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| ==== LECTURE STRUCTURE ==== | ==== LECTURES ==== |
| **[[L1 – Introduction to Cloud Computing]]** | |
| * Cloud service models (IaaS, PaaS, SaaS) | |
| * Deployment models (public, private, hybrid) | |
| * Shared responsibility model | |
| * Overview of Azure ecosystem | |
| **L2 – Cloud Architecture Principles** | |
| * 12-Factor App methodology | |
| * Stateless vs stateful services | |
| * Horizontal scaling | |
| * REST architecture basics | |
| **L3 – Designing Cloud Applications** | |
| * Microservices vs monolith | |
| * API-first design | |
| * OpenAPI specification | |
| * Basic system design patterns | |
| **L4 – Containers and Virtualization** | |
| * Containers vs VMs | |
| * Docker architecture | |
| * Images, containers, volumes, networks | |
| * Multi-stage builds | |
| **L5 – Cloud Deployment Models in Azure** | |
| * Azure App Service | |
| * Azure Container Apps | |
| * Azure Storage (Blob, Table) | |
| * Azure SQL Database | |
| **L6 – DevOps & CI/CD Fundamentals** | |
| * Git workflow | |
| * GitHub Actions basics | |
| * Build pipelines | |
| * Infrastructure as Code concept | |
| **L7 – Security & Identity in Cloud** | |
| * Authentication vs Authorization | |
| * OAuth2 / JWT basics | |
| * Azure Active Directory fundamentals | |
| * Secret management | |
| **L8 – Cloud Databases & Storage** | |
| * Relational vs NoSQL | |
| * Azure SQL vs Cosmos DB | |
| * Data consistency models | |
| * Migration basics | |
| **L9 – Serverless Architectures** | |
| * Event-driven systems | |
| * Azure Functions | |
| * Triggers & bindings | |
| * Use cases | |
| **L10 – Observability & Monitoring** | |
| * Logging principles | |
| * Metrics vs traces | |
| * Azure Monitor & Application Insights | |
| * Health checks | |
| **L11 – Scalability & Performance** | |
| * Load balancing | |
| * Caching strategies | |
| * CDN basics | |
| * Cost optimization | |
| **L12 – Resilience & Reliability** | |
| * Retry patterns | |
| * Circuit breaker | |
| * SLA/SLO basics | |
| * Backup strategies | |
| **L13 – Cloud-Native Trends & Final Architecture Review** | |
| * Kubernetes overview | |
| * Infrastructure as Code (Bicep/Terraform intro) | |
| * Edge computing basics | |
| * Final project architectural consultation | |
| |
| ^ LECTURE STRUCTURE ^ LAB STRUCTURE ^ | |
| | **[[L1 – Introduction to Cloud Computing]]**\\ // * Cloud service models (IaaS, PaaS, SaaS)\\ * Deployment models (public, private, hybrid)\\ * Shared responsibility model\\ * Overview of Azure ecosystem// | **Lab 1 – Environment Setup**\\ //* Azure student subscription activation\\ * Install Azure CLI\\ * GitHub repo creation\\ * CodeSandbox project setup// | | ^ LECTURE STRUCTURE ^ LAB STRUCTURE ^ |
| | **L2 – Cloud Architecture Principles**\\ // * 12-Factor App methodology\\ * Stateless vs stateful services\\ * Horizontal scaling\\ * REST architecture basics// | **Lab 2 – Building a REST API**\\ //* Node.js / Express API\\ * CRUD endpoints\\ * Environment variables\\ * Local testing with Postman// | | | **[[L1 – Introduction to Cloud Computing]]**\\ // * Cloud service models (IaaS, PaaS, SaaS)\\ * Deployment models (public, private, hybrid)\\ * Shared responsibility model\\ * Overview of Azure ecosystem// | **[[Lab 1 – Environment Setup]]**\\ //* Azure student subscription activation\\ * Install Azure CLI\\ * GitHub repo creation\\ * CodeSandbox project setup// | |
| | **L3 – Designing Cloud Applications**\\ // * Microservices vs monolith\\ * API-first design\\ * OpenAPI specification\\ * Basic system design patterns// | **Lab 3 – Containerization**\\ //* Writing Dockerfile\\ * Building images\\ * Running containers locally\\ * Docker Compose basics// | | | **[[L2 – Cloud Architecture Principles]]**\\ // * 12-Factor App methodology\\ * Stateless vs stateful services\\ * Horizontal scaling\\ * REST architecture basics// | **[[Lab 2 – Building a REST API]]**\\ //* Node.js / Express API\\ * CRUD endpoints\\ * Environment variables\\ * Local testing with Postman// | |
| | **L4 – Containers and Virtualization**\\ // * Containers vs VMs\\ * Docker architecture\\ * Images, containers, volumes, networks\\ * Multi-stage builds// | **Lab 4 – Azure Deployment (PaaS)**\\ //* Deploy to Azure App Service\\ * Configure environment variables\\ * Connect to Azure SQL (free tier)// | | | **{{ :tanszek:oktatas:l3_designing_cloud_applications_1.pptx | L3 – Designing Cloud Applications}}**\\ // * Microservices vs monolith\\ * API-first design\\ * OpenAPI specification\\ * Basic system design patterns// | **Lab 3 – Containerization**\\ //* Writing Dockerfile\\ * Building images\\ * Running containers locally\\ * Docker Compose basics// | |
