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Build and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance for event-driven applications. Supports Python, Node.js, and other runtimes. Ideal for APIs, scheduled tasks, and data processing without managing servers.

Build production-ready serverless applications on AWS using Lambda, API Gateway, DynamoDB, SQS/SNS, SAM/CDK deployment, event-driven patterns, and cold start optimization.

Automate deployment of containerized frontend and backend applications to Azure Container Apps using Azure Developer CLI. Supports remote builds, managed identity, Bicep infrastructure, and idempotent hooks. Ensures secure authorization and environment variable management for production environments.

This low-level SDK enables .NET developers to create and manage persistent AI agents on Azure. It supports threads, messages, runs, and tools integration. Includes features for function calling, vector store management, and file search. Ideal for building complex AI applications with C# and Azure services.

This Java SDK enables centralized application configuration management on Azure App Configuration. It supports key-value settings, feature flags, and snapshots. Developers can create, update, retrieve, and delete settings using connection strings or Entra ID credentials. Ideal for managing environment-specific configurations and feature toggles in Java applications.

This Python SDK enables centralized configuration management, feature flags, and dynamic settings for Azure applications. It supports authentication via connection strings or Entra ID, allowing developers to manage settings across environments like development and production. Features include setting read-only locks, creating snapshots for rollbacks, and handling feature flags for gradual rollouts. Ideal for microservices and cloud-native architectures requiring secure, scalable configuration control.

This Java library provides shared authentication utilities and data structures for Azure Communication Services. It supports token management, user identification, and proactive token refresh for ACS services like Chat and Calling. Ideal for developers integrating communication features into Java applications.

Build table storage applications using the Azure Tables SDK for Java. Supports Azure Table Storage and Cosmos DB Table API. Includes client creation, entity management, CRUD operations, querying, and batch transactions. Ideal for Java developers managing NoSQL data in Azure.

Build event-driven Java applications with Azure Event Grid SDK: publish EventGridEvent and CloudEvent messages, implement pub/sub patterns, parse webhook payloads, and integrate Azure services securely.

Publishes CloudEvents and Event Grid events with the Azure Event Grid SDK for Python, supporting sync/async clients, authentication, batching, and namespace topics for event-driven applications.

Build and deploy serverless applications using Azure Functions. Configure triggers, bindings, and deployment strategies for event-driven workloads. Includes Python and Node.js examples with security best practices for production environments.

This skill covers using the Azure Identity SDK for Java to authenticate applications with Azure services via Microsoft Entra ID. It details various credential types including DefaultAzureCredential, Managed Identity, Service Principals, and environment variables for secure access management in development and production environments.