Design for Cloud Computing with GCP

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Duration: 4 weeks : - 20 Days

Pre-requisites:

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• 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:

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• 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

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GCP Basics and Overview

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• 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

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• 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

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• 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

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• 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

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• 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

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• 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

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• Cloud Storage
• Cloud SQL
• Cloud Spanner

Identity & Access Management (IAM)

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• 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

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• 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

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• 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

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• 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

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• 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

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

Kubernetes on GCP (Google Kubernetes Engine - GKE)

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• 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

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• 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

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• 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

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• 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)

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• 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)

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• 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)

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• 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)

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• 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

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