Architecting with Google Cloud Platform: Infrastructure


This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications 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.

Duration: 3 Days 

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications 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.

Duration

3 Days

Objectives

This course teaches participants the following skills:

    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.

Delivery Method

Instructor-led, Instructor-led online

Audience

This class is intended for the following participants:

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

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

Course Outline

The course includes presentations, demonstrations, and hands-on labs.

Essential Cloud Infrastructure: Foundation (also available on demand)

Module 1: Introduction to Google Cloud Platform

    Google Cloud Platform (GCP) Infrastructure
    Using GCP
    Lab: Console and Cloud Shell
    Demo: Projects
    Lab: Infrastructure Preview

Module 2: 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

Module 3: Virtual Machines

    Compute Engine
    Lab: Creating Virtual Machines
    Compute options (vCPU and Memory)
    Images
    Common Compute Engine actions
    Lab: Working with Virtual Machines

Essential Cloud Infrastructure: Core Services (also available on demand)

Module 4: Cloud IAM

    Organizations, Roles, Members, Service accounts, Cloud IAM best practices
    Lab: Cloud IAM

Module 5: Data Storage Services

    Cloud Storage
    Lab: Cloud Storage
    Cloud SQL
    Lab: Cloud SQL
    Cloud Spanner, Cloud Datastore
    Lab: Cloud Datastore
    Cloud Bigtable

Module 6: Resource Management

    Cloud Resource Manager, Quotas, Labels, Names, Billing
    Demo: Billing Administration
    Lab: Examining Billing Data with BigQuery

Module 7: Resource Monitoring

    Stackdriver, Monitoring
    Lab: Resource Monitoring (Stackdriver)
    Logging, Error Reporting, Tracing, Debugging
    Lab: Error Reporting and Debugging (Stackdriver)

Elastic Cloud Infrastructure: Scaling and Automation (also available on demand)

Module 8: Interconnecting Networks

    Cloud Virtual Private Network (VPN)
    Lab: Virtual Private Networks (VPN)
    Cloud Router, Cloud Interconnect, External Peering, Cloud DNS

Module 9: 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

Module 10: Autoscaling

    Autoscaling, Policies, Configuration
    Lab: Autoscaling

Module 11: Infrastructure Automation with Google Cloud Platform APIs

    Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
    Lab: Google Cloud Platform API Infrastructure Automation

Module 12: Infrastructure Automation with Deployment Manager

    Deployment Manager, Configuration, Cloud Launcher
    Lab: Deployment Manager

Module 13: Managed Services

    Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

Elastic Cloud Infrastructure: Containers and Services (also available on demand)
Module 14: Application Infrastructure Services

    Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

Module 15: Application Development Services

    App Engine

Module 16: Containers

    Containers, Kubernetes Engine, Container Registry
    Lab: Kubernetes Load Balancing
    Kubernetes Engine, App Engine, or Containers on Compute Engine?