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Fundamentals Apr 24, 2021 Top Architect

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

This article provides a comprehensive overview of distributed system fundamentals, covering node models, replica concepts, various consistency levels, data distribution strategies, lease-based caching, quorum mechanisms, two‑phase commit, MVCC, Paxos consensus, and the CAP theorem, illustrating each with practical examples and diagrams.

Distributed SystemsCAP theoremreplicationconsistencyconsensusPaxosquorumlease

Backend Development Mar 29, 2021 macrozheng

Why Simple CRUD Apps Need Distributed Systems: From Scaling to CAP Theory

From a simple CRUD application to a robust distributed architecture, this article explains why vertical scaling hits limits, how horizontal scaling and system partitioning work, the goals of transparency, scalability and reliability, and key concepts such as sharding, load balancing, CAP and BASE theories.

distributed systemsbackend architecturescalabilityCAP theoremload balancing

Fundamentals Mar 18, 2021 Full-Stack Internet Architecture

Understanding Distributed Systems: Scaling, Partitioning, and CAP Theory

This article explains the fundamentals of distributed systems, covering why they arise, vertical and horizontal scaling, system splitting, sharding and partitioning strategies, load balancing, replication, the CAP theorem, and the BASE model, all illustrated with practical examples and code snippets.

Distributed SystemsscalabilityCAP theorempartitioning

Fundamentals Jan 29, 2021 Code Ape Tech Column

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

This article provides a comprehensive overview of distributed system fundamentals, covering core concepts such as nodes, replicas, consistency models, data distribution strategies, lease and quorum mechanisms, two‑phase commit, MVCC, Paxos, and the CAP theorem, along with practical considerations for designing robust, scalable services.

distributed systemsCAP theoremreplicationconsistencyconsensusMVCCPaxos

Fundamentals Jan 26, 2021 Architects' Tech Alliance

Fundamentals of Distributed Systems: Models, Replicas, Consistency, and Core Protocols

This article provides a comprehensive overview of distributed system fundamentals, covering system models, replica concepts, consistency levels, performance metrics, data distribution strategies, basic replica protocols, lease mechanisms, quorum, logging, MVCC, Paxos, and the CAP theorem.

distributed systemsCAP theoremreplicationconsistencyconsensus

Operations Jan 20, 2021 Efficient Ops

Log vs Network Data: Which Wins Full‑Link Monitoring in Modern Distributed Systems?

With the shift from monolithic to distributed architectures, this article compares log‑based and network‑data‑based monitoring across data sources, precision, monitoring paths, and implementation methods, concluding that network‑data monitoring offers superior real‑time insight, lower cost, and faster deployment for full‑link observability.

Monitoringmicroserviceslog analysisnetwork datafull-link

Fundamentals Dec 30, 2020 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 requiring careful consideration of hardware, software, network, and management aspects to build robust, scalable, and secure architectures.

distributed systemsscalabilitysystem designfault tolerancesecurity

Fundamentals Dec 30, 2020 Wukong Talks Architecture

Understanding CAP, ACID, and BASE Theories Through the Metaphor of Tai Chi and Distributed Systems

This article uses the story of Tai Chi from the novel *The Heaven Sword and Dragon Saber* to explain the CAP theorem, ACID properties, BASE theory, and two‑phase commit in distributed systems, illustrating how consistency, availability, and partition tolerance correspond to the hard and soft aspects of Tai Chi.

Distributed SystemsConsistencyACIDBASEAvailabilityCAPTwo-Phase Commit

Fundamentals Dec 19, 2020 Architects Research Society

Understanding Consistency in Distributed Systems: Strong vs Weak, CAP Theorem, 2PC, 3PC, and Paxos

This article explains the concept of consistency in distributed systems, distinguishes strong and weak consistency, outlines common use cases and challenges, introduces the CAP theorem, and details several consensus protocols including 2‑phase commit, 3‑phase commit, and the Paxos algorithm.

distributed systemsCAP theorem2PCconsistencyPaxos3PC

Backend Development Dec 13, 2020 Full-Stack Internet Architecture

Essential Backend Development Concepts: Distributed Systems, Caching, Asynchronous Architecture, Load Balancing, Microservices, High Availability, Security, and Big Data

This article provides a comprehensive overview of core backend engineering topics—including distributed architecture, vertical and horizontal scaling, cache strategies, asynchronous messaging, load‑balancing techniques, microservice design, high‑availability patterns, security mechanisms, and big‑data processing frameworks—aimed at helping fresh graduates and junior developers build interview‑ready knowledge.

backendmicroserviceshigh-availabilitycachingsecuritydistributed

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