Architecting with Google Compute Engine

Price
$1,900.00
Duration
 3 Days
Delivery Methods
 VILT    Private Group

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, 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.

 

Upcoming Class Dates and Times

Aug 30  - Sep 02, 2021
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led
Oct 19  - Oct 22, 2021
11:00AM - 7:00PM Central
3 Days
Virtual Instructor Led
Dec 06  - Dec 10, 2021
8:00AM - 4:00PM Central
3 Days
Virtual Instructor Led

Who Should Attend

Cloud Solutions Architects, DevOps Engineers Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine

Agenda

1 - Introduction to Google Cloud
  • List the different ways of interacting with Google Cloud.
  • Use the Cloud Console and Cloud Shell.
  • Create Cloud Storage buckets.
  • Use the Google Cloud Marketplace to deploy solutions.
2 - Virtual Networks
  • List the VPC objects in Google Cloud.
  • Differentiate between the different types of VPC networks.
  • Implement VPC networks and firewall rules.
  • Implement Private Google Access and Cloud NAT.
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.
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.
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.
6 - Resource Management
  • Describe the cloud resource manager hierarchy.
  • Recognize how quotas protect Google Cloud customers.
  • Use labels to organize resources.
  • Explain the behavior of budget alerts in Google Cloud.
  • Examine billing data with BigQuery.
7 - Resource Monitoring
  • Describe the services for monitoring, logging, error reporting, tracing, and debugging.
  • Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
  • Use Cloud Debugger to identify and fix errors.
8 - Interconnecting Networks
  • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
  • Determine which Google Cloud 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.
9 - Load Balancing and Autoscaling
  • Recall the various load balancing services.
  • Determine which Google Cloud load balancer to use in specific circumstances.
  • Describe autoscaling behavior.
  • Configure load balancers and autoscaling
10 - Infrastructure Modernization
  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
  • Outline the Google Cloud Marketplace.
11 - Managed Services
  • Describe the managed services for data processing in Google Cloud.

Prerequisites

Completion of Google Cloud 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
 

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