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Architecting with Google Compute Engine (AGCE)

  • Intermediate
  • 18 and older
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  • Live, Interactive Online Classroom
  • 24 hours over 3 sessions

Start Dates (0) $1,995/person

No upcoming dates are currently available.

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Class Description

Description

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.

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

Course 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

Course Outline:

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

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?

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

Cancellation Policy:

Public Classes

All requests to cancel a registration must be in writing via e-mail to [email protected]

  • You may cancel 11 or more business days from the start of the class for a refund less 5% cancellation fee.
  • If you cancel less than 11 business days from the start of the class, you are responsible for 100% of the course fee.

Cisco Data Center or Cisco Cloud Courses

All requests to cancel a Cisco Data Center or Cisco Cloud class reservation must be made via e-mail.

  • You may cancel or reschedule more than 19 business days from the start of the class for a refund less 5% cancellation fee.
  • If a Learner chooses to reschedule, the payment already received will be applied to the new class.
  • If a cancellation request is made within 19 business days of the class start date, no refund will be provided, regardless of payment method.

Partner-Delivered Classes

For Partner-delivered courses, if a reservation is canceled or rescheduled fewer than 16 business days before the class start date, the entire original course fee will be forfeited. An additional course fee will be required for the new reservation.


*The school, or one of its Partners, reserves the right to cancel a course for any reason and without penalty more than ten (10) business days before the start of the class.


Rescheduling:

All requests to reschedule a registration must be in writing via e-mail to [email protected]

Public Classes

  • Students may reschedule a registration up to 11 business days before the scheduled start date without penalty.
  • Rescheduling will be defined as transferring the registration to the same course on a different date or transferring to another course of equal or lesser value up to 6 months from the original course start date.

Partner Delivered Classes

  • For Partner delivered courses, if a student reschedules less than 16 business days before the class, the entire original course fee may be forfeited. An additional course fee may be required for the new registration.


* You are allowed two (2) reschedules. After a second reschedule, the entire original course fee will be forfeited, and an additional course fee will be required for a new registration.


No Shows:

Failure to attend without prior written notice to the start date of the course will be considered a "no show" and will result in forfeiture of the full course price including NetApp courses paid for with NetApp Training Units. Under these conditions, the school, at its own discretion may allow you to re-sit another session of the same or lower priced course.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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Fast Lane - New York

Fast Lane, a leading provider of advanced IT training courses, offers complete authorized training solutions for Cisco, NetApp, VMware and more. We are a proud developer of new advanced technology courses to ensure your access to the most updated training for your career.

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