Streamline MongoDB Deployments with OpenShift and Kubernetes

December 18, 2018

12 PM ET | 9 AM PT

Today more DevOps teams are leveraging the power of containerization, and technologies like Kubernetes and Red Hat OpenShift, to manage containerized database clusters. To support teams building cloud-native apps with Kubernetes and OpenShift, we introduced a Kubernetes Operator (beta).

With the MongoDB Enterprise Operator for Kubernetes you are able to manage the lifecycle of your MongoDB deployments in your Kubernetes cluster easily, with no operational burden.

This talk will cover:

  • Installing and configuring MongoDB Kubernetes Operator in OpenShift
  • Managing your MongoDB deployments lifecycle with the Kubernetes Operator
  • Using Enterprise monitoring and backup solutions from MongoDB

By the end of the talk, you will have a better understanding of how MongoDB can live in your Kubernetes and OpenShift cluster and what that means in terms of security, resiliency, and ease of operation.

This session also includes a live Q&A portion during which you are encouraged to ask questions. We’ll have key members of the engineering and product staff on hand to answer your questions.

If you can’t attend at the scheduled time, be sure to sign up to receive the recording in your inbox.

Rodrigo Valin: About the speaker

Rodrigo Valin is a Senior Software Engineer on the Private Cloud Services team, with a focus on Cloud Products and orchestration platforms. He has been with MongoDB for a year, working on a Kubernetes and OpenShift operator for enterprise customers.

Rodrigo worked as SRE manager for a number of companies, before deciding to shift careers and become an individual contributor. In his IC years, he has been building backend and tools mainly for developers to accomplish a streamlined and efficient working experience. He sees Kubernetes as a disruptor in the industry – impacting the way we describe our problems, how we approach customers, how solutions are proposed and delivered; with orchestration tools like Kubernetes, producing and delivering software has finally become agile.