Etsy processed over $13.2 billion in gross sales in 2024, connecting greater than 95 million consumers with 7.5 million sellers around the globe. With tens of millions of distinctive listings and excessive purchaser intent, it’s one of the lively area of interest marketplaces on the web.
To assist this scale, Etsy depends on a tech stack constructed for velocity, stability, and deep personalization. From superior search to real-time suggestions, each a part of its infrastructure is geared towards seamless buyer-seller interactions and fast function deployment.
When you’re planning to construct an identical platform, finding out Etsy’s method can save months of trial and error. This text breaks down the applied sciences and techniques powering Etsy — and exhibits how one can construct a high-performance market with out ranging from scratch.

Frontend applied sciences of Etsy Tech Stack
The frontend of Etsy tech stack is an amalgamation of a number of applied sciences that collectively create a fascinating and user-friendly interface.
ReactJS: Etsy makes use of ReactJS, a JavaScript library, for constructing consumer interfaces. ReactJS permits Etsy to construct a quick, easy, and scalable frontend, with elements which might be reusable, resulting in a constant feel and look throughout the platform. The digital DOM (Doc Object Mannequin) in ReactJS ensures a seamless consumer expertise by minimizing web page reloads.
Redux: Etsy tech stack additionally makes use of Redux, a predictable state container designed to assist JavaScript apps behave constantly throughout totally different environments. Redux makes it simpler to handle the state of the appliance, offering a single supply of fact, and permits for higher debugging and testing of the app.
Webpack: Webpack is one other instrument in Etsy’s frontend arsenal. It’s a module bundler for contemporary JavaScript purposes. Webpack compiles and bundles all of Etsy’s static belongings, corresponding to JavaScript and CSS information, optimizing them for efficiency.
Sass (Syntactically Superior Model Sheets): For styling, Etsy makes use of Sass, a CSS preprocessor that extends the language, including options that permit variables, capabilities, and extra, that are compiled into common CSS. This helps Etsy keep a constant and orderly fashion sheet.
JavaScript (ES6): Etsy makes use of the newest requirements of JavaScript, ES6, to put in writing clear and concise code. ES6 supplies new syntax for writing advanced purposes, together with courses and modules, which make it simpler to create and handle giant JavaScript codebases.
Google Tag Supervisor: GTM is used for monitoring and analytics. It permits Etsy to deploy and replace measurement tags on their web site and cellular apps with out main code modifications and app releases.
Backend applied sciences of Etsy Tech Stack
Etsy’s backend know-how stack is a well-rounded mixture of dependable and strong applied sciences that facilitate its operate as a large on-line market.
PHP: PHP kinds the spine of Etsy’s backend. As an open-source server-side scripting language, PHP is thought for its simplicity and velocity, making it a perfect alternative for Etsy’s backend. It’s primarily used to generate dynamic web page content material, accumulate type knowledge, and deal with cookies, amongst different duties.
Apache: Secondly, Etsy makes use of Apache, a free and open-source cross-platform net server software program. Apache is famend for its robustness, making it a well-liked alternative for high-volume web sites like Etsy. It’s liable for serving static content material to the shopper, dealing with SSL requests, and performing different server-side duties.
MySQL: MySQL is a relational database administration system based mostly on SQL (Structured Question Language). Etsy makes use of MySQL to retailer, retrieve and manipulate knowledge associated to its customers, merchandise, and transactions. Its scalability and excessive efficiency make it excellent for dealing with Etsy’s large-scale knowledge wants.
ElasticSearch: Etsy tech stack additionally makes use of ElasticSearch, a robust open-source search and analytics engine. It’s used for executing advanced searches that contain rating and grouping, full-text search, and geo-based search. Given the huge variety of merchandise on Etsy, ElasticSearch facilitates a fast and environment friendly discovery of merchandise.
Hadoop: Etsy makes use of Hadoop and Vertica for large knowledge. Hadoop is a framework that enables for the distributed processing of enormous knowledge units throughout clusters of computer systems. Vertica, then again, is a scalable grid-based, column-oriented database designed to handle giant, fast-growing volumes of knowledge and supply very quick question efficiency. These applied sciences permit Etsy to investigate and extract insights from their in depth knowledge, enhancing the general consumer expertise.
Via this mix of applied sciences, Etsy tech stack has a strong backend infrastructure that helps its large on-line market operations.

Infrastructure applied sciences of Etsy Tech Stack
Etsy’s tech stack is regularly evolving to satisfy the calls for of its on-line market. As a part of this evolution, Etsy migrated its service infrastructure to the cloud in 2018. This migration considerably improved their deployment course of and enabled them to deal with huge quantities of knowledge extra effectively.
Canary Lite: One of the crucial exceptional shifts in Etsy’s tech stack was the adoption of a canary deployment technique. In contrast to the earlier blue-green deployment technique, the canary technique rolls out modifications to a small subset of visitors earlier than switching over all visitors. This technique minimizes threat and permits for a extra managed monitoring of modifications.
Nonetheless, Etsy’s search system design had limitations that made canary rollouts difficult. To beat these limitations, Etsy’s search crew constructed a customized instrument referred to as “Canary Lite”. Regardless of not having a single load balancer or API endpoint for visitors routing, this instrument permits them to include a canary part into the deployment course of.
Vitess: One other important change in Etsy’s cloud infrastructure was the migration of their funds databases to a single sharded atmosphere managed by Vitess. The necessity for this variation was pressing, as two of their databases have been not vertically scalable, posing a excessive threat to their fee processing system.
The migration course of was accomplished in two phases, lowering the load on the first funds database by 60%. It was a difficult transition, requiring important modifications to the database and a singular method to knowledge sharding.
Etsy’s cloud infrastructure applied sciences, together with canary deployment methods, Vitess are vital to its knowledge administration and repair supply. They mirror a dedication to innovation and an ongoing effort to optimize efficiency and scalability.
Behind the handmade crafts and classic finds is a rigorously constructed tech stack that scales with demand, delivers quick customized experiences, and helps tens of millions of sellers.
The takeaway? A powerful market wants extra than simply a good suggestion — it wants the correct know-how to convey it to life.
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