What is the most efficient token bucket algorithm implementation for custom API gateway rate limiting inside a Go-based microservice architecture deployed on ECS?
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What is the most efficient token bucket algorithm implementation for custom API gateway rate limiting inside a Go-based microservice architecture deployed on ECS?
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AWS ECS distributed rate limiting Redis token bucket Go API gateway architecture AWS best practices Google ↗
Go x/time/rate token bucket implementation monotonic clock concurrency documentation Google ↗
- time/rate/rate.go at master · golang/time · github.com
- rate package - golang.org/x/time/rate · pkg.go.dev
- Go Wiki: Rate Limiting · go.dev
- Token bucket rate limiter with Redis and Go · redis.io
- Redis rate limiter · redis.io
- REL05-BP02 Throttle requests · docs.aws.amazon.com
- REL05-BP02 Throttle requests · docs.aws.amazon.com
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| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS ECS distributed rate limiting Redis token bucket Go API gateway architecture AWS best practices OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Go x/time/rate token bucket implementation monotonic clock concurrency documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |