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Matches for “distributed systems”

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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
Fundamentals Dec 20, 2021 Architect

Understanding Distributed Systems: Zookeeper, 2PC/3PC, Consensus Algorithms, CAP and BASE Theories

This article explains the evolution from centralized to distributed architectures, the role of Zookeeper in solving consistency problems, the mechanics and drawbacks of 2‑phase and 3‑phase commits, and key consensus algorithms such as Paxos, Raft, ZAB, as well as CAP and BASE theories that guide practical system design.

Distributed SystemsBASE theoryCAP theoremZookeeper2PC3PCconsensus algorithms
Fundamentals Dec 9, 2021 Architects Research Society

Key Challenges in Designing Distributed Systems

Designing a distributed system involves overcoming major challenges such as heterogeneity, transparency, openness, concurrency, security, scalability, and fault tolerance, each of which must be addressed to build a reliable, extensible, and performant system.

distributed systemsscalabilityconcurrencyfault tolerancesecurityheterogeneitytransparency
Fundamentals Nov 26, 2021 IT Architects Alliance

Understanding Mutual Exclusion and Idempotency in Distributed Systems: Locks, Implementations, and GTIS

This article explains the challenges of mutual exclusion and idempotency in distributed environments, compares thread‑level and process‑level solutions, describes the principles and typical implementations of distributed locks (Zookeeper, Redis, Tair, Cerberus), and introduces GTIS as a reliable idempotency framework.

JavaconcurrencyredisZookeeperdistributed lockidempotencymutual exclusion
Fundamentals Nov 19, 2021 Java Architect Essentials

A Comprehensive Guide to Learning Distributed Systems

This article provides a thorough overview of distributed systems, explaining their definition, core concepts such as partition and replication, key challenges, essential characteristics, typical components and protocols, a practical request flow example, and a curated list of real‑world implementations to help readers build a solid learning roadmap.

distributed systemssystem architecturescalabilityfault tolerancereplicationconsistencypartition
Backend Development Oct 31, 2021 Architecture Digest

Why Resource Isolation Matters and Common Isolation Techniques in Distributed Systems

The article explains the importance of isolating resources such as CPU, network, and disk in distributed architectures, describes thread, process, cluster, data‑read/write, static, and crawler isolation methods, and provides concrete code examples and best‑practice recommendations for backend developers.

backendDistributed Systemsmicroservicesresource isolationthread isolationprocess isolation
Fundamentals Oct 18, 2021 Java Architect Essentials

Fundamentals of Distributed Systems: Models, Replication, Consistency, and Protocols

This article introduces core concepts of distributed systems, including node and replica models, various consistency levels, data distribution strategies, lease and quorum mechanisms, replica control protocols such as primary‑secondary, two‑phase commit, MVCC, Paxos, and the CAP theorem, providing a comprehensive overview for architects.

distributed systemsCAP theoremreplicationconsistencyconsensus
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