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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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why distributed systems fundamentals matters — the common problem: Distributed bugs appear in production because partial failures were never considered.
- 2Core concepts in plain language: Partial failures, network partitions, replication, consistency models, consensus, leader election
- 3Going further: quorums, logical clocks, distributed coordination, CAP trade-offs, eventual consistency, conflict-free replicated data types
- 4Framework walkthrough: Back-of-the-Envelope Estimation, CAP / PACELC, Resilience Patterns
- 5Practical workflow, built live: A replication simulation showing consistency trade-offs and a written CAP/PACELC analysis.
- 6How to measure it: Throughput, p99 latency, Availability, Error budget consumption
- 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
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