'caching' 검색 결과

Design multi-tier caching architectures for web applications — cache-aside vs write-through vs write-behind, TTL design, cache invalidation, Redis patterns, CDN configuration, browser caching, and stampede prevention. Use when choosing a caching pattern, designing cache invalidation strategies, implementing Redis caching, configuring Cache-Control headers, or preventing cache stampedes. Activate on "cache invalidation", "cache-aside", "write-through", "TTL", "Redis cache", "CDN caching", "cache stampede", "stale data", "browser cache". NOT for database query caching within an ORM, memoization of pure functions, or CPU-level caching.

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Design multi-tier caching architectures for web applications — cache-aside vs write-through vs write-behind, TTL design, cache invalidation, Redis patterns, CDN configuration, browser caching, and stampede prevention. Use when choosing a caching pattern, designing cache invalidation strategies, implementing Redis caching, configuring Cache-Control headers, or preventing cache stampedes. Activate on "cache invalidation", "cache-aside", "write-through", "TTL", "Redis cache", "CDN caching", "cache stampede", "stale data", "browser cache". NOT for database query caching within an ORM, memoization of pure functions, or CPU-level caching.

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Plan caching for repeated LLM requests by choosing what to reuse: shared prompt beginnings, complete responses, or documents loaded in advance. Covers Anthropic prompt caching, cache invalidation, and problems caused by changing inputs or outdated answers.

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• Reusing shared instructions across Claude requests
• Caching answers to repeated or similar questions
• Planning document preloading with CAG

Caching Specialist IA — Expert en caching (Redis, Memcached, CDN, HTTP caching, stale-while-revalidate)

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Restructure repeated LLM API requests so shared instructions and reference material can be cached, meaning reused across calls. Track cached input, write and storage costs, and response times to assess whether the changes actually save money.

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• Reordering shared instructions in repeated API requests
• Estimating cache read, write, and storage costs
• Measuring cache hit rates and response times

Build or review Java Spring Boot backends using examples for web APIs, separate application layers, and database access. Covers input validation, error handling, caching, background processing, and logging to guide maintainable implementations.

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• Designing web APIs and separating application layers
• Reviewing database access and transactions
• Adding input validation and centralized error handling

World-class caching strategies - cache invalidation, Redis patterns, CDN caching, and the battle scars from cache bugs that served stale data for hoursUse when "cache, caching, redis, memcached, cdn, ttl, invalidation, stale, cache aside, write through, cache stampede, thundering herd, cache warming, etag, cache-control, caching, redis, memcached, cdn, performance, http-cache, ttl, invalidation" mentioned.

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CI/CD caching optimizer for dependency caching, Docker layer caching, and build speed improvements. Activate on: CI cache, build speed, dependency caching, Docker layer cache, turbo remote cache, GitHub Actions cache, pnpm store cache. NOT for: CI/CD pipeline creation (use github-actions-pipeline-builder), deployment strategy (use blue-green-deployment-orchestrator), Docker image building (use docker-multi-stage-optimizer).

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Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augmented.

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CI/CD caching optimizer for dependency caching, Docker layer caching, and build speed improvements. Activate on: CI cache, build speed, dependency caching, Docker layer cache, turbo remote cache, GitHub Actions cache, pnpm store cache. NOT for: CI/CD pipeline creation (use github-actions-pipeline-builder), deployment strategy (use blue-green-deployment-orchestrator), Docker image building (use docker-multi-stage-optimizer).

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Defines caching strategies with cache keys, TTL values, invalidation triggers, consistency patterns, and correctness checklist. Provides code examples for Redis, CDN, and application-level caching. Use when implementing "caching", "performance optimization", "cache strategy", or "Redis caching".

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Build Redis caching, request limits, locks that coordinate multiple workers, and messaging. Use concrete implementation patterns to choose data structures, set key expiration, manage connections, and review common production pitfalls.

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• Add response caching to an API
• Limit API requests per user
• Prevent workers from running the same job simultaneously

Build or review Django applications using examples for project structure, APIs, database access, and caching. Apply patterns for separating settings and business logic, validating requests, and reducing repeated database queries.

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• Organizing a Django project's settings and structure
• Designing APIs with Django REST Framework
• Reducing unnecessary database queries

Design caching for repeated PDF parsing, text extraction, or image analysis using SHA-256 hashes, identifiers calculated from file contents. Reuse results after files move or change names, and process them again when their contents change.

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• Caching repeated PDF text extraction
• Reusing results after files move or change names
• Adding caching around existing processing functions

Audit browser caching to reduce repeated downloads when people revisit a site. Check cache headers for static files and HTML pages, then suggest suitable storage durations and validation settings based on measured loading problems.

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• Investigate slow loading on repeat visits
• Review cache headers for static files
• Set separate caching policies for HTML and hashed assets

Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, counters, streams, queues, pub/sub, distributed locks, feature flags, shopping carts, or other caching strategies. Activate for GenAI and ML retrieval: vector similarity search for low-latency retrieval, semantic caching, RAG, LLM response caching, embedding stores, AI agent memory, recommendation, personalization. Activate for ElastiCache lifecycle: provisioning (serverless or node-based), engine selection, CloudFormation/CDK/Terraform IaC, VPC connectivity, TLS, RBAC, IAM auth, Global Datastore, monitoring, troubleshooting, cost optimization, and migration from self-managed Redis. Do not trigger for browser caches, CDN/CloudFront, HTTP Cache-Control, CPU caches.

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Implement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.

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Provides patterns for unit testing Spring Cache annotations (@Cacheable, @CachePut, @CacheEvict). Generates test code that mocks cache managers, verifies cache hit/miss behavior, tests cache key generation with SpEL expressions, validates eviction strategies, and checks conditional caching scenarios. Triggers: caching tests, test Spring cache, mock cache, Spring Boot caching, cache hit/miss verification, @Cacheable testing.

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Caching specialist v2 — Redis, Memcached, CDN caching, invalidation strategies, distributed, patterns

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Designs multi-layer caching strategy with edge CDN, server-side caching, cache invalidation, and CDN configuration. Use for "caching strategy", "CDN setup", "cache invalidation", or "performance optimization".

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Build and review Laravel web applications and APIs with clear separation of responsibilities. Covers Eloquent database models, input validation, consistent API responses, background jobs, events, and caching, helping organize application logic and data access.

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• Separating controller code into services and actions
• Reviewing Eloquent relationships and unnecessary database queries
• Standardizing API responses, pagination, and input validation

Configure Turborepo builds for projects containing multiple apps and shared packages. Set task dependencies, reuse saved build outputs locally or remotely, limit runs to affected packages, and investigate why cached results are not being reused.

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• Setting up build tasks in a new Turborepo project
• Sharing cached build outputs between local machines and CI
• Running builds only for affected packages

Set up and organize an Nx monorepo, a shared repository for multiple applications and libraries. Define dependency boundaries, configure build caching, and use affected commands to focus CI tasks on projects impacted by changes.

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• Setting up a new Nx workspace
• Defining dependencies between applications and libraries
• Running CI tasks only for affected projects

Build and review C#/.NET APIs and business backends using concrete implementation patterns. Cover asynchronous operations, service dependencies, database access, configuration, caching, and tests to structure application code and examine quality and performance issues.

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• Designing a new .NET Web API
• Reviewing asynchronous C# code
• Improving database access and caching