Backend Secrets is a comprehensive collection of Python implementations covering various backend functionalities, organized into distinct modules. This repository is designed to serve as a one-stop resource for backend developers looking to streamline common tasks, enhance security, and optimize performance in their applications. Each folder addresses a specific area of backend development, from caching and authentication to machine learning and server scaling.
- analytics: Tools and libraries for tracking, analyzing, and visualizing application usage and metrics.
- apis: Examples for implementing various API types, including REST, GraphQL, gRPC, and more.
- caching: Different caching mechanisms like Redis, LRU, LFU, and file-based caching to improve application performance.
- clean_architecture: Design principles and patterns for structuring Python applications in a maintainable and scalable way.
- database: Implementations for connecting and interacting with multiple database types, including MySQL, PostgreSQL, MongoDB, Redis, and more.
- deployments: Deployment scripts and tools for setting up and scaling applications across environments.
- docker: Docker configurations to containerize services, making deployments easier and more consistent.
- emails: Code examples for integrating with popular email services like AWS SES, Mailgun, and SendGrid.
- env_secrets: Techniques for securely managing environment variables and sensitive data in Python applications.
- IaC (Infrastructure as Code): Scripts for automating infrastructure provisioning and management using tools like Terraform and CloudFormation.
- logging: Logging solutions for tracking application events, errors, and performance metrics.
- machine_learning: Modules for integrating machine learning models and handling tasks related to data processing and predictions.
- monitoring: Tools for tracking system and application performance, including Prometheus, Grafana, and Datadog integrations.
- payments: Implementations for handling payments with various providers such as Stripe, PayPal, and local options like M-Pesa.
- queueing: Message queue implementations with RabbitMQ, Redis Queue, and Celery for handling background tasks.
- scaling: Techniques and tools to scale Python applications effectively, including load balancing and horizontal scaling.
- security: Security features such as encryption, authentication, rate limiting, and best practices for securing APIs.
- sms: Code for sending SMS using providers like Twilio, Nexmo, AWS SNS, and others.
- storage: Integrations with cloud storage providers like AWS S3, Google Cloud Storage, and Azure Blob.
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Clone the repository:
git clone https://github.com/<your-username>/backend-secrets.git cd backend-secrets
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Install Dependencies: Each folder contains instructions for installing necessary libraries. You can also create a virtual environment and install dependencies separately for each module.
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Run Examples: Navigate to the desired module and follow the instructions in its README to run specific examples.
Contributions are welcome! If you have a feature to add, a bug to fix, or an improvement suggestion, please submit a pull request with a description of the changes.
This project is licensed under the MIT License. See the LICENSE file for details.