Quantifying the Business Value of Cloud-Native Data Management


Authors:   Prashanto Kochavara


The presentation discusses the benefits of using Kubernetes for data management and application migration in a multi-cloud and hybrid cloud environment.
  • Kubernetes allows for faster innovation and simplified management of stateful workloads
  • A cloud-native data management solution can improve software releases and increase revenue
  • Infrastructure-agnostic and policy-driven solutions are necessary for successful application migration
  • Data volumes should be managed as first-class citizens and data staging capabilities are important for multi-cloud and hybrid cloud environments
The presentation describes Acme Corp, a social media organization that uses artificial intelligence and machine learning for data intelligence. They have a multi-cloud hybrid cloud approach and want to go full-blown Kubernetes with a cloud-native first approach. Their goals include security, self-service, more frequent releases, reduced cloud spend, compliance, and quick recovery from outages. The presentation uses Acme Corp as an example to illustrate the benefits of using Kubernetes for data management and application migration.


Data management and protection in the age of ransomware, cloud outages, and fat finger namespace deletions is too often justified with a loss prevention and insurance policy mentality. While these factors are important and can be quantified, there are other quantifiable measures that should be considered to seek the proper funding and approval for a cloud-native data management project. Learn the basic principles of writing a comprehensive business value analysis that will speak the language of both the finance organization and also allow your companies leadership to fully understand the big picture of improving application migration capabilities, test data related to your CI/CD pipeline, and getting a complete view of the costs of development across the application lifecycle. Learn to easily compare the costs of efforts associated with development time and infrastructure costs as well as the cost of maintaining cloud-native data management in a private or multi-cloud environment.