Azure Course with the SVILUPPATORE MIGLIORE method

Complete Program: Azure for .NET Developers

1. 1

   Azure without getting lost: the services you actually use and the ones you can ignore

   Azure has 150 services. Most .NET developers who start using it get lost among similar names and vast documentation. The fear of making the wrong choice blocks the team for weeks, while the cloud bill grows with no plan in place. Here we cut through the noise and learn the 10 services that cover 90% of enterprise use cases.

   Programma

   • App Service vs Container AppsWhen to use one or the other, because the answer is never 'Container Apps is always better'
   • Azure SQL vs Cosmos DBHow to choose the right database for your use case with concrete and measurable criteria, without relying on gut feeling
   • Azure Functions for .NETHow to build serverless logic that scales to zero when not needed and to thousands of instances when needed, without managing servers
   • Azure StorageBlob for files, Queue for lightweight message queues, Table for simple NoSQL data, when to use which and what each costs
   • Managed IdentityHow to permanently eliminate connection strings with passwords from the application and configuration
   • Cost managementHow to set budget alerts and analyze the Azure bill to immediately find what is consuming the most

   Risultato

   You know how to deploy and manage .NET applications on Azure efficiently. No wasted money on unnecessary services and you know the cost of every architectural decision.

2. 2

   Infrastructure that builds itself: stop clicking manually on the portal

   Infrastructure created manually on the Azure portal cannot be reproduced, cannot be versioned, and will eventually diverge between environments. The day staging and production are different is the day the unreproducible bug arrives on schedule in production. With Infrastructure as Code, staging and production are identical and creating a new environment takes minutes.

   Programma

   • Bicep for .NET developersHow to describe Azure infrastructure in a familiar language and deploy it with a single pipeline, without learning HCL from scratch
   • Azure DevOps Pipelines for .NETBuild, test, push the Docker image and deploy to Azure in automatic sequence, from commit to container in production
   • Container Registry and Docker deploymentHow to build an optimized .NET image, publish it to Azure Container Registry and deploy it on Container Apps
   • Automated environmentsHow to create identical environments with Bicep and destroy them when not needed, without paying for idle staging overnight
   • Application Insights and centralized logsDistributed tracing, exception queries and performance dashboards to find a production bug in 5 minutes
   • Proactive alertsHow to receive a notification on Teams or Slack when an exception exceeds a threshold, before a user reports it

   Risultato

   Reproducible infrastructure in minutes. Automated deployment with zero manual intervention. Zero surprises in production because staging and prod are always identical.

3. 3

   How to build on Azure a system that does not break when a piece is missing

   A wrong cloud architecture is more expensive than an on-premise server: you pay more, it scales worse and it breaks in ways you cannot test locally. Systems that break unpredictably wake the team at 3 in the morning, every time there is a traffic spike. Here we build systems that fail predictably and recover on their own.

   Programma

   • Modular Monolith vs MicroservicesWhy starting with microservices is almost always the wrong choice on Azure and when it actually makes sense
   • Azure Service BusHow to decouple two services so that if one goes offline, the other keeps working and messages are never lost
   • Azure Cache for RedisHow to reduce database queries by 90% for data that rarely changes, with before/after measurement
   • Azure Key Vault with Managed IdentityHow to permanently eliminate passwords from code and configuration, without touching the application
   • Automatic scalingHow to configure rules that add instances under load and remove them when the peak passes, without manual intervention
   • Health checks and circuit breaker with PollyThe system stops calling an unresponsive service and automatically retries when it recovers

   Risultato

   Your Azure infrastructure handles traffic spikes, recovers from errors and does not wake you at 3 in the morning. And the Azure bill goes down, because every euro spent is justified.

4. 4

   Your .NET applications become intelligent: enterprise AI without losing control

   Integrating AI into a .NET application is not difficult. Doing it reliably, measurably, securely and cost-effectively in production is a completely different story. The difference between AI that works in demos and AI that works in production lies in the architecture, not in the call to the OpenAI API. Here we build enterprise-grade AI that the team can govern, measure and optimize.

   Programma

   • Azure OpenAI Service with GPT-4How to integrate an LLM with Semantic Kernel, custom plugins that use your APIs as AI tools
   • RAG with Azure AI SearchHow to allow AI to answer questions on your company documents instead of making things up, with indexing, chunking and semantic retrieval
   • Azure Cognitive ServicesHow to add OCR, image recognition or audio transcription to an existing application in a few lines of C#
   • ML.NET and Azure MLHow to train custom models on company data and deploy them as REST endpoints for classification and anomaly detection
   • Responsible AI on AzureContent filtering, bias detection, AI call audit trail for managing GDPR compliance and company policies
   • Cost management for AIHow to calculate cost per user, set budgets and optimize prompts to reduce tokens without reducing quality

   Risultato

   Your applications become intelligent with enterprise-grade AI. Users have features that until yesterday seemed like science fiction, and costs are under control.