Architecting with Google Compute Engine

Name: Architecting with Google Compute Engine
Price: 13350.00 EUR

Gain an overview of the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine.

3 day course

Supporting material

Virtual, Private

Virtual Classroom

A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As an authorised Google Cloud Training Partner, Jellyfish has been selected by Google to facilitate the delivery of this three-day course.

We’ll cover deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Through a combination of presentations, demos, and hands-on labs, you’ll explore and deploy solution elements, including infrastructure components such as networks, systems, and application services.

This Architecting with Google Compute Engine course will run over three consecutive days and is offered as a private training session. It can be delivered at our own training venue in the World Trade Center, Barcelona, any location of your choice or via Virtual Classroom.

Course overview

Who should attend:

This course is intended for the following participants:

Cloud Solutions Architects and DevOps Engineers
Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine
Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Walk away with the ability to:

Configure VPC networks and virtual machines
Administer Identity and Access Management for resources
Implement data storage services in GCP
Manage and examine billing of GCP resources
Monitor resources using Stackdriver services
Connect your infrastructure to GCP
Configure load balancers and autoscaling for VM instances
Automate the deployment of GCP infrastructure services
Leverage managed services in GCP

Prerequisites

To get the most of out of this course, you should have:

Completed the Google Cloud Platform Fundamentals or have equivalent experience
Basic proficiency with command-line tools and Linux operating system environments

Course agenda

Module 1: Introduction to Google Cloud Platform

List the different ways of interacting with GCP
Use the GCP Console and Cloud Shell
Create Cloud Storage buckets
Use the GCP Marketplace to deploy solutions

Module 2: Virtual Networks

List the VPC objects in GCP
Differentiate between the different types of VPC networks
Implement VPC networks and firewall rules
Design a maintenance server

Module 3: Virtual Machines

Recall the CPU and memory options for virtual machines
Describe the disk options for virtual machines
Explain VM pricing and discounts
Use Compute Engine to create and customize VM instances

Module 4: Cloud IAM

Describe the Cloud IAM resource hierarchy
Explain the different types of IAM roles
Recall the different types of IAM members
Implement access control for resources using Cloud IAM

Module 5: Storage and Database Services

Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
Choose a data storage service based on your requirements
Implement data storage services

Module 6: Resource Management

Describe the Cloud resource manager hierarchy
Recognise how quotas protect GCP customers
Use labels to organise resources
Explain the behaviour of budget alerts in GCP
Examine billing data with BigQuery

Module 7: Resource Monitoring

Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging
Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring
Use Stackdriver Debugger to identify and fix errors

Module 8: Interconnecting Networks

Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
Determine which GCP interconnect or peering service to use in specific circumstances
Create and configure VPN gateways
Recall when to use Shared VPC and when to use VPC Network Peering

Module 9: Load Balancing and Autoscaling

Recall the various load balancing services
Determine which GCP load balancer to use in specific circumstances
Describe autoscaling behaviour
Configure load balancers and autoscaling

Module 10: Infrastructure Automation

Automate the deployment of GCP services using Deployment Manager or Terraform
Outline the GCP Marketplace

Module 11: Managed Services

Describe the managed services for data processing in GCP

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