OpenShift Commons Briefing: Database Disaster Recovery Made Easy with Annette Clewett (Red Hat) and Andrew L'Ecuyer (Crunchy Data)

Building a Metro HA Postgres Cluster with OpenShift Data Foundation

Getting your database-backed application up and running on OpenShift is straightforward, but what about deploying a mission-critical application such as Smart City vehicle recognition that needs to have geo-redundant high availability and fault tolerance?

Knowing the right open source tooling to use can simplify the "disaster recovery" problem when running complex applications on OpenShift. By combining PGO, the open source Postgres Operator from Crunchy Data used for managing production grade Postgres databases, and OpenShift Data Foundation (ODF), providing resilient storage for OpenShift clusters, you can survive the loss of a datacenter with RPO=0 and RTO in minutes instead of hours.

This OpenShift Commons Briefing includes a demonstration of how to configure operator-based ODF installed on an OpenShift cluster stretched across multiple locations to create a suitable environment for a geo-redundant Postgres cluster. From there, we will explore the fundamental concepts for building a high availability, multi-datacenter Postgres cluster. We will demonstrate a location failure for the complex Smart City vehicle recognition application in order to show OpenShift, ODF, Kafka, and Postgres cluster availability and disaster recovery capabilities.

Guest Speakers:

Andrew L'Ecuyer (Crunchy Data)

Annette Clewett (Red Hat)

Slides from the presentation are here!

Additional Resources:

• ODF demonstration ~8 minutes
• Evaluations - redhat.com/TryODF
• Hands on demos - learn.openshift.com/persistence
• Jumpstart Library Smart City
• Configuring OpenShift Container Storage For Metro-DR Stretch Cluster
• Recovering a Metro-DR Stretch Cluster
• PGO, Postgres Operator from Crunchy Data
• Postgres Operator Examples

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