080 41714080 info@consultkpi.com

Architecting with GCP: Infrastructure

Architecting with GCP: Infrastructure - Basic to Advance Workshop with Module wise assignents and Assessment

Advanced 4 (4 Rating) 272 Students enrolled
Created by KPI Consulting Last updated Thu, 25-Jun-2020 English
What will i learn?
  • This Architecting with GCP: Infrastructure workshop will help participants to have a detailed practical knowledge about
  • Compute Engine | Data Storage Services (Cloud Storage, Cloud SQL, Cloud Datastore) | Google App Engine |
  • Google Kubernetes Engine | CI /CD, Jenkins create and deploy | Networking and VPCs | Load Balancing | Logging, Monitoring, and Debugging | IAM | Managed Instance Groups | Deployment | Billing | Security

Curriculum for this course
0 Lessons 00:00:00 Hours
  • An Open Mind & Basic Knowledge of Computer Hardware
  • Linux OS and Networking and Database programming is mandatory
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Architecting with GCP: Infrastructure

This instructor-led live online session on Architecting with GCP: Infrastructure is about basic to advance Workshop with plenty hands-on sessions,  Module wise assignments and Assessment

Each Module is combined with presentation and Hands on Lab to give you in depth knowledge of the said products and services on GCP. Assignments will be added to give you more practical exposure on GCP products and services.  

Will Take Real-time Scenarios and Actual Case Studies to discuss how Organizations are using GCP.

Individual Assessment & feedback

All of this will make you super-ready for your upcoming GCP Projects or  even 100% Job Ready

The Instructor will discuss in details about various compute services, storage service, Networking and VPC, Autoscaling Using Loadbalancer, Logging and Monitoring using  Stackdriver, automatic deployment using Deployment Manager and Access Control using  IAM

Module 1: Introduction to Google Cloud Platform

• Google Cloud Platform (GCP) Infrastructure Using GCP

• Lab: Google Console and Google Cloud Shell

• Demo: Project Creation

• Lab: Infrastructure Preview

Module 2: Virtual Machines

• Google Compute Engine

• Lab: Creating Virtual Machines

• Compute options (vCPU and Memory)

• Images/Snapshots/Disks

• Common Compute Engine actions

• Lab: Working with Virtual Machines

Module 3: Virtual Networks

• Virtual Private Cloud (VPC)

• Subnetworks

• IP addresses

• Routes

• Firewall rules

• Lab: Virtual Networking

• Lab: Bastion Host

Module 4: Data Storage Services

• Google Cloud Storage

• Lab: Cloud Storage

• Cloud SQL

• Lab: Cloud SQL

• Cloud Spanner

• Cloud Datastore

• Cloud Bigtable

Module 5: Cloud IAM and Resource Management

• Organizations

• Roles

• Members

• Service accounts

• Cloud IAM best practices

• Cloud Resource Manager Quotas, Labels, Names, Billing

• Demo: Billing Administration Lab: Cloud IAM

• Lab: Examining Billing Data with BigQuery

Module 6: Resource Monitoring

• Stackdriver, Monitoring

• Lab: Resource Monitoring (Stackdriver)

• Logging, Error Reporting, Tracing, Debugging

• Lab: Error Reporting and Debugging (Stackdriver)

Module 7: Interconnecting Networks

• Cloud Virtual Private Network (VPN)

• Lab: Virtual Private Networks (VPN)

• Cloud Router

• Cloud Interconnect

• Direct Peering

• Cloud DNS

Module 8: Load Balancing and Autoscaling

• Instance Templates

• Instance Groups

• Managed and Unmanaged 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 • Autoscaling, Policies and Configuration • Lab: Autoscaling

Module 9: Infrastructure Automation with Deployment Manager

• Deployment Manager, Configuration, Cloud Launcher

• Lab: Deployment Manager

Module 10: Managed Services

• Cloud Dataproc

• Cloud Dataflow

• BigQuery

• Cloud Datalab

Module 11: Application Infrastructure Services

• Cloud Pub/Sub

• API Management

• Cloud Functions

• Cloud Source Repositories

• App Engine

Module 13: Google Kubernetes/Containers Engine

• Containers

• Google Kubernetes Engine

• Container Registry

• Lab: Kubernetes Load Balancing

• Kubernetes Engine

App Engine or Containers on Compute Engine?

Module 14: Setting up CI/CD Pipeline

• 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 • Lab: Set up a continuous delivery pipeline using Jenkins and deploy an application to Kubernetes.

** A Complete end to end Project covering all the topics **


For any further queries, feel free to contact us at info@consultkpi.com or reach us at 080 41714080

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About the instructor
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  • 28 Students
  • 54 Courses
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This workshop is delivered by one of top most industry-leading faculty with at least 10 to 15+ years of Industry as well as training experience

KPI Consulting is one of the fastest growing (with 1000+ tech workshops) e-learning & consulting Firm which provides objective-based innovative & effective learning solutions for the entire spectrum of technical & domain skills

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