Lessons:

• Create and configure App Service plans and web apps.

• Manage application settings, TLS/SSL certificates, and connection strings.

• Implement deployment slots and perform slot swaps between environments.

• Configure autoscaling, backups, and logging for performance optimization.
  

• App Service architecture and hosting models.

• Environment management and scalability.

• Continuous deployment integration.

• Diagnostic logging and troubleshooting.
  

• Deploy and configure a multi-environment web app using Azure App Service.

Develop event-driven and serverless applications that run on demand.
Lessons:

• Create functions using different triggers (HTTP, timer, queue, blob).

• Configure input and output bindings for connecting to Azure resources.

• Handle errors, retries, and durable workflows in serverless logic.

• Deploy, monitor, and secure function apps across environments.
  

• Serverless architecture and execution models.

• Function triggers, bindings, and scale control.

• Durable Functions for stateful operations.

• Observability and diagnostics for serverless code
  

• Build a function app that automatically processes uploaded files.

Build applications that store, retrieve, and manage unstructured data in Azure.
Lessons:

• Create storage accounts and blob containers.

• Implement CRUD operations using SDKs and REST APIs.

• Configure lifecycle management and storage tiers for cost efficiency.

• Secure blob data with SAS tokens and role-based access control.
  

• Blob types (block, append, page).

• Access control and encryption at rest.

• Performance tuning for large data sets.

• Data lifecycle policies and automation.
  

• Create an application that uploads, reads, and archives files using Azure Blob Storage.

Implement globally distributed, scalable databases for modern applications.
Lessons:

• Create Cosmos DB accounts, databases, and containers.

• Execute CRUD operations and queries using SDKs and SQL APIs.

• Configure consistency levels and partitioning strategies.

• Implement event processing using the change feed.
  

• Global distribution and replication.

• Partition keys and consistency models.

• Indexing and query optimization.

• Event-driven data processing with change feed.
  

• Integrate a real-time data solution using Cosmos DB and event subscriptions.

Deploy containerized applications to Azure for improved portability and scalability.
Lessons:

• Build Docker images and publish them to Azure Container Registry.

• Deploy containers using Azure Container Instances or Container Apps.

• Configure networking, secrets, and environment variables for containers.

• Manage scaling, updates, and monitoring for container workloads.
  

• Container orchestration and lifecycle management.

• Image versioning and registry security.

• CI/CD pipeline integration with containers.

• Troubleshooting and performance monitoring.
  

• Package a web app into a container and deploy it using Azure Container Apps.

Protect applications and APIs with secure access and identity management.
Lessons:

• Integrate authentication with Azure Active Directory and Microsoft Identity Platform.

• Implement token-based access using MSAL and OpenID Connect.

• Apply authorization using roles, claims, and access policies.

• Secure APIs with OAuth2 and Azure AD authentication.
  

• Identity tokens and refresh tokens.

• RBAC and claims-based authorization.

• Integration with front-end clients and APIs.

• Token validation and session security
  

• Protect a web API using Azure AD and validate access tokens.

Enhance application security and protect sensitive data in Azure.
Lessons:

• Store and retrieve secrets using Azure Key Vault.

• Implement Managed Identities for secure resource access.

• Manage centralized configuration with Azure App Configuration.

• Apply encryption and network security controls for data protection.
  

• Secret and certificate management.

• Encryption, key rotation, and policy enforcement.

• Identity-based access for resources.

• Secure configuration and compliance.
  

• Secure application credentials using Managed Identities and Azure Key Vault.

Create and manage secure, scalable APIs using Azure API Management.
Lessons:

• Configure API gateways and define API operations.

• Apply transformation, caching, and throttling policies.

• Implement versioning, revisions, and rate limiting.

• Secure APIs using OAuth2 and subscription keys.

• API gateway architecture.

• Policy definition and management.

• Monitoring and analytics for API usage.

• Developer portal and version governance.
  

• Publish and secure an internal API with custom policies and caching.

Design solutions that react to events and changes across Azure services.
Lessons:

• Configure Azure Event Grid for event publishing and subscription.

• Create custom events and event handlers using Functions and Logic Apps.

• Filter, route, and retry event deliveries for reliability.

• Design event-driven architecture for scalable integration.
  

• Event Grid schema and event sources.

• Asynchronous and decoupled communication.

• Event reliability and replay.

• Integration with other Azure services.
  

• Implement a serverless event system that reacts to storage changes.

Implement asynchronous communication between components using messaging.
Lessons:

• Create and configure Service Bus namespaces, queues, and topics.

• Send and receive messages using SDKs and message handlers.

• Manage message locks, sessions, and dead-letter queues.

• Integrate messaging with serverless or containerized components.
  

• Reliable message delivery and ordering.

• Error handling and message retry logic.

• Competing consumer pattern.

• Message serialization and performance optimization.

• Create a message-driven processing system using Azure Service Bus.

Add observability, metrics, and diagnostics to maintain application health.
Lessons:

• Instrument applications with telemetry and tracing using Application Insights.

• Analyze logs, performance metrics, and dependencies.

• Configure alerts, dashboards, and availability tests.

• Diagnose issues and optimize performance using monitoring tools.
  

• Log analytics and distributed tracing.

• Alerting and incident management.

• Performance tuning and root-cause analysis.

• Continuous monitoring and feedback loops.
  

• Integrate Application Insights and set up performance dashboards.