Learning Objectives:

Design and implement effective governance solutions for Enterprise Traders within the Azure environment.

• Organize Azure subscriptions and management groups
• Implement cost management methodologies
• Design resource tagging strategies
• Learn how to enforce resource consistency rules and automate compliance check
• Develop strategies for managing costs during different phases of the development lifecycle

Learning Objectives:

Design cloud-native architecture for product catalog applications with enhanced performance.

• Select appropriate Azure compute services
• Implement high availability solutions
• Optimize for cost and performance
• Design solutions for handling fluctuating workloads and ensuring high availability within a single region.

Learning Objectives:

This module focuses on designing and implementing a robust and secure payment processing system for WebCart Solutions' e-commerce platform on Azure. We will address the challenges of managing multiple outbound IPs, securing application secrets, and ensuring consistent communication with payment gateways.

• Understand the challenges of managing outbound IPs for e-commerce application.
• Learn how to design and implement a solution for consistent outbound connectivity.
• Explore secure secret management strategies for cloud application.
• Learn how to integrate with various payment gateways and external APIs.

Learning Objectives:

This module focuses on designing and implementing serverless architecture for Modern Mart’s e-commerce platform using Azure Functions.

• Understand the benefits and limitations of serverless computing.
• Design and implement serverless functions using Azure Functions.
• Explore different trigger types and their use cases (e.g., HTTP, Timer, Queue).
• Implement data processing and business logic within serverless functions.

Learning Objectives:

This module focuses on designing and implementing a cost-effective and scalable storage solution for Retail Traders using Azure's non-relational storage services.

• Understand the different types of non-relational storage options available on Azure.
• Analyze data characteristics (e.g., access patterns, data size, retention requirements) to determine the most suitable storage solution.
• Learn how to leverage Azure Blob Storage features such as access tiers, immutability, and encryption.
• Design a storage architecture that optimizes for cost and performance.
• Implement data security and access control measures for different data type
• Evaluate the trade-offs between different storage options and justify your design decisions.

Learning Objectives:

This module focuses on designing and implementing a scalable and secure image storage and management platform for ImageTech Solutions using Azure services.

• Understand the challenges of storing and managing large volumes of images.
• Learn how to leverage Azure Blob Storage for efficient image storage and retrieval.
• Explore image optimization techniques for improved performance and reduced bandwidth consumption.
• Design and implement a scalable and secure architecture for image delivery using Azure CDN
• Build a backend API using Azure Functions or Azure App Service to handle image uploads, metadata management, and access control.
• Develop a front-end web application for users to interact with the image storage platform.
• Implement security measures to protect images and user data.
• Optimize for cost-effectiveness by leveraging Azure's pay-as-you-go pricing models and storage tiers.

Learning Objectives:

This module focuses on designing and implementing a highly available and performant relational database solution for E-commerce platform on Azure.

• Understand the challenges of migrating a relational database to the cloud.
• Design and implement a highly available database solution using Azure SQL Database or Azure SQL Managed Instance.
• Explore different deployment options for high availability and disaster recovery (e.g., georeplication, availability groups)
• Implement security measures to protect sensitive data (e.g., encryption, network security, access control).
• Optimize database performance through indexing, query tuning, and read replicas.
• Analyze and choose the most appropriate Azure database service based on performance, scalability, and cost requirements.

Learning Objectives:

This module focuses on designing a scalable and cost-effective architecture for Retail Traders to incorporate customer-supplied product images into their website.

• Design a scalable and resilient architecture for handling high-volume image uploads.
• Explore and select appropriate Azure storage services for storing and managing images.
• Implement asynchronous processing using Azure Functions or other serverless technologies.
• Integrate with external APIs for image scanning and validation.
• Implement message queuing services (e.g., Azure Service Bus, Azure Queue Storage) for decoupling components.
• Design and implement a notification system for customer communications.
• Optimize the architecture for cost-effectiveness and scalability.
• Consider security and compliance requirements for storing and processing user-generated content.

Learning Objectives:

This module focuses on designing and implementing secure and efficient identity and access management solutions for Retail Traders.

• Understand the principles of identity and access management (IAM)
• Explore Azure Active Directory features such as Azure AD Connect, federation, and conditional acces.
• Design and implement solutions for integrating users from different identity sources.
• Implement role-based access control (RBAC) to manage user permissions and privilege.
• Securely grant access to applications and resources using Azure AD authentication and authorization services.
• Understand and implement security best practices for identity and access management.
• Evaluate and choose the most appropriate IAM solutions based on business requirements and security considerations.

Description :

This capstone project provides hands-on experience deploying a monolithic e-commerce application (Shopping Cart) to Azure using three distinct approaches:

• IaaS (Virtual Machines): Deploy the application to Azure Virtual Machines, configuring the necessary operating system, web server, and application dependencies manually.
• PaaS (Azure App Service): Deploy the application to Azure App Service, leveraging the platform's managed infrastructure and services.
• Containerization (Docker & Azure Container Registry): Containerize the application using Docker, push the image to Azure Container Registry (ACR), and deploy it to Azure App Service for Containers.
• Students will gain practical skills in deploying a full-stack application (API and client) while automating infrastructure provisioning and implementing CI/CD pipelines for each deployment model. This allows for a direct comparison of the benefits and trade-offs of each approach
• For each deployment method, students will:
  • Create ARM Templates to automate infrastructure provisionin.
  • Design and implement a CI/CD pipeline using Azure DevOps.
  • Implement basic monitoring and logging.

Learning Objectives:

Design and implement effective governance solutions for Enterprise Traders within the Azure environment.

• Understand the core concepts of IaaS, PaaS, and Containerization.
• Gain practical experience deploying a full-stack application to Azure.
• Develop proficiency in using Azure DevOps for CI/CD.
• Learn to create and deploy ARM Templates for infrastructure automation.
• Implement basic monitoring and logging for deployed applications.
• Troubleshoot and resolve deployment and runtime issues in different environments.
• Compare and contrast the advantages and disadvantages of IaaS, PaaS, and Containerization for deploying web applications.

Description :

This capstone project provides hands-on experience deploying a microservices-based Product Catalog application to Azure using four distinct approaches:

• IaaS (Virtual Machines): Deploy each microservice to individual Azure Virtual Machines, configuring the necessary operating system, runtime environment, and application dependencies manually. This includes setting up network communication between VMs.
• PaaS (Azure App Service): Deploy each microservice as an individual Azure App Service instance, leveraging the platform's managed infrastructure.
• Containerization (Docker & Azure Container Registry): Containerize each microservice using Docker, push the images to Azure Container Registry (ACR), and deploy them to Azure App Service for Containers or Azure Container Instances (ACI) for simpler scenarios.
• Kubernetes (AKS): Deploy the containerized microservices to Azure Kubernetes Service (AKS) for orchestration and managemen
• For each deployment method, students will:
  • Create ARM Templates to automate infrastructure provisionin.
  • Design and implement a CI/CD pipeline using Azure DevOps.
  • Implement basic monitoring and logging.

Learning Objectives:

Design cloud-native architecture for product catalog applications with enhanced performance.

• Understand the principles of microservices architecture.
• Gain practical experience deploying microservices to Azure.
• Develop proficiency in using Azure DevOps for CI/CD with microservices.
• Learn to create and deploy ARM Templates for infrastructure automation in complex deployments.
• Implement basic monitoring and logging for distributed systems.
• Troubleshoot and resolve deployment and runtime issues in various microservices deployment environments.
• Compare and contrast the advantages and disadvantages of IaaS, PaaS, Containerization, and Kubernetes for deploying microservices.