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IT: System Design & Architecture

Distributed Systems Basics: Consistency, Consensus and CAP

Distributed Systems Fundamentals: leave with a replication simulation showing consistency trade-offs and a written CAP/PACELC analysis.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpIT: SYSTEM DESIGN & ARCHITECTUREDistributedSystems Basics:Consistency,Consensus andCAPFREE WEBINAR TOPIC · VOTE

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What this session would cover

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  1. 1Why distributed systems fundamentals matters — the common problem: Distributed bugs appear in production because partial failures were never considered.
  2. 2Core concepts in plain language: Partial failures, network partitions, replication, consistency models, consensus, leader election
  3. 3Going further: quorums, logical clocks, distributed coordination, CAP trade-offs, eventual consistency, conflict-free replicated data types
  4. 4Framework walkthrough: Back-of-the-Envelope Estimation, CAP / PACELC, Resilience Patterns
  5. 5Practical workflow, built live: A replication simulation showing consistency trade-offs and a written CAP/PACELC analysis.
  6. 6How to measure it: Throughput, p99 latency, Availability, Error budget consumption
  7. 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation

Who it's for

  • • Students and freshers entering tech
  • • Working developers and engineers
  • • Tech leads and architects

You'd leave with

  • A replication simulation showing consistency trade-offs and a written CAP/PACELC analysis.
  • A working understanding of Back-of-the-Envelope Estimation and CAP / PACELC
  • A short list of measures to track: Throughput, p99 latency, Availability