TTL & Cache-Key Choices: Hit Ratio from Zipf Popularity
This lesson is part of the course
In this lesson
You model how popular Glimmerline's 100,000 article images are with a Zipf distribution, estimate the hit ratio at one edge for a given TTL and compare four TTL and cache-key scenarios.
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Lessons in this course
- Request Hit Ratio vs Byte Hit Ratio by Content Type Locked
- Origin Offload: Origin Load in Requests per Second & Servers Needed Locked
- Tiered Egress Pricing: the Monthly Bandwidth Bill Locked
- Total Cost With vs Without a CDN Locked
- TTL & Cache-Key Choices: Hit Ratio from Zipf Popularity Locked
- Latency Gain: Edge vs Origin Round Trips Weighted by Hit Ratio Locked
- Image Optimisation: Bytes Saved by Resizing & Format Locked
- Traffic Forecast & the Commit-Contract Decision (Chart) Locked