---
title: "Amazon DynamoDB - Paper Explained"
url: https://daily.dev/posts/amazon-dynamodb---paper-explained-axk0adyij
source_url: https://www.youtube.com/watch?v=LnqKfLcszEg
type: video:youtube
source: "Asli Engineering by Arpit Bhayani"
published: 2026-05-31T07:49:07.430Z
updated: 2026-05-31T09:16:46.068Z
tags: ["backend", "distributed-systems", "aws-dynamodb"]
reading_time: 93
upvotes: 0
comments: 0
language: en
---

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# Amazon DynamoDB - Paper Explained

**[Asli Engineering by Arpit Bhayani](https://daily.dev/sources/asli-engineering)** · 93 min read · 0 upvotes · 0 comments

## Summary

A deep technical breakdown of the Amazon DynamoDB paper, covering the database's core design goals of consistent single-digit millisecond performance at any scale. Topics include data partitioning and replication across availability zones using multi-Paxos consensus, leader election, write-ahead logging, and the metadata service architecture. The explanation covers how DynamoDB uses a distributed in-memory store (MemDS) with local router caching to avoid cascading failures, storage admission control via token buckets, read/write capacity units, and the throughput dilution problem that arises when hot partitions are split. Real-world scale numbers from Amazon Prime Day 2021 (89.2M requests/second) are used to illustrate the system's capabilities.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=LnqKfLcszEg>

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---

Tags: [#backend](https://daily.dev/tags/backend), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#aws-dynamodb](https://daily.dev/tags/aws-dynamodb)

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