What happens if your critical OpenShift applications suddenly crash due to a major system failure or cyber attack? How fast could you bounce back and get things running again? Having a solid OpenShift disaster recovery plan isn’t just a nice-to-have — it’s essential for keeping your business going when the unexpected hits. This guide walks you through the key elements of building a strong disaster recovery setup for your OpenShift environment.

Protecting your business-critical data and applications requires understanding two essential strategies: high availability and disaster recovery. While both aim to keep systems operational, they serve distinct purposes and operate on different timelines. This article explains these key differences, provides implementation best practices, and showcases advanced solutions that combine these crucial strategies.

At Indiana University, OpenInfra Days North America 2024 was an event that brought together the brilliant minds of the open infrastructure community. For my teammate Kevin Jackson and I, this was not just another tech event; it was a long-overdue reunion with friends in the OpenStack community and an exciting opportunity to forge new relationships. The atmosphere was charged with collaboration and learning, with best practices, user journeys, and insightful panel discussions taking center stage.

Virtual machines (VMs) running on cloud-native platforms like OpenShift Virtualization require robust backup and recovery solutions to avoid downtime and data loss. However, many organizations struggle with the complexities of backing up VMs in hybrid and multi-cloud environments, especially when managing infrastructure at scale.

Migrating virtual machines (VMs) from VMware to next-generation open infrastructure platforms like KubeVirt and OpenShift Virtualization carries some VM migration risks that can impact business operations if not managed properly. One of the key challenges is compatibility, as the architecture, configurations, and dependencies of VMs in VMware may not seamlessly translate to new environments, leading to issues with performance, application functionality, or even failed migrations. Process risks include.

As cyber threats grow more complex, companies increasingly look for strong methods to protect their valuable information. Air gap backup has become an effective approach to improve data security and shield against various risks. This technique creates a separation between main data storage and backup systems, either physically or logically, which greatly reduces the chances of unauthorized access or data corruption.

As infrastructure continues to evolve for scalability, tenancy and efficiency, there is a growing need for solutions that can bridge the gap between mature cloud offerings such as OpenStack and the ease of deployment, flexibility, and elasticity provided Kubernetes. Red Hat OpenStack Services on OpenShift or “RHOSO” offers a compelling solution for organizations looking to achieve this goal.

Traditional backup methods, though useful, often struggle to keep up with the complexities and constant changes in Kubernetes environments. This is where synthetic backup comes in—a revolutionary approach that significantly improves data protection. In this article, we explore what synthetic backup is and why it’s a better option than traditional methods. We discuss the specific benefits it offers for Kubernetes applications, including real-world examples and technical insights.

When it comes to managing your cloud infrastructure, picking the right platform can make a big difference in how smooth, scalable, and cost-effective your operations are. Two of the top contenders in this space are OpenStack and VMware. Both offer powerful tools for handling virtualized environments, but they suit different needs and preferences. Knowing the key differences between them is essential to help you make the best choice for your organization’s goals and technical needs.

Data fuels decision-making, drives innovation, and underpins customer relationships. But data is also vulnerable—to cyberattacks, hardware failures, natural disasters, and even simple human error. That’s where data resiliency comes in. Data resiliency is about more than just having backups: It’s a holistic approach to ensuring that your data remains available, accurate, and secure even in the face of unexpected disruptions.