Sliding Window
A rate limiting algorithm that tracks requests in a rolling time window. More accurate than fixed windows because it smooths out spikes at window boundaries.
What is Sliding Window?
A rate limiting algorithm that tracks requests in a rolling time window. More accurate than fixed windows because it smooths out spikes at window boundaries.
Sliding Window is a intermediate-level concept that sits in the Security Architecture area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Sliding Window" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
Learn Sliding Window in depth
Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
Open the Sliding Window lessonRelated lessons
Lessons that touch on Sliding Window as part of a larger topic.
Sliding Window
Rate limit with a moving time window, smoother than fixed windows and more accurate
intermediate · api design protocols
Sliding Windows
Windows that slide with every event, continuous recalculation over the most recent N events or T time
advanced · stream batch processing
Rate Limiting for Resilience
Protect services from abuse and overload, token bucket, sliding window, and distributed rate limiting
advanced · reliability resilience
Design a Rate Limiter
Design a distributed rate limiting system - token bucket, sliding window, and protecting services at massive scale
capstone · capstone
See also
Related glossary terms you might want to look up next.
Rate Limiting
Controlling how many requests a client can make in a given time window. Protects your API from abuse and ensures fair usage.
Token Bucket
A rate limiting algorithm where tokens are added to a bucket at a fixed rate. Each request consumes a token; requests are rejected when the bucket is empty. Allows short bursts.
Throttling
Slowing down the rate of processing requests instead of rejecting them outright. The gentler cousin of rate limiting.