Caching Done Right: Speed Without Stale Data
Caching & Traffic Management: leave with a cache-aside implementation with invalidation, stampede protection and hit-rate measurement.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why caching & traffic management matters — the common problem: Caches speed things up but serve stale data or collapse under a stampede.
- 2Core concepts in plain language: Cache-aside, read-through, write-through, write-behind, expiration, invalidation
- 3Going further: cache stampedes, consistent hashing, load balancing, reverse proxies, content delivery networks, API gateways
- 4Framework walkthrough: Back-of-the-Envelope Estimation, CAP / PACELC, Resilience Patterns
- 5Practical workflow, built live: A cache-aside implementation with invalidation, stampede protection and hit-rate measurement.
- 6How to measure it: Throughput, p99 latency, Availability, Error budget consumption
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- A cache-aside implementation with invalidation, stampede protection and hit-rate measurement.
- A working understanding of Back-of-the-Envelope Estimation and CAP / PACELC
- A short list of measures to track: Throughput, p99 latency, Availability
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