Managing FastAPI Projects with Poetry: A Step-by-Step Guide

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This guide will walk you through how to use Poetry to manage dependencies and structure your project in FastAPI . It includes detailed explanations of Poetry's core concepts and commands to help prevent issues that can arise during team collaboration and deployment. 1. What is Poetry? Poetry is a dependency management and packaging tool for Python. It goes beyond simply installing libraries by allowing you to clearly declare the dependencies your project needs and ensuring that all developers on the project have the same library versions. Clarity in Dependency Management : Explicitly manage your project's basic information and required libraries through the pyproject.toml file. Reproducible Builds : By locking all dependency versions in the poetry.lock file, it fundamentally prevents "it works on my machine" problems. Integrated Development Environment : It automatically creates and manages isolated virtual environments for each project and handles mo...
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The difference between Rate Limiting and Throttling in an API Gateway

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While "Rate Limiting" and "Throttling" are often used interchangeably in some contexts, they have distinct nuances.


Rate Limiting:

  • This defines how many requests a client can make in a specific timeframe.
  • If the user exceeds this limit, their requests will be denied.
  • This limit is typically set for short durations (e.g., per minute, per hour).
  • For example, if an API allows a user 1,000 requests per hour, that's rate limiting.


Throttling:

  • Throttling dynamically regulates the speed or rate of requests to ensure that the system doesn't get overwhelmed.
  • Throttling is introduced to maintain the overall health and performance of a system, ensuring service continuity even during spikes or unexpected surges in traffic.
  • For example, if more requests arrive at the server than it can handle, throttling would slow down the acceptance of incoming requests to prevent overloading.

In summary,

  • "Rate Limiting" ensures that a user or client doesn't exceed a specific number of requests in a predefined timeframe,
  • while "Throttling" dynamically adjusts the processing rate of requests to maintain system health and performance.

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