Why is enterprise disaster recovery always such a...disaster?
Briefly

Why is enterprise disaster recovery always such a...disaster?
"One of the brutal truths about enterprise disaster recovery (DR) strategies is that there is virtually no reliable way to truly test them. Sure, companies can certainly test the mechanics - but until disaster strikes, the recovery plan is activated and 300,000 workers and millions of customers start interacting with it, all bets are off."
""The exponential growth of SaaS has changed how organizations need to address DR and overall resilience," Trovato said. "They have no control over SaaS outage recovery. They can't failover to their own warm standby and that is a huge vulnerability. For example, if M365 has an outage, that impacts an organization's primary means of internal and external communications, not to mention the project work maintained in MS Teams channels, SharePoint, and OneDrive. And the organization is often just waiting for the vendor to resolve the outage, with no control over the situation.""
""Don't assume your SaaS vendor is following backup and DR best practices," Trovato said. "Often, a SaaS vendor will just rely on the resilience of the cloud platform where they host. No matter what uptime numbers Azure, AWS, or GCP might claim, they all have outages and they all carry the risk of data loss.""
Most enterprise disaster recovery plans remain unchanged despite dramatic shifts to SaaS, cloud, and AI-driven architectures. Testing can validate mechanics but cannot reproduce the full scale, timing, and human factors of a live recovery when thousands of employees and customers interact with the plan. SaaS providers remove direct control over outage recovery, eliminating warm-standby failover options and creating single points of vendor-dependent failure. Cloud platforms and SaaS vendors can experience outages and data loss despite uptime claims. Organizational risk aversion and political pressure often prevent realistic, meaningful DR tests, leaving third-party risk unaddressed.
Read at Computerworld
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