
Architecting with Google Compute Engine Training Course & Certification
Overview
Audience & Prerequisites
Course Outline
Schedule & Fees
Certification
Architecting with Google Compute Engine Training Overview
Architecting with Google Compute Engine Training is three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, 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.
Objectives:
Prerequisites of Architecting with Google Compute Engine Training
Completion of Google Cloud Platform 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.
Audience of Architecting with Google Compute Engine Training
Course outline – Architecting with Google Compute Engine
Module 1: Introduction to Google Cloud Platform
- Google Cloud Platform (GCP) Infrastructure
- Using GCP
- Lab: Console and Cloud Shell
- Demo: Projects
- Lab: Infrastructure Preview
Module 2: Virtual Networks
- Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
- Subnetworks for resource management instead of physical network topology
- Lab: Virtual Networking
- Lab: Bastion Host
Module 3: Virtual Machines
- Compute Engine
- Lab: Creating Virtual Machines
- Compute options (vCPU and Memory)
- Images
- Common Compute Engine actions
- Lab: Working with Virtual Machines
Module 4: Cloud IAM
- Organizations, Roles, Members, Service accounts, Cloud IAM best practices
- Lab: Cloud IAM
Module 5: Data Storage Services
- Cloud Storage
- Lab: Cloud Storage
- Cloud SQL
- Lab: Cloud SQL
- Cloud Spanner, Cloud Datastore
- Lab: Cloud Datastore
- Cloud Bigtable
Module 6: Resource Management
- Cloud Resource Manager, Quotas, Labels, Names, Billing
- Demo: Billing Administration
- Lab: Examining Billing Data with BigQuery
Module 7: Resource Monitoring
- Stackdriver, Monitoring
- Lab: Resource Monitoring (Stackdriver)
- Logging, Error Reporting, Tracing, Debugging
- Lab: Error Reporting and Debugging (Stackdriver)
Module 8: Interconnecting Networks
- Cloud Virtual Private Network (VPN)
- Lab: Virtual Private Networks (VPN)
- Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
Module 9: Load Balancing
- Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing
- Lab: VM Automation and Load Balancing
Module 10: Autoscaling
- Autoscaling, Policies, Configuration
- Lab: Autoscaling
Module 11: Infrastructure Automation with Google Cloud Platform APIs
- Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
- Lab: Google Cloud Platform API Infrastructure Automation
Module 12: Infrastructure Automation with Deployment Manager
- Deployment Manager, Configuration, Cloud Launcher
- Lab: Deployment Manager
Module 13: Managed Services
- Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab
Course Duration: 3 Days
Please write to us at [email protected] & contact us at +91-9015100600 for the course price & certification cost, schedule & location
Certification
For more info kindly Contact Us.