Connector Rate Limiting System

A Connector Rate Limiting System is a traffic-control policy-based API rate limiting system that can support connector throttling tasks for integration connectors accessing rate-limited resources.

• AKA: Connector Throttling System, Integration Rate Controller, Connector Traffic Shaper.
• Context:
  • It can typically enforce Connector Request Quotas through connector rate limit policys implementing connector request per second limits, connector daily quotas, and connector concurrent connection limits.
  • It can typically implement Connector Throttling Algorithms through connector rate control mechanisms including connector token bucket, connector sliding window, and connector leaky bucket.
  • It can typically manage Connector Rate Limit Configurations through connector policy definitions specifying connector limit thresholds, connector time windows, and connector burst allowances.
  • It can typically track Connector Usage Metrics through connector monitoring systems measuring connector request counts, connector response times, and connector error rates.
  • It can typically handle Connector Rate Limit Responses through connector retry strategys implementing connector exponential backoff, connector jitter addition, and connector circuit breaker.
  • ...
  • It can often provide Connector Priority Queues through connector request prioritization supporting connector tier-based limits, connector user-based quotas, and connector operation-based throttles.
  • It can often enable Connector Adaptive Rate Limitings through connector dynamic adjustments based on connector system load, connector response latency, and connector error thresholds.
  • It can often support Connector Distributed Rate Limitings through connector cluster coordination using connector shared counters, connector consensus protocols, and connector state synchronization.
  • It can often maintain Connector Rate Limit Bypasss through connector exemption rules for connector admin requests, connector health checks, and connector critical operations.
  • ...
  • It can range from being a Simple Connector Rate Limiting System to being a Complex Connector Rate Limiting System, depending on its connector rate limiting sophistication.
  • It can range from being a Fixed Connector Rate Limiting System to being an Adaptive Connector Rate Limiting System, depending on its connector rate limiting flexibility.
  • It can range from being a Local Connector Rate Limiting System to being a Distributed Connector Rate Limiting System, depending on its connector rate limiting architecture.
  • It can range from being a Synchronous Connector Rate Limiting System to being an Asynchronous Connector Rate Limiting System, depending on its connector rate limiting processing mode.
  • It can range from being a Hard-Limit Connector Rate Limiting System to being a Soft-Limit Connector Rate Limiting System, depending on its connector rate limiting enforcement.
  • ...
  • It can integrate with API Gateway for connector rate enforcement at edge.
  • It can connect to Load Balancer for connector traffic distribution.
  • It can interface with Monitoring System for connector usage analytics.
  • It can communicate with Cache System for connector response caching.
  • It can synchronize with Configuration Service for connector limit updates.
  • ...
• Example(s):
  • Cloud Provider Connector Rate Limiting Systems, such as:
    • AWS Connector Rate Limiting Systems, such as:
      • AWS API Gateway Throttling for AWS service rate control.
      • AWS Lambda Concurrency Limit for serverless connector throttling.
    • Google Cloud Connector Rate Limiting Systems, such as:
      • GCP API Quota System for Google service rate management.
      • Cloud Endpoints Rate Limiting for API connector throttling.
  • API Management Connector Rate Limiting Systems, such as:
    • Kong Connector Rate Limiting Systems, such as:
      • Kong Rate Limiting Plugin for API gateway throttling.
      • Kong Request Termination Plugin for overload protection.
    • Apigee Connector Rate Limiting Systems, such as:
      • Apigee Spike Arrest for sudden traffic control.
      • Apigee Quota Policy for long-term rate management.
  • Application-Level Connector Rate Limiting Systems, such as:
    • Redis-Based Connector Rate Limiting Systems, such as:
      • Redis Rate Limiter for distributed rate counting.
      • Redis Sliding Window Limiter for precise rate control.
    • In-Memory Connector Rate Limiting Systems, such as:
      • Token Bucket Rate Limiter for burst traffic handling.
      • Fixed Window Counter for simple rate limiting.
  • ...
• Counter-Example(s):
  • Unlimited Access System, which provides unrestricted access without rate control.
  • Static Capacity System, which uses fixed capacity rather than dynamic throttling.
  • Manual Access Control, which requires human approval rather than automated rate limiting.
• See: Rate Limiting System, API Gateway, Traffic Management System, Quality of Service System, Integration Connector, Load Balancing System, Circuit Breaker Pattern.
• Reference(s):
  • https://www.gabormelli.com/RKB/Application_Programming_Interface_(API)
  • https://www.gabormelli.com/RKB/Rate_Limiting_System

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