Skill UI

This comprehensive guide covers the best practices for building production-ready, scalable serverless applications on Amazon Web Services (AWS). Learn to leverage core services like Lambda, API Gateway, and DynamoDB, and implement advanced patterns such as event-driven architectures (SQS/SNS). The content emphasizes performance optimization, robust error handling, structured logging, and deploying infrastructure using SAM/CDK.

This comprehensive guide covers the best practices for building production-ready, scalable serverless applications on Amazon Web Services (AWS). Learn to leverage core services like Lambda, API Gateway, and DynamoDB, and implement advanced patterns such as event-driven architectures (SQS/SNS). The content emphasizes performance optimization, robust error handling, structured logging, and deploying infrastructure using SAM/CDK.

A comprehensive solution for deploying multi-service, containerized applications (frontend + backend) to Azure Container Apps. This utility uses the Azure Developer CLI (azd) to manage the entire lifecycle, ensuring idempotent infrastructure provisioning, remote builds, managed identity integration, and robust environment configuration across development, staging, and production environments.

A comprehensive solution for deploying multi-service, containerized applications (frontend + backend) to Azure Container Apps. This utility uses the Azure Developer CLI (azd) to manage the entire lifecycle, ensuring idempotent infrastructure provisioning, remote builds, managed identity integration, and robust environment configuration across development, staging, and production environments.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

The Azure AI Projects SDK enables developers to build and manage sophisticated, end-to-end AI applications directly on Microsoft Foundry. It provides comprehensive client operations for managing agents, datasets, model deployments, and indexes. Key features include integrating diverse tools (like code interpreters and file search) and handling complex conversational flows, making it ideal for building production-grade AI workflows.

Guides building production-ready Azure Cosmos DB NoSQL services with FastAPI, enforcing clean code, security best practices, and TDD-friendly layers for client setup, service logic, and model conversion.

This SDK provides comprehensive Python support for interacting with Azure Event Hubs, a high-throughput streaming platform. It allows developers to build robust data ingestion pipelines, acting as both event producers (sending data) and event consumers (receiving data). Key features include efficient batch processing, partition key management, and reliable checkpointing using Azure Blob Storage for production-grade stream applications.

This SDK provides comprehensive Python support for interacting with Azure Event Hubs, a high-throughput streaming platform. It allows developers to build robust data ingestion pipelines, acting as both event producers (sending data) and event consumers (receiving data). Key features include efficient batch processing, partition key management, and reliable checkpointing using Azure Blob Storage for production-grade stream applications.

Master expert patterns for building robust serverless applications using Azure Functions. This guide covers multi-language support (.NET, Python, Node.js), including the isolated worker model, Durable Functions orchestration, cold start optimization, and implementing various triggers (HTTP, Timer, Blob). Essential for developing scalable, production-ready cloud backend services.

Master expert patterns for building robust serverless applications using Azure Functions. This guide covers multi-language support (.NET, Python, Node.js), including the isolated worker model, Durable Functions orchestration, cold start optimization, and implementing various triggers (HTTP, Timer, Blob). Essential for developing scalable, production-ready cloud backend services.

The official Azure Identity SDK for .NET, providing robust and flexible authentication for Azure SDK clients using Microsoft Entra ID. It simplifies secure credential management by supporting various methods, including Managed Identity, Service Principals, and the recommended DefaultAzureCredential, which automatically handles authentication across different environments (local, staging, production).