/azure-functions
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
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/azure-functions
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Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
SKILL.md
azure-functions.SKILL.mdname: azure-functions
description: >
Create serverless functions on Azure with triggers, bindings, authentication,
and monitoring. Use for event-driven computing without managing
infrastructure.
Azure Functions
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Azure Functions enables serverless computing on Microsoft Azure. Build event-driven applications with automatic scaling, flexible bindings to various Azure services, and integrated monitoring through Application Insights.
When to Use
- HTTP APIs and webhooks
- Message-driven processing (Service Bus, Event Hub)
- Scheduled jobs and CRON expressions
- File and blob processing
- Queue-based workflows
- Real-time data processing
- Microservices and backend logic
- Integration with Azure ecosystem services
Quick Start
Minimal working example:
# Install Azure Functions Core Tools
curl https://aka.ms/install-artifacts-ubuntu.sh | bash
# Login to Azure
az login
# Create resource group
az group create --name myapp-rg --location eastus
# Create storage account (required for Functions)
az storage account create \
--name myappstore \
--location eastus \
--resource-group myapp-rg \
--sku Standard_LRS
# Create Function App
az functionapp create \
--resource-group myapp-rg \
--consumption-plan-location eastus \
--runtime node \
--runtime-version 18 \
--functions-version 4 \
--name myapp-function \
--storage-account myappstore
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Azure Function Creation with Azure CLI](references/azure-function-creation-with-azure-cli.md) | Azure Function Creation with Azure CLI | | [Azure Function Implementation (Node.js)](references/azure-function-implementation-nodejs.md) | Azure Function Implementation (Node.js) | | [Azure Functions with Terraform](references/azure-functions-with-terraform.md) | Azure Functions with Terraform | | [Function Bindings Configuration](references/function-bindings-configuration.md) | Function Bindings Configuration |
Best Practices
✅ DO
- Use managed identity for Azure services
- Store secrets in Key Vault
- Enable Application Insights
- Implement idempotent functions
- Use durable functions for long-running operations
- Handle exceptions and failures
- Monitor function execution
- Use bindings instead of SDK calls
❌ DON'T
- Store secrets in code or configuration
- Ignore Application Insights
- Create functions without error handling
- Use blocking operations
- Create long-running functions without Durable Functions
- Ignore monitoring and logging
Read more
name: azure-functions description: > Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
Azure Functions
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Azure Functions enables serverless computing on Microsoft Azure. Build event-driven applications with automatic scaling, flexible bindings to various Azure services, and integrated monitoring through Application Insights.
When to Use
- HTTP APIs and webhooks
- Message-driven processing (Service Bus, Event Hub)
- Scheduled jobs and CRON expressions
- File and blob processing
- Queue-based workflows
- Real-time data processing
- Microservices and backend logic
- Integration with Azure ecosystem services
Quick Start
Minimal working example:
# Install Azure Functions Core Tools curl https://aka.ms/install-artifacts-ubuntu.sh | bash # Login to Azure az login # Create resource group az group create --name myapp-rg --location eastus # Create storage account (required for Functions) az storage account create \ --name myappstore \ --location eastus \ --resource-group myapp-rg \ --sku Standard_LRS # Create Function App az functionapp create \ --resource-group myapp-rg \ --consumption-plan-location eastus \ --runtime node \ --runtime-version 18 \ --functions-version 4 \ --name myapp-function \ --storage-account myappstore // ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Azure Function Creation with Azure CLI](references/azure-function-creation-with-azure-cli.md) | Azure Function Creation with Azure CLI | | [Azure Function Implementation (Node.js)](references/azure-function-implementation-nodejs.md) | Azure Function Implementation (Node.js) | | [Azure Functions with Terraform](references/azure-functions-with-terraform.md) | Azure Functions with Terraform | | [Function Bindings Configuration](references/function-bindings-configuration.md) | Function Bindings Configuration |
Best Practices
✅ DO
- Use managed identity for Azure services
- Store secrets in Key Vault
- Enable Application Insights
- Implement idempotent functions
- Use durable functions for long-running operations
- Handle exceptions and failures
- Monitor function execution
- Use bindings instead of SDK calls
❌ DON'T
- Store secrets in code or configuration
- Ignore Application Insights
- Create functions without error handling
- Use blocking operations
- Create long-running functions without Durable Functions
- Ignore monitoring and logging
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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