Google Cloud Administration

Who can get this training?

  1. System Administrators
  2. Automation Engineers
  3. Quality Analysts
  4. Business Analysts
  5. DevOps
  6. Networking Professionals
  7. Developers has Google in Projects

Module 1: Introduction to Google Cloud Platform

  1. Explain the advantages of Google Cloud Platform
  2. Define the components of Google's network infrastructure,
  3. including: Points of presence, data centers, regions, and zones
  4. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
  5. Lab: Console and Cloud Shell
  6. Demo: Projects
  7. Lab: Infrastructure Preview

Module 2: Getting Started with Google Cloud Platform

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

Module 3: Virtual Machines and Networks in the Cloud

  1. Identify the purpose of and use cases for Google Compute Engine
  2. Understand the various Google Cloud Platform networking and operational tools and services
  3. Cloud Virtual Private Network (VPN)
  4. Lab: Virtual Private Networks (VPN)
  5. Cloud Router, Cloud Interconnect, External Peering, Cloud
  6. DNS
  7. Lab: Compute Engine

Module 4: Load Balancing

  1. Managed Instance Groups, HTTPS load balancing, Crossregion and content-based load balancing, SSL proxy/TCP
  2. proxy load balancing, Network load balancing
  3. Lab: VM Automation and Load Balancing

Module 5: Cloud IAM

  1. Organizations, Roles, Members, Service accounts, Cloud
  2. IAM best practices
  3. Lab: Cloud IAM
  4. Module 6: Autoscaling
  5. Autoscaling, Policies, Configuration
  6. Lab: Autoscaling

Module 7: Storage in the Cloud

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

Module 8: Resource Management & Monitoring

  1. Cloud Resource Manager, Quotas, Labels, Names, Billing
  2. Demo: Billing Administration
  3. Lab: Examining Billing Data with BigQuery
  4. Stackdriver, Monitoring
  5. Lab: Resource Monitoring (Stackdriver)
  6. Logging, Error Reporting, Tracing, Debugging
  7. Lab: Error Reporting and Debugging (Stackdriver)

Module 9: Infrastructure Automation with Google Cloud Platform APIs

  1. Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  2. Lab: Google Cloud Platform API Infrastructure Automation

Module 10: Infrastructure Automation with Deployment Manager

  1. Deployment Manager, Configuration, Cloud Launcher
  2. Lab: Deployment Manager

Module 11: Managed Services

  1. Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

Module 12: Application Infrastructure Services

  1. Cloud Pub/Sub, API Management, Cloud Functions, Cloud
  2. Source Repositories, Specialty APIs

Module 13: Application Development Services

  1. App Engine

Module 14: Containers

  1. Containers, Kubernetes Engine, Container Registry
  2. Lab: Kubernetes Load Balancing
  3. Kubernetes Engine, App Engine, or Containers on
  4. Compute Engine