Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In my previous blog post, (OpenShift Virtualization Backup and Restore with Trilio in AWS ROSA Baremetal ) I discussed how to protect VMs running in OpenShift Virtualization, specifically in AWS ROSA Baremetal environments. In this post, I want to focus on how you can recover a VM in less than 3 minutes. When it comes to recovery in Kubernetes environments, many of us feel relatively at ease, especially if the Persistent Volumes (PVs) are not particularly large.

Data drives businesses forward, and MongoDB has become a critical database solution for many companies. But what if disaster strikes? That’s where MongoDB backup becomes essential.

Organizations face mounting pressure as their data storage needs multiply each year. The challenge lies in managing vast amounts of information that must be preserved but rarely sees active use. Cold data storage offers a smart solution for storing this infrequently accessed data while keeping costs under control. Cold storage systems excel at housing compliance archives, historical records, and backup files, all while maintaining accessibility when these assets are needed.

Virtual machines form the backbone of most enterprise IT systems, which means effective virtual machine backup software is essential for safeguarding business operations. Companies need reliable backup solutions to protect their virtualized applications and data from unexpected failures, breaches, or system crashes.

If you manage customer information, financial records, or business intelligence, learning how to backup Postgres databases effectively is a must-have skill. This guide offers practical steps to secure your data, covering various backup types and strategies to keep your information safe and recoverable. We show you how to create a solid backup plan for your Postgres databases, reducing downtime risks and safeguarding your organization’s most valuable asset.

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.