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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

Course Description

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 experienced developers who are responsible for managing big data transformations including:

  • Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers.
  • 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:

  • Completed Google Cloud Platform Fundamentals or have 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
  • Role of the Cloud Architect.
  • Learn about Solution Domains as an approach to design.
  • Lab: Console and Cloud Shell.
  • Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules.
  • Subnetworks for resource management instead of physical network topology.
  • Lab: Virtual Networking.
  • GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs.
  • Members, roles, organizations, account administration, service accounts.
  • Lab: Cloud IAM.
  • Billing, Quotas, Labels, Names, Cloud Resource Manager.
  • Lab: Lab Billing.
  • Cloud Storage, Datastore, Bigtable, Cloud SQL.
  • Lab: Cloud Storage.
  • Lab: Cloud SQL.
  • VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS.
  • Lab: VPN and Cloud Router.
  • Infrastructure automation, custom images, startup and shutdown scripts and metadata, Deployment Manager, Cloud Launcher.
  • Lab: Hadoop Cluster Maker.
  • Lab: Virtual Machine.
  • Load Balancing, Instance Groups, Autoscaler.
  • Lab: Autoscaling.
  • Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging.
  • Lab: Resource Monitoring (Stackdriver).
  • Containers, Google Container Engine (GKE), and Container Registry.
  • Learn about Google's layered security strategy that uses a multi-faceted approach to provide platform security services and benefits.
  • Dataproc, Dataflow, BigQuery, Datalab.
  • Lab: BigQuery and Datalab.
  • App Engine, Cloud SDK, Dev Tools, Cloud Source Repos, Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions.