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GCPAIN - Architecting with Google Cloud Platform: Infrastructure

Overview

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.

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.

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.

Content

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
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)
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
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

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

Certification

This course is not associated with any Certification.

Schedule

Show Schedule for:




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