gcp training

Objectives

Google Cloud Platform Training in Chennai

HALCYON technologies providing Google cloud training in Chennai. Google Cloud Platform is a suite of services relating to cloud computing. Processing, Data Storage, Data Analytics, Machine Learning, Networking, Big Data, IOT and so forth., are the administrations offered by Google Cloud Platform. We have to register using your credit card or a bank account. We get Infrastructure as a service, Platform as a service, and Server less computing environments on using Google Cloud Platform. Google lists an extensive collection of Cloud Computing tools and resources with over 90 products available.

Professional Cloud Architect - Google Cloud Platform

Introduction

Course Structure

Google Cloud Platform Overview

Getting Started ! - Login and $300 GCP Credit

Getting around Cloud Console

Regions , Zones /Data centers

Network Backbone

Google Cloud Platform Services

GCP Interfaces

GCP Projects

GCP Resources

GCP : Access Permissions

GCP Cloud Billing

Quota and Limits

Service Account

Infrastructure Service

Pricing Calculator

Cloud Interfaces

Cloud Shell

GCP Mobile App

Cloud SDK

Cloud SDK Installations and Setup

Cloud APIs

GCP Development Tools - Cloud SDK, Repositories, Plugins

Compute Service

Introduction to Google Compute Service - Compute, App, Container & Functions

Google Compute Engine (GCE) - Basics

Compute Engine - GPU's, Disks, Storgae, Images

Compute Engine - Instance Templates and Groups

Compute Engine - Networking

Startup Script

Preemptible Virtual Machine

Compute Engine - Pricing & Discount

Google Compute Engine - Linux, Windows Demo

Load Balancer

Load Balancer in Cloud Console

Load Balancer - Content Aware

Load Balancer - Load Distribution Algorithm

Load Balancer - Session Affinity

Types of Load Balancers

Load Balancer - HTTP Load Balancer

TCP/SSL Proxy Load Balancer

Load Balancer - Auto Scaling

Regional Internal/External Load Balancer

Load Balancer - Pricing

GCE - Load Balancing & Auto Scaling

App Engine

App Engine - Services, Version & Instances

App Engine - Traffic Splitting

App Engine - Flexible Environment

App Engine - app.yaml

App Engine - Auto Scaling

App Engine - Security Scanner

App Engine - Avoid Cloud charges

Kubernetes Engine

Kubernetes Engine on Google Cloud Platform

Kubernetes Engine Cluster - Master & Nodes

Kubernetes Engine - POD

Kubernetes Engine - Service

Kubernetes Engine - Deployments

Kubernetes Engine - Node Pools

Kubernetes Engine - Auto Scaling

Kubernetes Engine - Regional and Multizone Clusters

Kubernetes Engine - GPU's Support

Kubernetes Engine - Labels & Selectors

Kubernetes Engine - Load Balancing

Kubernetes Engine - Local SSD Support

Kubernetes Engine - Node Images

Kubernetes Engine - Node Repair

Kubernetes Engine - Networking

Cloud Run - Basics

Cloud Run - Service

Cloud Run - Revisions

Cloud Run - Container Instance

Cloud Run - Fully Managed

Database Service

Cloud SQL - Basics

Cloud SQL - MYSQL

Cloud SQL - PostgreSQL

Cloud SQL - Performance

Cloud SQL - Backup and Restore

Cloud SQL - Logging and Point in time recovery

Cloud SQL - High Availability

Cloud SQL - Read Replica/p>

Cloud SQL - Pricing

Cloud Storage

Cloud Storage - Consistency Model

Cloud Storage - Buckets

Cloud Storage - Objects

Cloud Storage- Storage Classes

Cloud Storage - Lifecycle Policies

Cloud Storage - Data Transfer Services

Cloud Storage - Encryption

Cloud Storage - Objects Change Notification

Cloud Storage - Audit Logging

Cloud Storage - IAM

Google Cloud Spanner

Cloud Spanner - Features

Cloud Spanner - Architecture

Cloud Spanner - Performance

Cloud Spanner - Interleaved Tables

Cloud Spanner - IAM

Google Firestore

Cloud Firestore in Datastore mode

Cloud Firestore - Schema Design

Cloud Firestore - Features

Cloud Firestore - Pricing

Cloud Firestore - IAM

Cloud BigQuery

Cloud BigQuery - Best Practices

Cloud BigQuery - IAM

Cloud BigQuery - Pricing and Others

Cloud Dataproc - Basics

Cloud Dataproc - Architectural Aspects

Cloud Dataproc - Additional Components

Cloud Dataproc - Storage Options

Cloud Dataproc - Jobs

Cloud Dataproc - Workflows

Cloud Dataproc - Quota and Limits

Cloud Dataproc - IAM

Cloud Dataproc - Pricing

Cloud BigTable

Cloud Bigtable - Architecture

Cloud Bigtable - Migration from HBASE

Cloud Bigtable - Schema Designing

Cloud BigTable - Application Profile

Cloud Bigtable - Performance

Cloud Bigtable - Quotas and Limits

Cloud BigTable - Pricing

Cloud Bigtable - IAM

Cloud Dataflow

Cloud Dataflow - Concepts

Cloud Dataflow vs Cloud Dataproc

Cloud Dataflow - Quota and Limits

Cloud Dataflow - IAM

Cloud Dataflow - Pricing

Cloud Pub/Sub

Cloud Pub/Sub - Demo

Cloud Datalab

VPC Basics

Types of VPC's

VPC and Projects

VPC and Subnets

VPC - Internal IP Addresses

VPC - Routes

VPC - Firewall Rules

VPC - Shared VPC

VPC - VPC Peering

VPC - Quota and Limits

VPC - Flow Logs

VPC - Pricing

GCP Interconnect Overview

Cloud Interconnect

Cloud Router

Cloud VPN

CLOUD CDN

CLOUD DNS

Cloud Security

IAM

Service Account

Audit Logs

Introduction to Management Tools

StackDriver Monitoring

StackDriver Logging

StackDriver Debugging

Stackdriver Error Reporting

Stackdriver Trace

Stackdriver Applications Summary

Cloud Launcher

Deployment Manager


Outcomes:

Formulate solution plans and provide guidance on GCP architectural best practices,

Design and deploy scalable, highly available, and fault tolerant systems on GCP,

Identify the lift and shift of an existing on-premises application to GCP,

Decipher the ingress and egress of data to and from GCP,

Select the appropriate GCP service based on data, compute, database, or security requirements.