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Architecting with Google Cloud Platform: Infrastructure, Washington D.C.

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Architecting with Google Cloud Platform: Infrastructure, Washington D.C.


Architecting with Google Cloud Platform: Infrastructure

(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 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

 

Module 1: Introduction to Google Cloud Platform


Role of the Cloud Architect

Learn about Solution Domains as an approach to design

Lab: Console and Cloudshell

Lab: Projects

Lab: Infrastructure Preview


Module 2: Virtual Networks


Cloud Virtual Networks (CVN), 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


GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs

Lab: Creating Virtual Machines

Lab: Working with Virtual Machines


Module 4: Cloud IAM


Members, roles, organizations, account administration, service accounts

Lab: Cloud IAM


Module 5: Data Storage Services


Cloud Storage, Datastore, Bigtable, Cloud SQL

Lab: Cloud Storage

Lab: Cloud SQL

Lab: Cloud Datastore


Module 6: Resource Management


Billing, Quotas, Labels, Names, Cloud Resource Manager

Lab: Billing Administration

Lab: Examining Billing Data and BigQuery


Module 7: Resource Monitoring


Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging

Lab: Resource Monitoring (Stackdriver)

Lab: Error Reporting and Debugging (Stackdriver)


Module 8: Interconnecting Networks


VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS

Lab: Virtual Private Networks (VPN)

Lab: Dynamic VPN with Cloud Routers


Module 9: Load Balancing


Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups

Lab: VM Automation and Load Balancing


 Module 10: Autoscaling


Autoscaler

Lab: Autoscaling


Module 11: Infrastructure Automation with Cloud API


Infrastructure automation, custom images, startup and shutdown scripts and metadata

Lab: Cloud API Infrastructure Automation



Module 12: Infrastructure Automation with Deployment Manager


Deployment Manager templates

Lab: Deployment Manager


Module 13: Managed Services


Dataproc, Dataflow, BigQuery, Datalab


Module 14: Application Development Infrastructure


Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions


Module 15: Application Development Services


Google App Engine (GAE), Dev Tools, Cloud Source Repos.

Lab: App Engine Development


Module 16: Containers


Containers, Google Container Engine (GKE), and Container Registry.

Lab: Kubernetes Load Balancing



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