Browse

Traefik .cursorrules prompt files

Traefik is a modern HTTP reverse proxy and load balancer designed to simplify microservices deployment by automatically recognizing services and managing traffic efficiently.

Filters

All

React

Tailwind CSS

Filters

Tech

Clear

React

Tailwind CSS

Node.js

Tailwind

JavaScript

Shadcn UI

Next.js

Radix UI

Python

WebP

Zod

JSX

Vite

CSS

Supabase

HTML

Jest

Next.js App Router

PostgreSQL

Docker

Redis

Pydantic

Tailwind Aria

TailwindCSS

FastAPI

Git

ESLint

pytest

react-hook-form

Solidity

Vercel

JSDoc

GitHub Actions

Typescript

Prettier

Suspense

Vitest

ARIA

Zustand

React Testing Library

Celery

Radix

Shadcn

SQLAlchemy

PHP

SvelteKit

JSON

Vue.js

Pinia

MongoDB

tRPC

Clerk

Expo

PEP 8

SSR

Prisma

dotenv

GitLab CI

SQLite

SQL

Playwright

tanStackQuery

DaisyUI

Laravel

RESTful API

Drizzle ORM

VueUse

Express

asyncpg

TypeScript

scikit-learn

pandas

GitHub

RabbitMQ

Rust

Java

GraphQL

Svelte

Elixir

ES6

Nuxt 3

styled-components

Vue Router

Astro

Svelte 5

Markdown

OpenZeppelin

Drizzle

Stripe

Flexbox

CORS

Lighthouse

JWT

Swagger

aiomysql

Ruff

Langchain

Django

matplotlib

Clear

Blockchain Development

Visualization

JavaScript Development

Refactoring

Development Workflow

Code Refactoring

Code Generation

Programming Patterns

Commit Messages

Clean Code Practices

Content Management

Styling

DevOps

Mobile-First Design

App Development

Form Handling

Cloud Computing

Serverless Architecture

Microservices

Next.js

Vue.js

Automation

React Best Practices

Ethereum

Game Design

Semantic HTML

Structure

Python Libraries

dependency management

documentation

modular programming

software architecture

AI Programming

RESTful API Design

Testing and Deployment

Machine Learning

Data Science

Jupyter Notebook

Maintainable Code

Logging and Monitoring

Software Architecture

TypeScript Interfaces

Front-end Development

Database

Cryptography

Continuous Integration

Component Development

Cross-browser Compatibility

Dependency Management.

SOLID Principles

Simulation

User Interaction

User Interface Design

UI/UX Design

Modularity

Windows Compatibility

Continuous Improvement

Error Handling.

Component Architecture

Software Development Best Practices

User Authentication

Pseudocode

Programming Standards

Database Querying

Components

Open Source

AI Programming Assistant

Gas Optimization

Product Management

Technical Documentation

Containerization

Collaboration

Syntax

Asynchronous Programming

Payment Integration

AI Integration

Frontend Frameworks

ORM

Deployment Strategies

API Documentation

User Experience

Maintainability

Application Architecture

Integration

Environment variables

SDK Development

React Components

Programming Concepts

UI Styling

Unit Testing

Code Testing

Dart Programming

Development

Game Programming

AI Development

HTML

Authentication and Authorization

Data Integrity

Media Queries

Reactive Programming

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

NEW

Python FastAPI Guide .cursorrules prompt file

You are an expert in Python, FastAPI, microservices architecture, and serverless environments.

Advanced Principles

Design services to be stateless; leverage external storage and caches (e.g., Redis) for state persistence.
Implement API gateways and reverse proxies (e.g., NGINX, Traefik) for handling traffic to microservices.
Use circuit breakers and retries for resilient service communication.
Favor serverless deployment for reduced infrastructure overhead in scalable environments.
Use asynchronous workers (e.g., Celery, RQ) for handling background tasks efficiently.
Microservices and API Gateway Integration
Integrate FastAPI services with API Gateway solutions like Kong or AWS API Gateway.
Use API Gateway for rate limiting, request transformation, and security filtering.
Design APIs with clear separation of concerns to align with microservices principles.
Implement inter-service communication using message brokers (e.g., RabbitMQ, Kafka) for event-driven architectures.
Serverless and Cloud-Native Patterns
Optimize FastAPI apps for serverless environments (e.g., AWS Lambda, Azure Functions) by minimizing cold start times.
Package FastAPI applications using lightweight containers or as a standalone binary for deployment in serverless setups.
Use managed services (e.g., AWS DynamoDB, Azure Cosmos DB) for scaling databases without operational overhead.
Implement automatic scaling with serverless functions to handle variable loads effectively.
Advanced Middleware and Security
Implement custom middleware for detailed logging, tracing, and monitoring of API requests.
Use OpenTelemetry or similar libraries for distributed tracing in microservices architectures.
Apply security best practices: OAuth2 for secure API access, rate limiting, and DDoS protection.
Use security headers (e.g., CORS, CSP) and implement content validation using tools like OWASP Zap.
Optimizing for Performance and Scalability
Leverage FastAPI’s async capabilities for handling large volumes of simultaneous connections efficiently.
Optimize backend services for high throughput and low latency; use databases optimized for read-heavy workloads (e.g., Elasticsearch).
Use caching layers (e.g., Redis, Memcached) to reduce load on primary databases and improve API response times.
Apply load balancing and service mesh technologies (e.g., Istio, Linkerd) for better service-to-service communication and fault tolerance.
Monitoring and Logging
Use Prometheus and Grafana for monitoring FastAPI applications and setting up alerts.
Implement structured logging for better log analysis and observability.
Integrate with centralized logging systems (e.g., ELK Stack, AWS CloudWatch) for aggregated logging and monitoring.
Key Conventions

Follow microservices principles for building scalable and maintainable services.
Optimize FastAPI applications for serverless and cloud-native deployments.
Apply advanced security, monitoring, and optimization techniques to ensure robust, performant APIs.

Refer to FastAPI, microservices, and serverless documentation for best practices and advanced usage patterns.

stack:

Python

FastAPI

microservices architecture

Redis

NGINX