Recommendo is a leading Recommendation Network designed to get and send recommendations to friends. It is used to share discoveries and ask friends for one to one advice on various matters. The strength of the system is the quality of the recommendations that travel through the system. The quality of the recommendations makes it a platform of choice for companies who would like to spread sincere recommendations than just stranger ratings.

Working of Recommendo

In order to increase scalability and developer velocity, Recommendo made the decision to adopt the Typesafe Reactive Platform along with Lift Framework thus providing them with the power and security they required. With extreme scalability requirements and extreme responsiveness required Recommendo required a solution which would be resilient, scalable and responsive. They also needed a team of experienced developers to build the product ground up who would not only develop the product but would also participate in the business discussions for making the product successful.

Knoldus worked with Recommendo first to create a roadmap leading to the MVP (Minimal Viable Product) which could be showcased to the investors and the beta community. Knoldus then worked with Recommendo on a daily basis to build the product always keeping the non-functional and quality aspects as a part of every sprint which was delivered. The architecture was based on the Reactive Manifesto and was designed to be asynchronous and non-blocking at every level. The data crunching for analyzing big data and machine learning was done with Apache Spark. The presentation layer was build on Angular.js which talked to the services which are federated for scalability. These services are also consumed by the mobile applications. A Lift actor to Akka bridge was built to distribute the product across nodes.

Recommendo was able to get the MVP out to the market on time and attract investors to the product which has since been launched in the German market to a great response. The product has evolved a lot based on the market needs and Knoldus continues to be the engineering team for Recommendo for the next phase of the product.