RED

Building an Ad Tech product for one of the top US digital agencies

image of project for Red Interactive Agency
logo

The client

RED is an award-winning digital creative agency whose mission is to develop marketing that people love and use. Founded in 1999, RED boasts a team of 100+ people and has collaborated with some of the world’s most renowned brands such as ESPN, Disney, Budweiser and Microsoft.

Country

USA

Industry

AdTech/MarTech

Type

Digital agency

The product

Velvet is a platrom that streamlines the process of building, managing, approving, and publishing digital ads.

Technologies

Python

Django

Sanic

NodeJS

JavaScript

React

AWS

Docker

Swarm

The challenge

After years of supporting the marketing needs of its clients across the digital landscape, RED set out on a mission to gain an advantage over its competition by improving the process of building, managing, approving, and publishing digital ads. To do that, RED came up with a creative management platform called Velvet. All they needed was a skilled team of Python experts to make it a reality— Sunscrapers was ready to help.

Technology

Velvet is a SaaS web-based application focused on modularity and scalability. The entire project consists of one central, monolithic application and a number of smaller microservices.

Each part of the system is containerized using Docker in order to achieve reproducible environments, predictable deployments and ease of scalability. The main application backend consists of:

  • A web interface
  • Several relational databases
  • A number of non-relational data stores used for caching and brokering messages
  • A REST API
  • An asynchronous task worker
  • A background task scheduler

Every task that is deemed as taking too long to live inside the request-response cycle is queued for a task worker. Similarly, tasks that must be run at regular intervals (like data ingress for external sources) are queued for a worker by a scheduler service.

The major part of the engineering effort lies in building an open data model for Ad units. The main feature of Velvet allows users to define data schemas using a user-friendly interface and then populate and manipulate those schemas as easily as if they were defined in a relational manner for fast Ad building, approval, and publishing.

The most challenging part of the backend development is striving for technical excellence and system stability, all the while providing new features that meet the business goals of Velvet users.

Apart from the main monolithic module, several modules are built as microservices and integrated tightly with the entire system. Microservices are used where technologies other than Django are required for performance reasons (like Sanic or Node), and where independent scalability is required because of the amount of traffic those services are handling (up to 10M requests per day). Also, because some parts of the architecture need to live on machines isolated from the Internet behind a VPN for security reasons.

Duration

2016 - 2021

The solution

RED needed an experienced Python engineer to join their existing team and work remotely under the VP of Engineering. We assigned one of our senior full stack engineers who, starting mostly with backend assignments, soon contributed to the frontend and infrastructure parts of the project as well. In time, he became the technical leader of Velvet. The platform was officially launched in 2017 and has since become a huge success among its customers.

Engagement Type

Dedicated development teams

Expertise

Fullstack web development

DevOps

Results

Working together non-stop since 2016

6 major brands have used or are currently using the product

Zach Glass

VP of Operations

Sunscrapers has played a critical role in the development of Velvet, providing us with unmatched talent, support, guidance, and stability over the years. Not only do they complete the work that’s asked of them to the highest standard, they help define what that work should be, how best to approach it.

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Selected work

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