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Categories Google Cloud Cloud Platform Architect

Architecting with Google Compute Engine

Google Training

Course #:GCP-460
Duration: 3 Days
Price: 1,785.00 USD
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Course Description

This Architecting with Google Compute Engine course introduces students to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
 


Objectives

Upon completion of the Architecting with Google Compute Engine course, students will be able to:
  • Consider the entire range of Google Cloud Platform technologies in their plans
  • Learn methods to develop, implement, and deploy solutions
  • Distinguish between features of similar or related products and technologies
  • Recognize a wide variety of solution domains, use cases, and applications
  • Develop essential skills for managing and administering solutions
  • Develop knowledge of solution patterns, methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

Audience

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

Prerequisites

Completion of Google Cloud Platform Fundamentals or equivalent experience, Basic proficiency with command-line tools and Linux operating system environments Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.
 

Topics

Introduction to Google Cloud Platform
  • Google Cloud Platform (GCP) Infrastructure
  • Using GCP
  • Lab: Console and Cloud Shell
  • Demo: Projects
  • Lab: Infrastructure Preview
Virtual Networks
  • Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
  • Subnetworks for resource management instead of physical network topology
  • Lab: Virtual Networking
  • Lab: Bastion Host
Virtual Machines
  • Compute Engine
  • Lab: Creating Virtual Machines
  • Compute options (vCPU and Memory)
  • Images
  • Common Compute Engine actions
  • Lab: Working with Virtual Machines
Cloud IAM
  • Organizations, Roles, Members, Service accounts, Cloud IAM best practices
  • Lab: Cloud IAM
Data Storage Services
  • Cloud Storage
  • Lab: Cloud Storage
  • Cloud SQL
  • Lab: Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Lab: Cloud Datastore
  • Cloud Bigtable
Resource Management
  • Cloud Resource Manager, Quotas, Labels, Names, Billing
  • Demo: Billing Administration
  • Lab: Examining Billing Data with BigQuery
Resource Monitoring
  • Stackdriver, Monitoring
  • Lab: Resource Monitoring (Stackdriver)
  • Logging, Error Reporting, Tracing, Debugging
  • Lab: Error Reporting and Debugging (Stackdriver)
Interconnecting Networks
  • Cloud Virtual Private Network (VPN)
  • Lab: Virtual Private Networks (VPN)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
Load Balancing
  • Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing
  • Lab: VM Automation and Load Balancing
Autoscaling
  • Autoscaling, Policies, Configuration
  • Lab: Autoscaling
Infrastructure Automation with Google Cloud Platform APIs
  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Lab: Google Cloud Platform API Infrastructure Automation
Infrastructure Automation with Deployment Manager
  • Deployment Manager, Configuration, Cloud Launcher
  • Lab: Deployment Manager
Managed Services
  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab
 

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