AI in production: Roobits Events360
AI in production Data Engineering

AI in production: Roobits Events360

What would you do if you were writing an application which had to process one billion events per day?
Bartosz Mikulski
Bartosz Mikulski – 1 min read

This is one of the articles about "A.I. in production." It contains a story about a real company using A.I. in their products or building an MLOps tool.
This is NOT a sponsored content. I don't endorse the interviewed company and its products in any way. They don't endorse me either.

What would you do if you were writing an application which had to process one billion events per day? I would call Aayush Arora. He is an expert in Google Cloud and a co-founder of Roobits - a startup that pushes message queues to the limit.

Roobits software Events360 offers an SDK to collect events from mobile phone applications in real-time, sends them to the Cloud PubSub service, and allows the users to access them using BigQuery.

With Events360, businesses get real-time insights of their customers with a latency of 2-3 seconds. Events360 is optimized for Google Cloud and lets its customers cut the cost of using cloud services significantly.

With a highly scalable and robust pipeline, Events360 aims to solve any problem related to generating insights from high data volume.

Some of the use cases of this can be:

  1. Accurately attributing data from large marketing channels

  2. Developing a personalized website experience using real-time data.

  3. Ad offerings in real-time

  4. Developing Customer journeys

According to Aayush Arora, their solution is very cost-effective. Currently, Roobits is offering a one-week free trial to interested businesses who want to test their software.

Events360 automatically stores information such as the IP address, the page title, referrer, user agent, and the current timestamp. In addition to the automatically stored data, you can add up to 99 custom dimensions. Because of that, Roobits Events360 may be the right choice if you are processing time-series data about visitors to your website.

As usual, I asked Aayash Arora about a book recommendation. He says that both co-founders of Roobits followed “Disciplined Entrepreneurship” by heart because they are MIT Bootcamp graduates.

Older post

AI in production: Carta Healthcare

AI systems in healthcare

Newer post

What a data engineer can learn from The Unicorn Project?

Review of The Unicorn Project by Gene Kim

Related Posts

Data Engineering Software Craft

CUPID properties in data engineering

Does it make sense to use SOLID principles in data engineering? What about CUPID properties in data pipelines?
Published on: 10 Sep 2022

Software Engineering Data Engineering

How to add tests to existing code in data transformation pipelines

How data engineers can write tests for legacy code in their ETL pipelines without breaking the existing implementation
Published on: 30 Aug 2022

Data Engineering

Software engineering practices in data engineering and data science

How to produce high-quality software in data teams by applying software engineering practices to data science and data engineering
Published on: 20 Aug 2022