Case Study: Ferret cuts cloud costs and speeds data migration with DNX Solutions on AWS

Migrating from Azure to AWS

Ferret, a company providing a Relationship Intelligence solution, faced major challenges running its platform on Microsoft Azure. The infrastructure could not scale to train its ML models, and the company encountered significant issues migrating large datasets from on-premise systems. These problems, combined with siloed teams and unexpectedly high costs of $80K per year for just the test environment, led them to seek a new cloud partner. They engaged DNX Solutions to migrate their complex workload to AWS for better scalability, reliability, and cost-effectiveness.

DNX Solutions executed a migration strategy that combined re-hosting and re-platforming key services onto AWS. They moved stateless applications to EKS, utilizing cost-saving Spot Instances, and replatformed data services to managed offerings like Amazon MSK and Elasticsearch. For the data migration, DNX configured a platform that finally enabled Ferret to successfully transfer its massive datasets using their existing Pentaho tool. The results were significant: Ferret reduced its cloud spending by 50%, cut data migration time from 24 hours to 5, and achieved substantial gains in operational efficiency and developer productivity.

Ferret