Business Continuity is All About Uptime

May 4, 2020

The impact of COVID-19 caught everyone by surprise. Organizational leaders have been forced to swiftly adapt their business processes to adhere to their respective government’s mandates and recommendations. Keeping the health and safety of their employees top of mind, they have equipped their workforce with the tools they need to stay connected, bolstering collaboration and engagement.

Yet, it is nearly impossible to stay on top of every detail; even the best managers and business leaders are susceptible to risk during these times of uncertainty. One of these risks is server failure and costly downtime that is occurring more often than usual as employees work remotely.

Server overload and the subsequent downtime is costly as it affects employee productivity, customer experience, and, due to current mandates, IT repairs and problem resolution can take more time. Predictive maintenance must be leveraged so that server load can be optimized, and failure can be prevented altogether. This solution is not restricted to a single point in time, but it is rather a proactive and continuous process.

So, what does predictive maintenance for server optimization look like? By leveraging Machine Learning (ML), we can use a predictive model to determine how the data query will perform. Then we can further determine the corrective measures needed to avoid server overload. By acting proactively, this solution safeguards against business disruptions and ensures your employees will have access to the data they need when they need it.

Adastra would like to help organizations during this challenging time by sharing valuable insights from our experts that could help you ensure business continuity in your organization.