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Caching and Performance Optimization Questions

Covers design and implementation of multi layer caching and end to end performance strategies for web and backend systems. Topics include client side techniques such as browser caching, service worker strategies, code splitting, and lazy loading for components images and data; edge and distribution techniques such as content delivery network design and caching of static assets; and server side and data layer caching using in memory stores such as Redis and Memcached, query result caching, and database caching patterns. Includes cache invalidation and coherence strategies such as time to live, least recently used eviction, cache aside, write through and write behind, and prevention of cache stampedes. Covers when to introduce caching and when not to, performance and consistency trade offs, connection pooling, monitoring and metrics, establishing performance budgets, and operational considerations such as cache warm up and invalidation during deploys. Also addresses higher level concerns including search engine optimization implications and server side rendering trade offs, and how performance decisions map to user experience and business metrics at senior levels.

EasyTechnical
29 practiced
Explain Time To Live (TTL) and Least Recently Used (LRU) eviction policies. For frontend or edge caches give one example where TTL is sufficient and one example where LRU is preferable.
HardTechnical
29 practiced
You want to A/B test a new caching strategy that changes TTLs and introduces edge stale-while-revalidate behavior. Design the experiment: what metrics to track (performance and business), how to split traffic safely, required sample size considerations for conversion metrics, and rollback criteria if customers are negatively impacted.
MediumSystem Design
34 practiced
Design a practical CDN invalidation and deployment plan for frontend releases to avoid serving stale JS/CSS while minimizing costly full-cache purges. Explain how you would use versioned assets, surrogate keys, and a staged invalidation approach.
HardTechnical
29 practiced
You must design a robust cache invalidation procedure for frontend deploys that minimizes downtime and avoids serving stale pages across millions of CDN objects. Describe an operational plan that covers asset versioning, cache purges versus immutable assets, staged deployment, and rollback actions.
MediumTechnical
29 practiced
Show an example webpack configuration snippet (or equivalent bundler) that implements asset fingerprinting for cache busting and explains how to configure the server or CDN to serve those immutable assets with long max-age headers while keeping HTML responses short-lived.

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