Google Cloud

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Google Cloud

  • Introduction to Google Cloud Platform
  • Getting Started with Google Cloud Platform
  • Virtual Machines and Networks in the Cloud
  • Load Balancing
  • Cloud IAM
  • Autoscaling
  • Storage in the Cloud
  • Resource Management & Monitoring
  • Infrastructure Automation with Google Cloud Platform APIs
  • Infrastructure Automation with Deployment Manager
  • Managed Service
  • Application Infrastructure Services
  • Application Development Services
  • Containers

Topics Covered

Google Cloud

Introduction to Google Cloud Platform

  • Explain the advantages of Google Cloud Platform
  • Define the components of Google’s network infrastructure, including: Points of presence, data centers, regions, and zones
  • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
  • Lab: Console and Cloud Shell
  • Demo: Projects
  • Lab: Infrastructure Preview

Getting Started with Google Cloud Platform

  • Identify the purpose of projects on Google Cloud Platform
  • Understand the purpose of and use cases for Identity and Access Management
  • List the methods of interacting with Google Cloud Platform
  • Lab: Getting Started with Google Cloud Platform

Virtual Machines and Networks in the Cloud

  • Identify the purpose of and use cases for Google Compute Engine
  • Understand the various Google Cloud Platform networking and operational tools and services
  • Cloud Virtual Private Network (VPN)
  • Lab: Virtual Private Networks (VPN)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS
  • Lab: Compute Engine

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

Storage in the Cloud

  • Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Learn how to choose between the various storage options on Google Cloud Platform
  • Lab: Cloud Storage and Cloud SQL

Resource Management & Monitoring

  • Cloud Resource Manager, Quotas, Labels, Names, Billing
  • Demo: Billing Administration
  • Lab: Examining Billing Data with BigQuery
  • Stackdriver, Monitoring
  • Lab: Resource Monitoring (Stackdriver)
  • Logging, Error Reporting, Tracing, Debugging
  • Lab: Error Reporting and Debugging (Stackdriver)

Infrastructure Automation with Google Cloud Platform APIs

  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Lab: Google Cloud Platform API Infrastructure Automation

Containers

  • Containers, Kubernetes Engine, Container Registry
  • Lab: Kubernetes Load Balancing
  • Kubernetes Engine, App Engine, or Containers on Compute Engine

Added features

  • Resume Preparation
  • Resume Preparation Tips
  • Sample Resumes
  • Soft copy of Notes for each module
  • 4 case studies on use case diagrams
  • 2 Real-time project specifications

Infrastructure Automation with Deployment Manager

  • Deployment Manager, Configuration, Cloud Launcher
  • Lab: Deployment Manager