BestHub
Sign in
Tagged articles
19 articles
Page 1 of 1
Cognitive Technology Team
Cognitive Technology Team
Jun 21, 2025 · Fundamentals

Understanding Faults, Failures, and Fault Tolerance in Distributed Systems

This tutorial explains the definitions of faults and failures in distributed systems, explores their types and root causes, and presents fault‑tolerance mechanisms such as replication, checkpointing, redundancy, error detection, load balancing, and consensus algorithms to build resilient architectures.

Distributed Systemsconsensus algorithmsdata replication
0 likes · 10 min read
Understanding Faults, Failures, and Fault Tolerance in Distributed Systems
ITPUB
ITPUB
Mar 14, 2023 · Fundamentals

Master Distributed Systems: CAP, BASE, Locks, Transactions, Paxos & Raft

This comprehensive guide explores core distributed system concepts—including the CAP theorem and its trade‑offs, BASE consistency, various distributed lock strategies, multiple transaction patterns such as 2PC, 3PC, TCC and Seata, as well as consensus algorithms Paxos and Raft, while also covering idempotency and rate‑limiting techniques.

CAP theoremDistributed SystemsDistributed Transactions
0 likes · 29 min read
Master Distributed Systems: CAP, BASE, Locks, Transactions, Paxos & Raft
dbaplus Community
dbaplus Community
Nov 7, 2021 · Databases

Why Distributed Databases Matter: From Early DBMS to Modern NewSQL

This article traces the evolution of database systems—from the first network and hierarchical models through relational databases, NoSQL sharding, and finally modern distributed SQL—explaining why distributed databases emerged, how they handle data distribution, consistency, SQL-to‑KV mapping, and transaction challenges.

NewSQLSQL to KVconsensus algorithms
0 likes · 16 min read
Why Distributed Databases Matter: From Early DBMS to Modern NewSQL
IT Architects Alliance
IT Architects Alliance
Sep 6, 2021 · Databases

Comprehensive Overview of Data Models, Storage Engines, Transactions, Consistency, and Replication in Modern Databases

This article provides a detailed summary of database concepts including data models (relational, document, graph), storage engine architectures (page‑oriented B‑tree, log‑structured LSM), transaction mechanisms, isolation levels, distributed transaction protocols, partitioning strategies, indexing, consistency models, and consensus algorithms such as Lamport timestamps and Raft.

ConsistencyData ModelsStorage Engines
0 likes · 29 min read
Comprehensive Overview of Data Models, Storage Engines, Transactions, Consistency, and Replication in Modern Databases
Wukong Talks Architecture
Wukong Talks Architecture
Mar 18, 2021 · Fundamentals

Understanding Distributed Theory and Algorithms: Importance, Core Concepts, and Learning Path

This article explains why distributed theory and algorithms are crucial for architects, outlines the four foundational theories and eight key protocols, discusses their four evaluation dimensions, and provides a step‑by‑step learning roadmap illustrated with stories and practical examples.

CAP theoremConsistencyDistributed Systems
0 likes · 10 min read
Understanding Distributed Theory and Algorithms: Importance, Core Concepts, and Learning Path
Xiaokun's Architecture Exploration Notes
Xiaokun's Architecture Exploration Notes
May 29, 2020 · Fundamentals

How the Byzantine Generals Problem Shapes Modern Distributed Consensus

This article explains the Byzantine Generals Problem, maps its concepts to distributed consensus, distinguishes consensus from consistency, outlines oral‑message and signed‑message solutions, and analyzes their applicability and limitations in fault‑tolerant distributed systems.

Byzantine Generalsconsensus algorithmsdistributed consensus
0 likes · 21 min read
How the Byzantine Generals Problem Shapes Modern Distributed Consensus
21CTO
21CTO
Oct 11, 2019 · Fundamentals

Mastering Distributed Architecture: From Single‑Node to Consensus Algorithms

This article walks through the evolution of distributed architectures, detailing single‑node, tiered services, caching, clustering, read/write splitting, CAP and BASE theories, Paxos consensus, and Zookeeper's ZAB protocol, providing a comprehensive guide for building resilient large‑scale systems.

CAP theoremPaxosZooKeeper
0 likes · 17 min read
Mastering Distributed Architecture: From Single‑Node to Consensus Algorithms
JD Retail Technology
JD Retail Technology
Jul 31, 2019 · Fundamentals

Consistency Levels and Consensus Algorithms: Paxos, ZAB, and Raft

This article explains distributed data consistency concepts, the CAP theorem, various consistency levels, and provides detailed overviews of three major consensus algorithms—Paxos, ZAB, and Raft—including their mechanisms, roles, and practical applications such as in CB‑SQL.

Distributed SystemsPaxosRaft
0 likes · 18 min read
Consistency Levels and Consensus Algorithms: Paxos, ZAB, and Raft
21CTO
21CTO
Jan 16, 2018 · Fundamentals

Why Distributed Consensus Is So Hard: From CAP to Byzantine Fault Tolerance

Distributed systems rely on consensus to ensure consistent results, but achieving it faces fundamental challenges such as network unreliability, node failures, and trade‑offs captured by the CAP theorem, FLP impossibility, and various algorithms like Paxos, Raft, and Byzantine Fault Tolerance, each balancing consistency, availability, and safety.

Byzantine Fault ToleranceCAP theoremDistributed Systems
0 likes · 26 min read
Why Distributed Consensus Is So Hard: From CAP to Byzantine Fault Tolerance
Architecture Digest
Architecture Digest
Jan 16, 2018 · Fundamentals

Consistency, Consensus, and Reliability in Distributed Systems

This article explains the core challenges of achieving consistency in distributed systems, describes consensus algorithms such as Paxos and Raft, discusses theoretical limits like the FLP impossibility and CAP theorem, and shows how trade‑offs among consistency, availability, and partition tolerance shape practical system design.

BlockchainCAP theoremConsistency
0 likes · 24 min read
Consistency, Consensus, and Reliability in Distributed Systems