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Tag: functions

Browse 10 practical software engineering resources tagged with "functions". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving functions.

Build HTTP-Triggered Azure Functions with Python

Create HTTP-triggered Azure Functions in Python with binding configuration, async handlers, dependency injection, and deployment via Azure CLI.

Minimize Cold Start Latency in Serverless Functions

How to reduce cold start times in AWS Lambda, Azure Functions, and Cloud Run using provisioned concurrency, lazy loading, runtime tuning, and dependency optimization.

Build Event-Driven Serverless Architectures

How to design loosely coupled systems using serverless functions triggered by events from message queues, databases, and webhooks.

Implement Event Sourcing in Serverless Architectures

How to capture all changes as immutable events using event sourcing with AWS Lambda, DynamoDB streams, and event stores for audit trails and temporal queries.

Build Real-Time APIs with WebSockets on Serverless

How to implement bidirectional real-time communication using WebSockets with AWS API Gateway, Lambda, DynamoDB, and what works in connection management.

Run Scheduled Jobs with Serverless Functions

How to replace cron jobs with serverless scheduled functions for backups, reporting, cleanup, and periodic maintenance tasks.

Build Serverless APIs with API Gateway

How to design, deploy, and manage serverless HTTP APIs using AWS API Gateway, Lambda, and function-as-a-service patterns.

Build Serverless Functions

Create and deploy serverless functions with AWS Lambda, Google Cloud Functions, and Azure Functions for event-driven, pay-per-use compute.

Orchestrate Serverless Workflows with Step Functions and

How to coordinate complex serverless processes using AWS Step Functions, Temporal, and Durable Functions to manage state, retries, and error handling across distributed functions.

Clean Code: Naming, Functions, Classes, Comments

Master clean code principles: meaningful naming, small functions, single responsibility, comments, formatting, error handling, and production code quality patterns.