4 minute read

Design for Cloud Computing with GCP

Design for Cloud Computing with GCP

Duration: 4 weeks : - 20 Days

Pre-requisites:

• Basic Understanding of Cloud Computing • Fundamentals of IT and Networking • Knowledge on Application development • Basic understanding of Linux and Command Line • Familiarity with DevOps concepts • Familiarity with Git

Training Program Components:

• Daily Mentor led concept/demo session for the topics as per plan. • Hands-on assignments by associates on conceptslearnt daily. • Two Mock interviews will be conducted during the program

Course Outline

GCP Basics and Overview

  • Introduction to Google Cloud Platform (GCP)
  • Overview of GCP
  • Key Features and Benefits
  • GCP Products and Services
  • Categories of Products (Compute, Storage, Database, Networking, etc.)
  • Overview of Key Products

GCP Infrastructure

  • GCP Regions and Zones
  • Understanding GCP Infrastructure
  • Regions and Zones
  • Data Residency and Latency Considerations
  • Choosing the Right Region and Zone
  • Factorsto Consider
  • Regional Availability and Service Limits

Managed Services in GCP

  • Overview of Managed Services
  • What are Managed Services?
  • Benefits of Using Managed Services
  • Key Managed Services in GCP
  • Compute Engine, App Engine, Cloud Functions, Cloud Run

Google App Engine

  • Introduction to Google App Engine
  • What is App Engine?
  • Key Features and Benefits
  • App Engine Environments
  • Standard Environment vs. Flexible Environment - Developing and Deploying Applications
  • Creating and Configuring Applications
  • Deployment Strategies and Best Practices

Google Cloud Functions

  • Introduction to Google Cloud Functions
  • What are Cloud Functions?
  • Use Cases and Benefits
  • Creating and Managing Cloud Functions
  • Writing Functionsin Different Languages (Node.js, Python) - Deploying and Testing Functions
  • Integrations with Other GCP Services

Google Cloud Pub/Sub

  • Overview of Pub/Sub
  • Understanding the publisher-subscriber model - Use cases and applications
  • Creating and managing topics and subscriptions - Subscribing to Messages
  • Message Filtering and Ordering
  • Integrating Pub/Sub with Other Services

GCP Storage

  • Cloud Storage
  • Cloud SQL
  • Cloud Spanner

Identity & Access Management (IAM)

  • Introduction to IAM
  • What is IAM?
  • Key Concepts: Roles, Permissions, Policies
  • Configuring IAM Roles and Policies
  • Creating and Managing Roles
  • Applying IAM Policies to Resources
  • Best Practices for IAM

VPC and Service Controls

  • Overview of cloud networking concepts
  • What is a VPC?
  • Key components of a VPC (e.g., subnets, IP ranges, routes)
  • Introduction to VPC Service Controls
  • What are VPC Service Controls?
  • Benefits for Security and Compliance
  • Configuring VPC Service Controls
  • Creating and Managing Service Perimeters
  • Managing Access and Data Exfiltration Protection

Google Cloud Key Management Service (KMS) & Encryption

  • Introduction to Google Cloud KMS
  • What is Cloud KMS?
  • Key Concepts: Key Management, Encryption
  • Managing Encryption Keys
  • Creating and Managing Keys
  • Integrating KMS with GCP Services

Cloud Monitoring

  • Overview of Cloud Monitoring Tools
  • What is Cloud Monitoring?
  • Key Features and Benefits
  • Using Cloud Monitoring
  • Setting Up Monitoring Dashboards
  • Creating Alerts and Notifications
  • Integrations with Other GCP Services

Cloud Logging

  • Introduction to Cloud Logging
  • What is Cloud Logging?
  • Key Features and Benefits
  • Managing Logs
  • Collecting and Storing Logs
  • Searching and Analysing Logs
  • Setting Up Log-Based Alerts
  • Integration with Cloud Monitoring

Containerization and Orchestration

  • Overview of Containerization
  • Creating images and containers
  • What is Kubernetes?
  • Kubernetes Architecture
  • Overview of Kubernetes Objects

Kubernetes on GCP (Google Kubernetes Engine - GKE)

  • Introduction to Kubernetes and GKE
  • Key Features and Benefits of GKE
  • Deploying and Managing Kubernetes Clusters
  • Creating and Configuring Clusters
  • Deploying Applications on GKE
  • Scaling and Monitoring Kubernetes Clusters

API Management – Apigee and API Gateway

  • Overview of API Management
  • What is API Management?
  • Key Benefits and Use Cases
  • Introduction to Apigee
  • Key Features and Benefits
  • Designing and Managing APIs with Apigee
  • Introduction to API Gateway
  • Key Features and Benefits
  • Managing APIs with API Gateway

DevOps & Scaling

  • Overview of DevOps principles and practices
  • Introduction to Google Cloud Platform (GCP) servicesfor DevOps
  • What is DevOps?
  • DevOps Practices and Benefits
  • Implementing CI/CD Pipelines using Cloud Build - Source Code Management
  • Artifact Management with Google Artifact Repository and Google Container Registry
  • Scaling Applications
  • Auto-Scaling with GCP Services
  • Best Practices for Scaling and Monitoring

Cloud-Native Architecture

  • Introduction to Cloud-Native Architecture
  • What is Cloud-Native?
  • Key Principles and Benefits
  • Components of Cloud-Native Architecture
  • Microservices
  • Containers and Kubernetes
  • Designing Cloud-Native Applications
  • Using GCP Tools and Services for Modern Development
  • Integration with Cloud Functions and App Engine
  • Modern Development Practices

Cloud Dataflow (ETL with Java SDK)

  • Introduction to Cloud Dataflow
  • What is Cloud Dataflow?
  • Use Cases for ETL
  • Developing ETL Pipelines
  • Overview of the Java SDK
  • Building and Deploying Pipelines
  • Monitoring and Managing Dataflow Jobs

Cloud Composer (Workflow Orchestration)

  • Introduction to Cloud Composer
  • What is Cloud Composer?
  • Use Cases and Benefits
  • Creating and Managing Workflows
  • Building Directed Acyclic Graphs (DAGs)
  • Scheduling and Monitoring Workflows

BigQuery (Data Warehouse and Analytics)

  • Introduction to BigQuery
  • What is BigQuery?
  • Key Features and Benefits
  • Performing Data Analysis
  • Writing and Running SQL Queries
  • Managing Datasets and Tables
  • Integrating BigQuery with Other GCP Services

Looker (BusinessIntelligence and Reporting)

  • Introduction to Looker
  • What is Looker?
  • Key Features and Benefits
  • Building Reports and Dashboards
  • Creating Dynamic Reports
  • Designing Interactive Dashboards
  • Integrating Looker with BigQuery and Other Data Sources

Best Practices for GCP Usage

  • Cost Management and Optimization
  • Security Best Practices
  • Performance Optimization
  • Monitoring and Tuning Performance
  • Optimizing Resource Utilization

Updated:

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