"Architecting with Google Compute Engine" is a comprehensive course designed for cloud architects and engineers who want to leverage Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and highly available infrastructure solutions. This course covers the core concepts, tools, and best practices necessary to effectively utilize Google Compute Engine (GCE) and other related services in GCP. Participants will gain hands-on experience through practical labs and real-world scenarios, ensuring they are well-equipped to implement robust cloud architectures.
Key Learning Objectives:
- Understand Google Cloud Fundamentals: Grasp the foundational concepts of Google Cloud Platform, including its global infrastructure, key services, and the benefits of using GCP.
- Master Compute Engine Essentials: Learn how to configure, manage, and optimize virtual machine instances, networking, and storage options in Google Compute Engine.
- Design Scalable Architectures: Explore best practices for designing scalable and resilient cloud architectures, including load balancing, auto-scaling, and disaster recovery strategies.
- Implement Security and Compliance: Ensure robust security measures by implementing IAM roles, firewall rules, encryption, and compliance standards in GCP.
- Optimize Cost and Performance: Understand how to monitor, manage, and optimize resource usage and costs using tools like Stackdriver and Google Cloud’s cost management features.
- Integrate with Other GCP Services: Gain insights into integrating Compute Engine with other GCP services such as Google Kubernetes Engine, Cloud Storage, BigQuery, and more.
What's in it for you?
- Introduction to Google Cloud Platform (GCP)
- Google Compute Engine (GCE)
- Networking in GCP
- Storage Solutions
- Infrastructure Automation
- Scaling Applications
- Security and Identity Management
- Monitoring and Logging
Who should enroll?
This course is ideal for:
- Cloud architects and engineers looking to deepen their knowledge of Google Compute Engine and GCP services.
- IT professionals and system administrators responsible for managing cloud infrastructure.
- Developers and DevOps engineers interested in designing and deploying applications on Google Cloud.
Prerequisites
Required
- Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment
- Basic proficiency with command-line tools and Linux operating system environments
Recommended
Course Outline
Introduction to Google Cloud Platform
- Lesson: List the different ways of interacting with GCP
- Lesson: Use the GCP Console and Cloud Shell
- Lesson: Create Cloud Storage buckets
- Lesson: Use the GCP Marketplace to deploy solutions
Virtual Networks
- Lesson: List the VPC objects in GCP
- Lesson: Differentiate between the different types of VPC networks
- Lesson: Implement VPC networks and firewall rules
- Lesson: Design a maintenance server
Virtual Machines
- Lesson: Recall the CPU and memory options for virtual machines
- Lesson: Describe the disk options for virtual machines
- Lesson: Explain VM pricing and discounts
- Lesson: Use Compute Engine to create and customize VM instances
Cloud IAM
- Lesson: Describe the Cloud IAM resource hierarchy
- Lesson: Explain the different types of IAM roles
- Lesson: Recall the different types of IAM members
- Lesson: Implement access control for resources using Cloud IAM
Storage and Database Services
- Lesson: Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
- Lesson: Choose a data storage service based on your requirements
- Lesson: Implement data storage services
Resource Management
- Lesson: Describe the cloud resource manager hierarchy
- Lesson: Recognize how quotas protect GCP customers
- Lesson: Use labels to organize resources
- Lesson: Explain the behavior of budget alerts in GCP
- Lesson: Examine billing data with BigQuery
Resource Monitoring
- Lesson: Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging
- Lesson: Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring
- Lesson: Use Stackdriver Debugger to identify and fix errors
Interconnecting Networks
- Lesson: Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
- Lesson: Determine which GCP interconnect or peering service to use in specific circumstances
- Lesson: Create and configure VPN gateways
- Lesson: Recall when to use Shared VPC and when to use VPC Network Peering
Load Balancing and Autoscaling
- Lesson: Recall the various load balancing services
- Lesson: Determine which GCP load balancer to use in specific circumstances
- Lesson: Describe autoscaling behavior
- Lesson: Configure load balancers and autoscaling
Infrastructure Automation
- Lesson: Automate the deployment of GCP services using Deployment Manager or Terraform
- Lesson: Outline the GCP Marketplace
Managed Services
- Lesson: Describe the managed services for data processing in GCP
