The distributed and complex nature of Kubernetes applications empowers agility and scalability but also presents unique challenges when it comes to disaster recovery (DR). Handling the interplay of containers, microservices, and persistent volumes requires a robust and well-tested DR plan to ensure business continuity in the face of unexpected disruptions. A poorly tested or inadequate disaster recovery testing strategy can lead to prolonged downtime, data loss, and significant financial setbacks.

Ransomware, human errors, and disasters are constant threats to your business’s most valuable asset –its data. Traditional backups, while essential, aren’t always enough since ransomware can still infiltrate them. That’s where immutable backups emerge as a crucial layer of protection. They ensure that even if the worst happens, your critical information remains untouched and recoverable.

This blog provides detailed steps to show you how to move from VMware to Red Hat OpenShift Virtualization using Red Hat’s MTV Operator (Migration Toolkit for Virtualization Operator). To further help the reader, you can see a video of Trilio for OpenShift here Red Hat OpenShift Virtualization and KubeVirt Backup & Recovery with Trilio, and a whitepaper about Trilio VMware migration to OpenStack Technology-Driven VMware to OpenStack Migration: A Comprehensive Guide.

Regardless of the industry, the risks associated with data loss are significant. Financial services, healthcare, government, technology, and many other fields – all rely heavily on sensitive data. The Identity Theft Resource Center (ITRC) reports that the number of data compromises in the United States hit a record high of 1,802 in 2022. This emphasizes the alarming increase in data security incidents.

Data protection is critical for IT professionals, but choosing between incremental vs. differential backup strategies can be complex. While full backups are key, their limitations in speed, storage, and flexibility become apparent as your data grows. Incremental backups offer a more efficient solution, backing up only the data that has changed since the last backup. This strategy significantly reduces backup time, minimizes storage requirements, and scales well for growing datasets.

With the exponential growth of cloud adoption and the widespread shift to Kubernetes as the de facto orchestration platform, Red Hat OpenShift emerges as a leading solution. Coupled with the robust cloud infrastructure of Microsoft Azure, Red Hat OpenShift on Azure (ARO) is a managed service that offers OpenShift clusters on Microsoft Azure. It is jointly engineered and operated by Microsoft and Red Hat with an integrated support experience.

Chances are, if you’re involved in software development, you’ve worked with Kubernetes or at least discussed it. Widespread adoption is not surprising since it’s caused by its ability to offer organizations flexibility in application deployment, scaling, and management. However, the inherent complexities of Kubernetes environments also give rise to unique data protection challenges.

Kubernetes and its enterprise-level cousin, Red Hat OpenShift, have secured their spot as the platforms of choice when it comes to managing containerized applications at a large scale. However, these complex environments require maintaining top-level security. According to a recent survey, 80% of companies faced at least one cloud security incident in the past year. As OpenShift clusters grow more complex, the potential for vulnerabilities also increases, increasing the risk of exploitation.

The streets of Barcelona buzzed with anticipation as the Mobile World Congress 2024 (MWC) unfolded, unveiling insights and innovations that paint a vivid picture of our technological tomorrow. With almost 100,000 people in attendance, MWC is clearly on the world’s stage as dignitaries like the King of Spain and tech leaders like Michael Dell, Antonio Neri, Ziad Asghar and others spoke at the podium and on panels.