Architecting with Google Compute Engine
Overview
This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course 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.
What You'll Learn
- Interact with the Google Cloud console and Cloud Shell
- Deploy solutions using Google Cloud Marketplace
- Implement VPC networks and firewall rules
- Create and customize VM instances using Compute Engine
- 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
Who Should Attend
Cloud Solutions Architects, DevOps Engineers, and individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine
Prerequisites
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 Covered
Course Modules
Introduction to Google Cloud
Learning Outcomes
- List the different ways of interacting with Google Cloud
- Interact with the Google Cloud console and Cloud Shell
- Create Cloud Storage buckets
- Deploy solutions using Google Cloud Marketplace
Activities
Virtual Networks
Learning Outcomes
- List the VPC objects in Google Cloud
- Explore VPC Networking
- Implement Private Google Access and Cloud NAT
Activities
Virtual Machines
Learning Outcomes
- Recall the CPU and memory options for virtual machines
- Describe the disk options for virtual machines
- Explain VM pricing and discounts
- Create and customize VM instances using Compute Engine
Activities
Identity and Access Management (IAM)
Learning Outcomes
- Describe the IAM resource hierarchy
- Explain the different types of IAM roles
- Recall the different types of IAM members
- Implement access control for resources using IAM
Activities
Storage and Database Services
Learning Outcomes
- Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Firestore and Cloud Bigtable
- Choose a data storage service based on your requirements
- Implement data storage services
Activities
Resource Management
Learning Outcomes
- Describe the cloud resource manager hierarchy
- Recognize how quotas protect Google Cloud customers
- Organize resources using labels
- Explain the behavior of budget alerts in Google Cloud
- Examine billing data with BigQuery
Activities
Resource Monitoring
Learning Outcomes
- Describe the services for monitoring, logging, error reporting, tracing, and debugging
- Create charts, alerts, and uptime checks for resources with Cloud Monitoring
- Identify and fix errors using Cloud Debugger
Activities
Interconnecting Networks
Learning Outcomes
- 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 Google Cloud HA VPN
- Recall when to use Shared VPC and when to use VPC Network Peering
Activities
Load Balancing and Autoscaling
Learning Outcomes
- 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
Infrastructure Automation
Learning Outcomes
- Automate the deployment of Google Cloud services using Terraform
- Outline the Google Cloud Marketplace
Activities
Managed Services
Learning Outcomes
- Describe the managed services for data processing in Google Cloud
Activities
What's Not Covered
- Google Kubernetes Engine
- App Engine
- Cloud Functions
- Cloud Run
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-GCPIA-I
- Duration
- 3 days
- Format
- ILT
- Level
- Intermediate
- Modules
- 11
- Activities
- 17
- Price
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