Azure Function App
Core Functionality¶
Event-Driven Execution: Runs code in response to various events, such as HTTP requests, timers, or messages from other Azure services like Azure Storage or Azure Event Hubs.
Language Support: Supports multiple programming languages, including C#, JavaScript, Python, Java, and PowerShell, allowing developers to use their preferred language.
Scalability: Automatically scales based on the demand, ensuring that your functions can handle varying workloads without manual intervention.
Integration: Integrates seamlessly with other Azure services, such as Azure Logic Apps, Azure API Management, and Azure Event Grid, to build comprehensive solutions.
Development and Deployment: Offers a range of tools for development, including Visual Studio, Visual Studio Code, and the Azure portal. Supports continuous integration and deployment pipelines to streamline the deployment process.
Monitoring and Diagnostics: Provides built-in monitoring and diagnostics through Azure Monitor, Application Insights, and other tools to track the performance and health of your functions.
Well Architected Framework¶
Reliability: - Use appropriate triggers (e.g., HTTP requests, queues) for resilience. - Implement retries, durable patterns, exception handling, and idempotency. - Ensure scalability and monitor performance with Application Insights.
Security: - Enable managed identities for secure access to Azure services. - Use Azure Key Vault for secrets management and apply network security controls. - Restrict access using Microsoft Entra ID and secure networking configurations.
Cost Optimization: - Choose pricing plans (Consumption, Premium, Dedicated) suited to your workload. - Optimize operation time through efficient coding and minimize dependencies. - Regularly monitor costs and set up alerts for anomalies.
Operational Excellence: - Automate deployments with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). - Implement health monitoring with Azure Monitor and Application Insights. - Plan for disaster recovery and use deployment slots for safe updates.
Performance Efficiency: - Minimize latency (e.g., use prewarmed instances in Elastic Premium plans). - Write optimized, efficient code and leverage autoscaling. - Monitor key performance metrics like CPU and memory usage.