0 views collected around this technical thread.
This article explains the various PHP caching layers—including OPcode, data, page, and HTTP caching—provides configuration examples, code snippets for file, Memcached, and Redis caches, and outlines best practices and invalidation strategies to improve web application performance.
This article explains various server‑side caching strategies—including full‑page static caching, fragment caching, data and query caching, time‑based and content‑change invalidation, as well as memory caches like Memcached and Redis, Apache modules, APC, and opcode caches—providing PHP code examples for each method.
This article explains why PHP caching is essential for web performance and details three main techniques—page caching with output buffering, data caching using extensions like Memcached or APCu, and file caching with file I/O functions—plus best practices for updates, expiration, and avoiding cache penetration.
This article explains the core design goals, sharding strategies, replication models, communication protocols, cache selection, and monitoring techniques needed to build high‑performance, highly available, and scalable distributed cache systems for large‑scale internet applications.
This article provides a comprehensive overview of Redis, covering its common application scenarios, detailed comparisons with Memcached, internal data structures, implementation details, and practical usage patterns such as caching, leaderboards, counters, and real‑time analytics for modern backend systems.
This guide explains why Nginx proxying to an HTTP backend causes the browser URL to change, how to fix the redirect by using HTTPS, and how to achieve session consistency across multiple Tomcat instances by integrating Memcached for shared session storage.
Memcached 1.6.18 has been released, bringing extensive fixes and enhancements to the proxy mode, extstore disk flushing, meta‑protocol changes, and numerous core and backend improvements, including signal handling, thread naming, Lua debugging, and clang‑15 build compatibility.
This article explains why an Nginx reverse‑proxy configuration that proxies HTTPS requests to a backend server causes the browser URL to change, how to fix the redirect by using HTTPS in the proxy, and how to achieve session consistency across multiple Tomcat instances by deploying Memcached with Docker and adjusting Tomcat’s session manager.
The article explains why interviewers probe the implementation details of backend components such as Redis, HashMap, and Memcached, illustrates common interview questions, and shows how mastering the underlying data structures, algorithms, and memory‑allocation mechanisms can improve both interview performance and real‑world problem solving.
This guide explains caching fundamentals, purposes, and optimal use cases, details hit rates and eviction policies such as FIFO, LRU, LFU, TTL/TTI, compares client‑side (HTTP, browser) and server‑side caches (CDN, Redis, Memcached), explores multi‑level architectures, common pitfalls like avalanche, penetration and breakdown, and best‑practice strategies including pre‑warming, update patterns, and consistency management.
This article examines the characteristics of Redis and Memcached, identifies typical design mistakes such as consistency, cache avalanche, hot‑key, penetration and breakdown issues, and presents practical mitigation strategies—including consistent hashing, binlog‑driven cache invalidation, distributed locking, and multi‑node replication—to help backend engineers build reliable high‑concurrency cache layers.
This article compares Redis, Memcached, and MongoDB, outlining each system's strengths and weaknesses, performance characteristics, storage capabilities, availability, reliability, consistency, data analysis features, and typical application scenarios to help developers choose the appropriate NoSQL solution.
This article examines the characteristics of Redis and Memcached as distributed cache solutions, outlines common design pitfalls such as consistency, cache penetration, breakdown, avalanche, and hot‑key issues, and provides practical strategies—including consistent hashing, binlog‑driven invalidation, message‑queue indexing, and lock mechanisms—to build reliable and high‑performance caching layers in backend systems.
This article provides an in‑depth technical overview of how Pinterest scales its distributed cache layer using Memcached and Mcrouter on AWS, covering architecture, performance, high availability, load balancing, trade‑offs, and future directions.
This article systematically compares Redis and Memcached across thread models, supported data structures, eviction strategies, pipelining, transactions, persistence, high‑availability mechanisms, and clustering, helping developers choose the most suitable in‑memory database for their specific workload requirements.
This article systematically compares Redis and Memcached across thread models, data structures, eviction policies, pipelining and transactions, persistence, high availability, and clustering, helping developers choose the most suitable in‑memory database for their specific business requirements.
This article explains the MySQL Memcached API, its evolution from MySQL 5.6 to 8.0, demonstrates how to install the plugin, configure tables, and perform batch and range key retrievals with code examples, highlighting suitable use cases and performance benefits.
This tutorial walks through creating a lightweight Memcached client in Node.js, covering cluster routing with consistent hashing, low‑level TCP communication, a reusable connection‑pool implementation, and a custom protocol for get operations, complete with practical code examples.
This article compares Redis and Memcached across network I/O models, supported data structures, memory management mechanisms, persistence options, consistency guarantees, and clustering approaches, highlighting the strengths and trade‑offs of each in‑memory data store.
This article explains various PHP caching techniques—including full‑page static generation, partial page fragments, data and query caching, time‑based and content‑change strategies, as well as memory caches like Memcached, Apache cache settings, APC extension, and opcode caching—providing code examples and practical guidance to improve web performance.