Powering Ecommerce with PythonSilicon Valley Python Workshop

June 21, 2017

We believe that great design lives and thrives in the hands of

independent artists that people do not have access to through

traditional retailers. Minted uses technology to allow consumers to

discover great creative talent, making Minted a place where

artists can learn, gain exposure, and build their businesses.

Engineering at Minted

Community &Product Launch E-commerce

Fulfillment Operations

Marketing

Growth

New ProductDevelopment

Digital Products

Front End

PlatformDevOps

QAIT

E-commerce functions at Minted● Site Topology

○ Navigation○ Metadata

● Content & Marketing○ Brand content & assets○ Blog○ Marketing Landing Pages○ Email & SEM

● Discovery○ Product Catalog○ Search○ SEO○ On-site personalization

● Product Customization○ Product Business Object and UI○ Rendering Engine○ Users’ saved customization

● Shopping Cart○ Cart/Checkout○ Payment○ Promotions & Credits○ Shipping & Delivery

● Fulfillment Operations○ Order Object○ Returns, reprints and re-orders

Demo

Our Growing Technology Stack

● Pre 2015○ PHP/Apache○ Nginx / uWSGI / Bottle / Backbone / Mako

● Post 2015○ React.js Isomorphic Renderer○ Nginx / uWSGI / Bottle

WEB APP BACKENDS

● RDBMS (monolithic), Solr, Memcached

● RDBMS (multiple), Solr, Memcached, Elasticsearch, PostgreSQL, Neo4j, Streaming Pipelines + EMR

DEPLOYMENT

Monolithic, scheduled ------------> Containerized, as required

Architectural investments in our tech stack

RESTful APIs

Service Oriented Architecture

Business Objects -- Identifying and implementing objects from the perspective of clients. Abstract away persistence technology.

Cache-ing

BACKEND

The only two hard things in Computer Science.

Isomorphic Rendering

Edge-side cache-ability

GraphQL -- A client-oriented query language for the backends & APIs.

WEB APP

Architectural investments in our tech stack

is growingSCALE for SPEED / SITE TRAFFIC

SCALE BUSINESS PROCESSES & SLAs

SCALE DEVELOPMENT

SCALE for GROWTH OPPORTUNITY

Python

Python

Python

Python

But not really.

Time to market.Fantastic Machine Learning / AI community

Great Integrations, Celery.

Time to market.Popularity.

The two ElephantsStatic Typing

● Code readability/debugging● Higher burden for automated tests.

The GIL

● Can scale for IO/Network bound tasks● Not so much for cpu bound tasks.

Minted E-commerce (mostly)

Typing module in 3.5?

Q&A