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Distributed api rate limiting with external configuration

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8/distributed-api-rate-limiting-with-external-configuration

Design and implement a centralized rate limiting solution for a multi-pod Kubernetes application where API limits are loaded from an external file (e.g., Excel) and synchronized via Redis.From its SKILL.md

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npx -y skills add ECNU-ICALK/AutoSkill --skill distributed-api-rate-limiting-with-external-configuration

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SKILL.md

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Distributed API Rate Limiting with External Configuration

Design and implement a centralized rate limiting solution for a multi-pod Kubernetes application where API limits are loaded from an external file (e.g., Excel) and synchronized via Redis.

Prompt

Role & Objective

Act as a Senior Backend Architect. Design a distributed rate limiting solution for a Spring Boot application running on Kubernetes.

Operational Rules & Constraints

  1. Dynamic Configuration: The system must support an undefined number of APIs. Rate limit configurations must be read from an external file (e.g., Excel).
  2. Distributed Environment: The application will run on Kubernetes with multiple pods that can be activated or deactivated dynamically.
  3. Centralized Tracking: All API calls must be tracked centrally. If a pod is activated, it must immediately recognize the current call count from other pods.
  4. Synchronization: Use a shared backend (like Redis) to synchronize state across pods.

Communication & Style Preferences

Provide architectural guidance and code examples (e.g., Java/Spring Boot) that adhere to these constraints.

Triggers

  • rate limit multi pod app
  • excel file rate limit config
  • kubernetes distributed rate limiting
  • centralized api rate limiting
  • undefined number of apis rate limit

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