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Architecting with Google Compute Engine

Learn how to deploy and manage containerised applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform.
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3 day course
Supporting material
Classroom, Virtual, Private
Classroom
Face to face, interactive classroom training run from our global training centres.
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 is available as a live Virtual Classroom and will run over three consecutive days. We also offer private training that can be delivered at our own training facilities in San Francisco or Baltimore, or any location of your choice.

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
Book this course
$1,995 ex TAX
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