About this page

(Re)Introducing Edgestore - Dropbox

https://dropbox.tech/infrastructure/reintroducing-edgestore

“Edgestore is the metadata store that powers many internal and external Dropbox services and products. We first talked about Edgestore in late 2013 and needless to say, much has happened since. In this post, we give a high-level overview of the motivation behind Edgestore, its architecture, salient...” (from the page’s text)

Topic: Technology
Quality: Not rated yet
Language: English
Text on page: 8,821 characters
Page size: 52 kB
Answered: OK (200), HTML
Last read: 8 Jul 2025
In our index since: 8 Jul 2025
Safe search: Not checked yet
Links to it: 8 links from 1 site

Tools for this page

Other sites that can tell you more. Plain links: we don't track where you go.

About the site

Domain owner ICANN registration lookup
Certificates certificate transparency, subdomains
Safety check Safe Browsing status
Trackers The Markup's Blacklight
Is it down? for everyone, or just you

Discussions

Hacker News stories linking here
Reddit posts from this site
Wikipedia articles mentioning the site

For web makers

PageSpeed Lighthouse report
HTML validator W3C
Accessibility WAVE by WebAIM
Security headers

Who links to it

https://dropbox.tech/infrastructure/alki--or-how-we-learned-to-stop-worrying-and-love-cold-metadata “Edgestore”
https://dropbox.tech/infrastructure/meet-chrono-our-scalable-consistent-metadata-caching-solution “database layer”
https://dropbox.tech/infrastructure/covid-19-one-year-later “Edgestore”
https://dropbox.tech/infrastructure/disaster-readiness-test-failover-blackhole-sjc “E”
https://dropbox.tech/infrastructure/sixth-generation-server-hardware “think”
https://dropbox.tech/application/speeding-up-a-git-monorepo-at-dropbox-with--200-lines-of-code “Edgestore”
https://dropbox.tech/machine-learning/optimizing-payments-with-machine-learning “Edgestore”
https://dropbox.tech/machine-learning/cannes--how-ml-saves-us--1-7m-a-year-on-document-previews “Edgestore”

“Not rated yet” and similar notes are shown on purpose: we say what we haven't measured, so the page doesn't look emptier or better than it is.