5 Best Practices for Running Databases on OpenShift

Enterprises are rapidly moving to containers to develop and run their applications. After successfully deploying and running stateless applications on Red Hat OpenShift, many developers are exploring the possibility of running stateful workloads, such as PostgreSQL, on OpenShift. If you are considering extending OpenShift for databases, this tutorial will help you understand the best practices for running databases on OpenShift.

We will talk about the following best practices and how to implement them:

  • Automating database deployments using Operators
  • Setting up data replication and auto-failover
  • Creating snapshots of the databases to protect from user errors and system failures
  • Creating backups to protect your databases from site-wide failure
  • Making your databases easy to migrate across on-prem and clouds

Join the experts from Red Hat and ROBIN as we discuss the best practices and highlight the benefits of running databases on OpenShift such as improving developer productivity, reducing infrastructure cost, and providing multi-cloud portability.


Andrew Sullivan - Technical Marketing Manager , Redhat

Andrew Sullivan is a Technical Marketing Manager at Red Hat. He focuses on virtualization and modernizing the management of infrastructure for today’s applications. Andrew has worked in the information technology industry for more than 15 years, with a rich history of database development, DevOps experience, containers, and virtualization.



Ankur Desai - Director Products, Robin.io

Ankur Desai is a Director of Product at Robin.io. He is responsible for the go-to-market strategy and the product roadmap for the Robin Platform. Ankur brings over 12 years of experience in software development, product management, and product marketing for enterprise software. 


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