New connectors, cluster shrink, & more within our Q1 Cloud Launch | Read the blog
Ricardo Completes
On-Prem-to-Cloud Migration with Confluent Cloud
As the largest online marketplace in Switzerland, Ricardo is accustomed to tackling large-scale IT initiatives and completing them on time. So, when the company recently decided to undertake a migration from data center to the cloud, they made a bold move: canceling the contract with the data center in advance. Tobias Kaymak, Senior Data Engineer at Ricardo, recalls, “At that point, there was no going back; there would be no half-migration. Everyone was aware that we would be in the cloud by the target date, no excuses.”
The move was made simpler, in part, because Ricardo was already using Apache Kafka® for event streaming in its data center. Working with Confluent engineers, Kaymak and his data intelligence team easily transitioned from on-prem Kafka to Confluent Cloud, and completed the overall cloud migration on schedule. As he puts it, “We met our aggressive deadline, with no machines left behind.” Today, the team is deploying new streaming pipelines in the cloud with Confluent Cloud, Google BigQuery, Apache Beam, and Apache Flink.
The transformational event streaming and cloud journey underway at Ricardo is linked with Kaymak’s own personal journey with Kafka, which started when he was still a student. In his blog post, Kaymak shares his perspective on how far event streaming has come since he started with a single broker and Kafka 0.6 eight years ago, and how his individual journey is connected with those at Ricardo, other companies he has worked for, and the entire Kafka community.
More Customer Stories
Risk Focus
Risk Focus Delivers Order Management Platform at Top 20 Global Bank
Rodan + Fields
A leading skincare brand and direct selling company in North America.
Roosevelt and Delta Dental
At the heart of Roosevelt is a real-time streaming architecture built on Confluent that powers not only BRIDE, but also eligibility, billing, member portals, and other core functions on the platform.