Transforming Mainframe Recovery

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Moving beyond disaster recovery, organizations can ensure business-critical mainframe environments. Over decades, the mainframe has earned a reputation for being synonymous with reliability. Many enterprise organizations continue to rely on the mainframe precisely because of the redundancy, automatic recovery, and availability that leads to “nine nines” reliability or 31.56 milliseconds of unplanned annual downtime per server. However, this reliability can lead to blind spots in planning and resourcing for recovery, with IT leaders perhaps counting on their mainframe being shielded from downtime. Platform availability is not the same thing as recoverability, and organizations need to quickly and confidently recover mainframe data when the surrounding environment or backup estate is compromised. This is especially true as organizations turn to the mainframe for more business-critical workloads. While some incorrectly view the mainframe as an outdated technology supporting a few holdover legacy apps, the truth is very different. According to BMC research, 72% of IT leaders say general-purpose capacity is growing for their organization’s mainframe, with 35% attributing that growth to new (or both new and legacy) applications. Nearly three-quarters say that GenAI is extremely or very important to their mainframe strategy. The challenge: Even as organizations use their mainframe environments for modern workloads, these environments may be saddled with legacy disaster recovery tools and processes. These practices, largely designed for hardware failures or site outages, have not …

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