| | **L5 – Cloud Deployment Models in Azure**\\ // * Azure App Service\\ * Azure Container Apps\\ * Azure Storage (Blob, Table)\\ * Azure SQL Database// | **Lab 5 – Persistent Storage**\\ //* Azure SQL or Azure Storage\\ * Data modeling\\ * Basic migrations// | | | **{{ :tanszek:oktatas:l4_containerization_and_deployment.pptx | L4 – Containers and Virtualization}}**\\ // * Containers vs VMs\\ * Docker architecture\\ * Images, containers, volumes, networks\\ * Multi-stage builds// | **Lab 4 – Azure Deployment (PaaS)**\\ //* Deploy to Azure App Service\\ * Configure environment variables\\ * Connect to Azure SQL (free tier)// | |
| | **L6 – DevOps & CI/CD Fundamentals**\\ // * Git workflow\\ * GitHub Actions basics\\ * Build pipelines\\ * Infrastructure as Code concept// | **Lab 6 – CI/CD**\\ //* GitHub Actions workflow\\ * Automated build & deploy\\ * Versioning strategy// | | | **L5 – Cloud Deployment Models in Azure**\\ // * Azure App Service\\ * Azure Container Apps\\ * Azure Storage (Blob, Table)\\ * Azure SQL Database// | **Lab 5 – Persistent Storage**\\ //* Azure SQL or Azure Storage\\ * Data modeling\\ * Basic migrations// | |
| | **L7 – Security & Identity in Cloud**\\ // * Authentication vs Authorization\\ * OAuth2 / JWT basics\\ * Azure Active Directory fundamentals\\ * Secret management// | **Lab 7 – Midterm Project Checkpoint**\\ //* Architecture review\\ * Code review\\ * Deployment validation// | | | **L6 – DevOps & CI/CD Fundamentals**\\ // * Git workflow\\ * GitHub Actions basics\\ * Build pipelines\\ * Infrastructure as Code concept// | **Lab 6 – CI/CD**\\ //* GitHub Actions workflow\\ * Automated build & deploy\\ * Versioning strategy// | |
| | **L8 – Cloud Databases & Storage**\\ // * Relational vs NoSQL\\ * Azure SQL vs Cosmos DB\\ * Data consistency models\\ * Migration basics// | **Lab 8 – Authentication**\\ //* JWT implementation\\ * Role-based authorization\\ * Secure endpoints// | | | **L7 – Security & Identity in Cloud**\\ // * Authentication vs Authorization\\ * OAuth2 / JWT basics\\ * Azure Active Directory fundamentals\\ * Secret management// | **Lab 7 – Midterm Project Checkpoint**\\ //* Architecture review\\ * Code review\\ * Deployment validation// | |
| | **L9 – Serverless Architectures**\\ // * Event-driven systems\\ * Azure Functions\\ * Triggers & bindings\\ * Use cases// | **Lab 9 – Serverless Extension**\\ //* Azure Function integration\\ * Event-based processing// | | | **L8 – Cloud Databases & Storage**\\ // * Relational vs NoSQL\\ * Azure SQL vs Cosmos DB\\ * Data consistency models\\ * Migration basics// | **Lab 8 – Authentication**\\ //* JWT implementation\\ * Role-based authorization\\ * Secure endpoints// | |
| | **L10 – Observability & Monitoring**\\ // * Logging principles\\ * Metrics vs traces\\ * Azure Monitor & Application Insights\\ * Health checks// | **Lab 10 – Monitoring & Logging**\\ //* Enable Application Insights\\ * Logging middleware\\ * Analyze telemetry// | | | **L9 – Serverless Architectures**\\ // * Event-driven systems\\ * Azure Functions\\ * Triggers & bindings\\ * Use cases// | **Lab 9 – Serverless Extension**\\ //* Azure Function integration\\ * Event-based processing// | |
| | **L11 – Scalability & Performance**\\ // * Load balancing\\ * Caching strategies\\ * CDN basics\\ * Cost optimization// | **Lab 11 – Scaling & Performance**\\ //* Load testing (basic tools)\\ * Scaling App Service\\ * Caching layer (Redis concept demo)// | | | **L10 – Observability & Monitoring**\\ // * Logging principles\\ * Metrics vs traces\\ * Azure Monitor & Application Insights\\ * Health checks// | **Lab 10 – Monitoring & Logging**\\ //* Enable Application Insights\\ * Logging middleware\\ * Analyze telemetry// | |
| | **L12 – Resilience & Reliability**\\ // * Retry patterns\\ * Circuit breaker\\ * SLA/SLO basics\\ * Backup strategies// | **Lab 12 – Infrastructure as Code**\\ //* Simple Bicep template\\ * Automated provisioning// | | | **L11 – Scalability & Performance**\\ // * Load balancing\\ * Caching strategies\\ * CDN basics\\ * Cost optimization// | **Lab 11 – Scaling & Performance**\\ //* Load testing (basic tools)\\ * Scaling App Service\\ * Caching layer (Redis concept demo)// | |
| | **L13 – Cloud-Native Trends & Final Architecture Review**\\ // * Kubernetes overview\\ * Infrastructure as Code (Bicep/Terraform intro)\\ * Edge computing basics\\ * Final project architectural consultation// | **Lab 13 – Final Project Presentation**\\ //* Live deployment demo\\ * Architecture explanation\\ * Peer review// | | | **L12 – Resilience & Reliability**\\ // * Retry patterns\\ * Circuit breaker\\ * SLA/SLO basics\\ * Backup strategies// | **Lab 12 – Infrastructure as Code**\\ //* Simple Bicep template\\ * Automated provisioning// | |
| | | **L13 – Cloud-Native Trends & Final Architecture Review**\\ // * Kubernetes overview\\ * Infrastructure as Code (Bicep/Terraform intro)\\ * Edge computing basics\\ * Final project architectural consultation// | **Lab 13 – Final Project Presentation**\\ //* Live deployment demo\\ * Architecture explanation\\ * Peer review// | |
