11 docs tagged with "caching"

API Gateway for DVA-C02. REST API vs HTTP API vs WebSocket API, integration types, authorizers (Cognito, Lambda), deployment stages, caching, throttling, CORS, canary deployments, and usage plans.

Amazon CloudFront for DVA-C02. Origins, distributions, cache behaviors, TTL, signed URLs vs signed cookies, OAC/OAI for S3, Lambda@Edge, CloudFront Functions, and HTTPS enforcement.

Amazon ElastiCache for DVA-C02. Redis vs Memcached comparison, caching strategies (lazy loading, write-through, session store), cluster modes, Multi-AZ, and common exam patterns.

A comprehensive guide to Bloom filters, covering probabilistic data structures, implementation details, use cases, interview questions, and real-world applications.

In-depth guide to caching strategies including cache-aside, write-through, write-behind, eviction policies, cache stampede prevention, hotkeys, Redis data structures, and multi-level caching.

How DNS works end-to-end — resolution chain, record types, caching, TTL, DNSSEC, and common DNS patterns.

A complete guide to HTTP — from beginner fundamentals to senior-level protocol internals. Covers methods, status codes, headers, caching, TLS, CORS, and HTTP/1.1 vs HTTP/2 vs HTTP/3 evolution.

Comprehensive deep dive into Nginx internals — Master-Worker architecture, epoll/kqueue event loop, thread pools, connection lifecycle, upstream proxying, load balancing, SSL/TLS termination, HTTP/2, caching, rate limiting, and production tuning.

Deep dive into Redis Lua script execution: solving data corruption between batch imports and point updates, production-grade distributed lock release, Redis TIME as a monotonic cluster clock, cooperative pod handovers, and the network RTT math.

Strategies for handling high read QPS including caching layers, read replicas, CDN, CQRS, and database indexing. Covers Redis patterns, cache invalidation, consistency models, fan-out strategies, and senior-level deep dives into coherence, hot keys, and tail latency.

Comprehensive breakdown of failure modes when applications scale from a single server to millions of users — session traps, connection pool exhaustion, replication lag, cache stampede, synchronous HTTP bottlenecks, AI vector scaling, and the architectural judgment rubric based on JavaScript Mastery fundamentals.