One of Wallaroo’s core differentiators was to allow customers to continue using their preferred model development tools and then deploy into any destination environment. Wallaroo however didn't have a simple way of deploying this software to customer-controlled environments without an extreme amount of support from their internal teams. As a seed-stage company, Wallaroo knew that to properly grow and scale, they would have to figure out a way to operationalize the delivery of their software to a multitude of customer environments.
As Younes Amar, Head of Product at Wallaroo, recalls, "We needed to simplify the process of installing Wallaroo into different customer environments. It was important to allow our customers, data scientists and ML engineers, to realize the value of our product without dealing with the complexity of installing it or integrating it in their environment."
Another critical concern for Wallaroo was building a community edition of their platform that data scientists could use for free while evaluating if the platform was robust enough for their demands. A community edition would go a long way towards building trust among their prospective users and demonstrate the value that Wallaroo’s platform delivered.
This, however, would have to wait. Wallaroo couldn't devote valuable resources towards a community edition until they had a simple, scalable solution for deployment and support.
“The way I would quantify the return on investment with Replicated was that we could double our product development velocity without running into scale inefficiencies or problems when it comes to delivering our products to customers”
Younes Amar,
VP of Product