"Everybody is talking about the 10x engineer today. Nobody is talking about the 10x admin yet," Tejas Pandit, co-founder of MeshDefend, told AIM. He has spent years wandering the labyrinths of large enterprises, watching recovery efforts drag on for weeks. He described how the first 48 to 72 hours after a failure are usually spent stumbling through a haze of PDFs, snapshot sheets and outdated runbooks. "I have seen people shakingly navigate through 200, 500, 700-page PDFs," he said. A report from Unitrends this year, titled The State of Backup and Recovery Report 2025, noted that over half of organisations spend more than two hours every single day just monitoring backups, troubleshooting or fixes. More than 60% of companies believe they can restore operations within a day, but only 35% actually manage to. Attackers have learned to strike backup systems first, leaving teams second-guessing what data is safe to trust. What should be a clear restoration checklist becomes a tense chain of judgment calls. For visibility, the industry has already looped in the big guns. Datadog, Dynatrace, New Relic and Splunk provide rich insight into logs and metrics. As Patrick Lin of Splunk put it, "More information means either fewer outages or shorter duration outages." Yet, insight alone has never brought anything back from the brink. Someone still had to choose the safe action and run it. Now, AI is being directed at shrinking that execution gap. |
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