Architecting with Google Compute Engine

This three-day instructor-led class introduces participants 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

  • 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

This class is intended for the following:

  • 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

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

  • 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

Class Outline

  • Google Cloud Platform (GCP) Infrastructure
  • Using GCP
  • Lab: Console and Cloud Shell
  • Demo: Projects
  • Lab: Infrastructure Preview
  • 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
  • Compute Engine
  • Lab: Creating Virtual Machines
  • Compute options (vCPU and Memory)
  • Images
  • Common Compute Engine actions
  • Lab: Working with Virtual Machines
  • Organizations, Roles, Members, Service accounts, Cloud IAM best practices
  • Lab: Cloud IAM
  • Cloud Storage
  • Lab: Cloud Storage
  • Cloud SQL
  • Lab: Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Lab: Cloud Datastore
  • Cloud Bigtable
  • Cloud Resource Manager, Quotas, Labels, Names, Billing
  • Demo: Billing Administration
  • Lab: Examining Billing Data with BigQuery
  • Stackdriver, Monitoring
  • Lab: Resource Monitoring (Stackdriver)
  • Logging, Error Reporting, Tracing, Debugging
  • Lab: Error Reporting and Debugging (Stackdriver)
  • Cloud Virtual Private Network (VPN)
  • Lab: Virtual Private Networks (VPN)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
  • 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, Policies, Configuration
  • Lab: Autoscaling
  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Lab: Google Cloud Platform API Infrastructure Automation
  • Deployment Manager, Configuration, Cloud Launcher
  • Lab: Deployment Manager
  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

CLASS DETAILS

Duration: 3 Days

Delivery Method: Instructor-led

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