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Backend Development Feb 16, 2022 Code Ape Tech Column

Cache Design and Optimization Strategies for Distributed Systems

This article explains the benefits, costs, and various update, penetration, hole, avalanche, and hot‑key optimization techniques for caches in high‑concurrency distributed systems, providing practical guidance on choosing appropriate strategies such as LRU/LFU/FIFO, timeout eviction, proactive updates, Bloom filters, and concurrency‑aware batch operations.

distributed systemsperformance optimizationRediscachingcache consistencycache penetrationcache eviction

Fundamentals Feb 13, 2022 Code Ape Tech Column

30 Architectural Principles for Distributed Systems and Software Design

This article presents thirty concise architectural principles covering simplicity, iterative development, automation, scalability, concurrency, distributed system design, user experience, and practical trade‑offs, offering a comprehensive guide for architects and engineers to build robust, maintainable software.

distributed systemsuser experiencearchitecturescalabilityconcurrencysoftware designprinciples

Backend Development Feb 11, 2022 IT Architects Alliance

Cache Design and Optimization Strategies in High-Concurrency Distributed Systems

The article discusses the importance of caching in high‑concurrency distributed systems, outlining its benefits and costs, various update policies such as LRU/LFU/FIFO, expiration, active refresh, and advanced optimizations like penetration protection, hole mitigation, avalanche prevention, and hot‑key rebuild techniques.

Distributed Systemsperformance optimizationcachingcache avalanchecache penetrationcache eviction

Backend Development Feb 11, 2022 Top Architect

Cache Design and Optimization Strategies for High‑Concurrency Distributed Systems

The article explains why caching is essential in high‑concurrency distributed systems, analyzes its benefits and costs, and then details various cache update, penetration, no‑hole, avalanche, and hot‑key rebuilding techniques, offering practical guidance for backend engineers.

distributed systemscachingbackend optimizationcache avalanchecache penetrationcache eviction

Backend Development Jan 30, 2022 Architecture Digest

Cache Design and Optimization Strategies in High‑Concurrency Distributed Systems

This article examines the role of caching in high‑concurrency distributed systems, outlining its performance benefits and associated costs, and detailing various cache‑update strategies—including LRU/LFU/FIFO, expiration, active refresh, Bloom‑filter protection, and solutions for penetration, avalanche, hot‑key rebuild, and the “no‑bottom‑hole” problem.

distributed systemsperformancecachinghigh concurrencyBloom filtercache eviction

Fundamentals Jan 23, 2022 Tencent Cloud Developer

Understanding Paxos and Consensus Algorithms in Distributed Systems

Understanding Paxos and other consensus algorithms, this article explains how crash‑fault‑tolerant protocols like Paxos, Raft, and ZAB achieve sequential consistency through two‑phase voting, contrasts them with Byzantine‑fault‑tolerant methods, and details Multi‑Paxos optimizations, leader election, and practical trade‑offs for distributed systems.

Distributed SystemsRaftConsensus AlgorithmByzantine Fault ToleranceCrash Fault ToleranceMulti-PaxosPaxos

Backend Development Jan 22, 2022 Architecture Digest

Implementation Schemes and Design Trade‑offs of Delayed Messages in Distributed Messaging Systems

This article surveys common delayed‑message solutions in distributed messaging, compares implementations based on external storage (MySQL, RocksDB, Redis) and built‑in MQ features (RocketMQ, Pulsar, QMQ), and analyzes their advantages, disadvantages, and design considerations.

backenddistributed systemsmessage queueRocketMQPulsardelayed messagingQMQ

Backend Development Jan 18, 2022 IT Architects Alliance

Implementation Strategies for Delayed (Scheduled) Messages in Distributed Systems

This article examines common delayed (scheduled) message implementations in distributed systems, comparing external storage approaches using databases, RocksDB, and Redis, as well as built-in solutions in open-source MQs like RocketMQ, Pulsar, and QMQ, and discusses their advantages, drawbacks, and design considerations.

distributed systemsRedisMessage QueueRocketMQRocksDBdelayed messages

Backend Development Jan 13, 2022 Tencent Cloud Developer

Strategies for Ensuring Cache Consistency in Distributed Systems

The article reviews major cache‑consistency strategies—Cache‑Aside, Read‑Through, Write‑Through, and Write‑Behind—detailing their performance and consistency trade‑offs, discusses compensation techniques such as delayed double‑delete and MySQL binlog‑based incremental parsing (DTS) for reliable deletion and HA, and advises selecting the appropriate approach based on specific business requirements.

Distributed SystemsSystem Architecturedatabase optimizationcache consistencycaching strategies

Backend Development Jan 4, 2022 DeWu Technology

Best Practices for Redis Cache Consistency in Distributed Systems

In distributed e‑commerce systems, achieving Redis cache consistency requires invalidating stale entries via reliable DB change detection (e.g., binlog listeners) and optionally using versioned writes that only update when newer, combined with safeguards like TTLs, double deletes, and business‑specific designs to mitigate race conditions and ensure eventual consistency.

Distributed SystemsBackend DevelopmentRedisBest PracticesCache Consistency

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