in the Cloud

  • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
  • Understand how Google Cloud BigQuery differs from Azure Data Lake.
  • Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus.
  • Understand how Google Cloud’s machine-learning APIs differ from Azure's.
  • Load data into BigQuery from Cloud Storage.
  • Perform queries using BigQuery to gain insight into data.

Module 9 Summary and Review

  • Review the products that make up Google Cloud and remember how to choose among them
  • Understand next steps for training and certification
  • Understand, at a high level, the process of migrating from Azure to Google Cloud.
Formation en ligne

Durée 1 jour

Formation en salle équipée

Durée 1 jour

 

Agenda

Instructor-led Online Training:   Cours en ligne avec instructeur
Anglais
1 heure de différence
Formation en ligne Fuseau horaire: Greenwich Mean Time (GMT)