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Architecting with Google Compute Engine (AGCE)

Google Cloud
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.

Who should attend:

- 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.

Certifications:
This course is part of the following Certifications:

- Google Cloud Certified Professional Cloud Architect

Architecting with Google Compute Engine (AGCE) 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

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Key Point of Training Programs

  • Architecting with Google Compute Engine (AGCE) Outline

    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?

  • Architecting with Google Compute Engine (AGCE) Course Format

    Live Virtual Course

  • Architecting with Google Compute Engine (AGCE) 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

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