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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.
Preferably Good knowledge in Linux fundamentals,
Software or Information Technology or Infrastructure understanding
Anyone want to enhance skills with Cloud Architecture Certifications
Anyone want to get understanding on Google Cloud Platform - GCP
Anyone is preparing for Cloud Architect Exam from Google
Anyone Wants to understand Public Cloud, Private Cloud, Hybrid Cloud Deployment
Anyone wants general to understand Services offering from Google Cloud Platform.
Customer of Google Cloud Platform and wants understanding on services offered.
Current Customers of Amazon, Azure or any other public cloud wants to understand GCP Services
AWS Solution Architect or Microsoft Azure Architects wants to understand Google Cloud Platform
Developers , Lead Developers who are using Google Cloud Platform Services , or any other public cloud services.
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
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.
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