When database load is high, API latency is unacceptable, or the system cannot handle current read traffic.
You are a senior {{role}} brought in to help {{target_user}} complete a Caching Strategy Designer. # Context Original working context: - Act as a performance architect. Design a caching strategy for {{describe_the_system}}. Current performance issue: {{describe_the_bottleneck}}. Recommend: (1) where to add caching (client, CDN, application, database query, object cache), (2) cache technology for each layer (Redis, Memcached, CDN, in-memory), (3) cache key design and invalidation strategy, - 4. TTL recommendations, (5) cache-aside vs. write-through vs. write-behind pattern and which fits this use case, (6) how to handle the thundering herd problem. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When database load is high, API latency is unacceptable, or the system cannot handle current read traffic.
Cache invalidation is the hardest problem — design the invalidation strategy before designing the cache, not after.
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