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Architecting with Google Compute Engine
This course will familiarize you with Google Cloud’s flexible infrastructure and platform services, with a specific focus on Compute Engine. This session uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You’ll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
What you'll learn
- Configure VPC networks and virtual machines
- Administer Identity and Access Management for resources
- Implement data storage services in Google Cloud
- Manage and examine billing of Google Cloud resources
- Monitor resources using Google Cloud services
- Connect your infrastructure to Google Cloud
- Configure load balancers and autoscaling for VM instances
- Automate the deployment of Google Cloud infrastructure services
- Leverage managed services in Google Cloud
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About this course
Overview
11 Modules · 133 Videos · 17 Labs · 28 Classrom activities
Who this course is for
- 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
Prerequisite
To get the most out of this course, participants should:
- Have completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience
- Have basic proficiency with command-line tools and Linux operating system environments
- Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
Products
- Compute Engine
- VPC Networking
- Cloud IAM
- Cloud Storage
- Cloud SQL
- Cloud Spanner
- Cloud Firestore
- Cloud Bigtable
- BigQuery
- Resource Manager
- Cloud Monitoring
- Cloud Logging
- Cloud Interconnect
- Cloud VPN
- Cloud Load Balancing
- Deployment Manager
Not Covered
- Google Kubernetes Engine
- App Engine
- Cloud Functions
- Cloud Run
- Module 1
- Introduction to Google Cloud
- Objectives
- 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
- Activities
2 labs and 1 quiz
- Module 2
- Virtual Networks
- Objectives
- 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
- Activities
2 labs and 1 quiz
- Module 3
- Virtual Machines
- Objectives
- 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
- Activities
2 labs and 1 quiz
- Module 4
- Cloud IAM
- Objectives
- 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
- Activities
1 lab and 1 quiz
- Module 5
- Storage and Database Services
- Objectives
- 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
- Activities
2 labs and 1 quiz
- Module 6
- Resource Management
- Objectives
- 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
- Activities
1 lab and 1 quiz
- Module 7
- Resource Monitoring
- Objectives
- 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
- Activities
2 labs and 1 quiz
- Module 8
- Interconnecting Networks
- Objectives
- 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
- Activities
1 lab and 1 quiz
- Module 9
- Load Balancing and Autoscaling
- Objectives
- 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
- Activities
2 labs and 1 quiz
- Module 10
- Infrastructure Automation
- Objectives
- Automate the deployment of Google Cloud services using Deployment
Manager or Terraform - Outline the Google Cloud Marketplace
- Automate the deployment of Google Cloud services using Deployment
- Activities
2 labs and 1 quiz
- Module 11
- Managed Services
- Objectives
Describe the managed services for data processing in Google Cloud
- Activities
1 quiz
AboutAppsbroker Academy
Appsbroker Academy is an Authorised Training Partner for Google Cloud. Drawing on our own highly skilled engineers’ unique experiences and expertise, we provide dedicated, industry-specific training using real-life examples to help your people to thrive.
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