John Gordon, president and CEO of HP Managed Solutions, believes that preventing IT downtime requires moving away from the traditional “reactive support” mindset of resolving problems only after they occur. “With today’s AI tools, telemetry, and proactive insights, we can and should be proactive in solving IT problems,” he says. “That means continuous monitoring so we can prevent problems before they become widespread.”
With the right solutions in place, IT security and operations teams should be able to monitor the health of their IT fleet or engage a trusted partner to manage it for them. “My advice to CIOs is to dedicate resources to preventing problems before they happen,” says Gordon.
Indicators for measuring results
Focusing on key success metrics helps IT teams remain efficient and minimize downtime, Ashmore says.
Mean (MTBF) and Mean Time to Repair (MTTR) are belgium mobile database for understanding how often failures occur and how quickly they can be fixed.
Incident response time is also critical, as a quick response reduces the impact of failures, and system uptime is a key indicator of reliability. “The higher the uptime, the better,” says Ashmore.
Finally, customer satisfaction metrics can provide insight into how downtime is impacting users, helping teams evaluate the effectiveness of their efforts.
Gordon notes that another metric for assessing the ROI of downtime reduction is the number of help desk calls. “If that’s going down, there’s a good chance you’re actually increasing employee uptime,” he says.
Communication, investment in prevention
Steve Watt, CIO at Hyland, believes that communication and troubleshooting are key to operational efficiency. “Your response team should be a unified team from the start, made up of security, infrastructure, technical, non-technical, and leadership,” he says. “At the same time, you need to size the team so it can work quickly and effectively.”