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001 Ai Topological Sort

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TLDR: Multi-Paxos - Consensus in Distributed Databases

Date: 2026-01-27 Source: https://arpitbhayani.me/blogs/multi-paxos

Overview

Distributed databases face an interesting challenge: how do you ensure that multiple servers scattered across different machines, data centers, or even continents agree on the order and outcome of database transactions? This is where consensus algorithms come into play.

Key Points

  • Distributed databases face an interesting challenge: how do you ensure that multiple database nodes scattered across different machines, data centers, or even continents agree on the order and outcome of database transactions?
  • Consensus in Distributed Databases: When you run a database on a single machine, transaction ordering is straightforward.
  • Key Terms and Concepts: Before diving into Paxos, here are some essential terms:
  • Intuition Behind Paxos: Before diving into the technical details, here is a real-world analogy.
001-ai-topological-sort.md
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002 Temporal Primer
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003 Rag Production
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004 Structure Of Llm Chat
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005 How Llms Work
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006 Monolith Is Distributed System
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007 Defensive Databases
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008 Bm25
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009 Join Algorithms
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010 Venting At Work
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011 Half Life
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012 Multi Paxos
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013 Mysql Replication Internals
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014 Bloom Filters
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016 Kafka Partitions
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017 Product Quantization
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018 Qkv Matrices
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019 Deleted Production
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020 How Llm Inference Works
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021 Blocking Queues
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022 Heartbeats In Distributed Systems
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023 Cassandra Writes
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024 Redis Replication
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033 Stay Relevant At Higher Salary Levels
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034 Why Consensus
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035 Database Deadlocks
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036 Cpu Cache Locality
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037 Eventual Consistency
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038 Dns Udp Tcp
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039 Masters
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041 Good Mentors Build People
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047 Dont Let Your Best Ideas Die In Silence
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048 Be Someone Others Want To Work With
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050 Biggest Lie Startups Tell Engineers
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051 Promotions Are Proactive Not Reactive
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053 No One Ships Alone
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054 Not Every Mistake Needs A Correction
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057 Experience Before Forming Opinion
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059 Worklog
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073 Shiny Object Syndrome In Tech
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074 3p
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075 Leverage The Equilibrium
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076 On Demand Container Loading In Aws Lambda
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077 Sql Has Problems We Can Fix Them Pipe Syntax In Sql
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078 Nanolog A Nanosecond Scale Logging System
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081 Know A Lot
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083 Negotiate The Offer
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084 Never Bad Mouth Your Ex Exployer
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085 Culture Fit
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087 Hiring Is Unfair
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088 Questions For Interviewers
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089 Collaboration Communication
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090 Out Of Vicious Interview Cycle
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091 Pitch Projects Not Ideas
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092 Read Design Docs
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093 Read Rca Docs
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095 Do Not Rely On Summaries
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097 Title Inflation
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098 Find Your Own Project
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100 Keep Yourself Unblocked
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101 Genetic Knapsack
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102 Pseudorandom Number Generation Lfsr
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103 How Indexes Work On Partitioned And Sharded Data
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104 Some Data Partitioning Strategies For Distributed Data Stores
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105 Data Partitioning
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106 Leaderless Replication
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107 Conflict Resolution
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108 Conflict Detection
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109 Multi Master Replication
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110 Monotonic Reads
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111 Read Your Write Consistency
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112 Handling Outages Master Replica
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113 Replication Formats
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114 Replication Strategies
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115 Master Replica Replication
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116 Durability
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117 Isolation
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118 Atomicity
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119 Consistency
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120 Architectures In Distributed Systems
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121 Mistaken Beliefs Of Distributed Systems
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129 String Interning Python
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144 Decipher Single Xor
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147 Rum
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160 Function Overloading
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163 Long Integers Python
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164 I Changed My Python
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168 Making Http Requests Using Netcat
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  • Paxos: Before diving into Multi-Paxos, let’s talk about the basic Paxos algorithm.
  • Paxos to Multi-Paxos: But databases need to agree on a sequence of values (a log of transactions).

    • Takeaway

    Multi-Paxos is a robust foundation for building distributed database transactions.