Google Cloud

CLOUD & DEVOPS

Course Description

This course will help you pass the Google Cloud for Cloud Architect. The topics mentioned are strictly in line with the official exam guide provided by Google. The course starts with basics of Cloud Computing and as the course progresses you will understand the GCP core infrastructure, how to manage GCP services such as GCP compute services, GCP database services, GCP security services, GCP networking services, GCP IAM etc. This course will also cover how to use command line tools to import data into google cloud storage and run query for data analysis.

40 Hours

  • Understand Google Cloud Platform concepts and terminologies
  • Understand GCP products and services
  • Learn methods to develop, implement, and deploy solutions
  • Distinguish between features of similar or related products and technologies
  • Learn to work with the Compute Engine, Cloud Storage, Cloud SQL and Big Query GCP services
  • Manage GCP environments using three different methods (Console, App, Command-Line)
  • Develop knowledge of solution patterns — methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities
  • Understand basics of Big Data and Machine Learning services of GCP
  • Professionals who want to start their career in Google cloud platform
  • Professionals who want to appear for Google Cloud Certification exam – Cloud Architect
  • AWS Solution Architect or Microsoft Azure Architect who wants to understand Google Cloud Platform
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, migrate application environments and infrastructure with the Google Cloud Platform

No specific pre-requisites. Any professional who understands IT Service Management can join this course. There is no programming knowledge needed and no prior Cloud experience required for this course.

Google Cloud Platform Introduction

  • Google Cloud Platform (GCP) Infrastructure
  • Compute resources
  • Networking Services
  • Storage and Database offering
  • Bigdata and AI services
  • Basics of GCP Project
  • Introduction to Primitive role

Managing GCP Services

  • Managing GCP environment with GCP console
  • Control GCP environment using CLI
  • GCP environment management using Cloud Shell
  • GCP environment management using Gcloud
  • GCP environment management using Gsutil
  • Install and configure cloud SDK

GCP Networking Services

  • Cloud Virtual Network
  • Virtual Private Network
  • Virtual Private Cloud
  • Proxies / Gateway and Endpoints
  • Network/Subnetwork
  • DNS Resolution
  • Firewalls and Routes
  • Cloud Router
  • Interconnecting networks
  • Security aspect

GCP IAM and Security Services

  • Understand Identity and Access Management (IAM)
  • Understanding Organizations, Roles, Members, Service accounts, Policy
  • Policy Hierarchy
  • Understanding different role and permission
  • Creating custom role
  • Basic IAM APIs
  • Best Practices
  • Key Management Systems
  • Data security
  • Resource Sharing and Isolation
  • Auditing
  • Penetration testing
  • Security controls

GCP Compute Services

  • Understand Compute Engine
  • Understand and implement Compute options (vCPU and Memory) specific to workload
  • Persistent disk – HDD, SSD
  • Load Balancing
  • Common Compute Engine actions

GCP Storage & Database Services

  • Understand Cloud Storage – Nearline, Coldline
  • Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Cloud Bigtable
  • Pros and cons of storage option and how to choose
  • Understanding Billing aspect of storage options
  • Tradeoff of storage options
  • Integration with on premises/multi-cloud environment

Containers

  • Understand Containers and their benefits
  • Kubernetes Engine, Container Registry
  • How to use Kubernetes Load Balancing
  • How to choose Kubernetes Engine, App Engine, or Containers on Compute Engine

Cloud Dataflow for Data Processing

  • Dataflow services
  • Stream and Batch processing
  • Apache Beam SDK
  • Monitoring using Stackdriver
  • Data transformation with Cloud Data flow
  • Working with Dataproc
  • Creating Cluster
  • Managing cluster
  • Automation of jobs

GCP APIs & Development Services

  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs
  • App Engine
  • How to use Google Stackdriver : Overview, Integration, Monitoring, Logging, Error reporting, Tracing

GCP DevOps Services

  • Setup CI/CD
  • Setting up Jenkins on Container engine
  • Deploy application on Jenkins
  • Create deployment pipeline in Jenkins
  • Create and Deploy on cluster
  • Deploy development and production environment
  • Analysis & Troubleshooting

Designing & Implementing GCP Migration

  • Collect and Analyze metrics
  • Evaluate and choose an automation framework for provisioning resources in cloud
  • Design strategy
  • Create Migration Plan

GCP Cloud Architect Exam Case Studies

  • Understand JencoMart case study
  • Understand Mountkirk Games case study
  • Understand Dress4Win case study
  • Understand TerramEarth case study
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