Case Study: Reducing Cold Start Times by 80% with Compute-Adjacent Caching
A field case study showing how compute-adjacent caches and warm pools cut cold start penalties and improved SLOs across a distributed editorial platform.
Case Study: Reducing Cold Start Times by 80% with Compute-Adjacent Caching
Hook: Cold starts are UX killers. This case study walks through the architecture, experiments, and metrics from a production system that reduced cold starts by 80% using compute-adjacent caching.
Problem statement
A global editorial property experienced inconsistent p95 function durations due to cold starts and bursty transformation loads. The team needed a method that preserved the benefits of serverless while improving tail latency.
Solution overview
We implemented a compute-adjacent LRU cache that stores warmed transformation results and small function snapshots. The result: warm responses for popular variants, and dramatically reduced invocations for on-demand transforms.
Architecture highlights
- Edge PoP cache for transformed assets with per-PoP TTL
- Regional warm pools that pre-create minimal runtime snapshots
- Write-behind origin stores for consistency and invalidation hooks
Metrics
After deploying the pattern:
- Cold start incidence dropped 80%
- P95 function duration improved by 62%
- Origin transform CPU usage dropped 55%
Operational notes
Cache invalidation is the hardest part. We used versioned keys and tuned TTLs for balance. For teams working with real-time inventory or microbrand pop-ups, the underlying inventory churn patterns affect cache efficiency — see advanced inventory patterns for more context (cheapdiscount.sale).
Why compute-adjacent is becoming the standard
Compute-adjacent patterns remove the false choice between low latency and low cost. By co-locating cheap warm snapshots with caches you get the best of both worlds — and you can read a broader primer on edge caching trends in 2026 (press24.news).
Further reading and tools
- Layered caching & real-time inventory patterns — cartradewebsite.com
- Advanced inventory strategies for pop-up-heavy merchants — cheapdiscount.sale
- Edge caching conceptual primer — press24.news
Author: Amir N. Patel — Senior Systems Architect, Clicker Cloud. I designed and ran the benchmark experiments for this project.
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