The classic operations toolkit revolves around monitoring sets of physical properties (such as volume, speed, capacity) and having smart people build complex algorithms that describe when an event threshold has been breached.
As systems continue to become more advanced with more moving parts and more flexibility as to how they are combined, these algorithms have become too complex for the event the smartest teams to manage, so the response has been to deploy advanced data analytics with machine learning AI capabilities to augment these teams. However, this comes with an increase in the trifecta of issues:
Companies are now finding that it is taking longer than ever to resolve complex issues, to determine the root cause, and then to implement effective remediation in a cost-effective manner.
What is needed is a method of abstracting business understanding from the entirety of these systems, to be able to visualize the pathways each user’s experience follows, and to overlay performance data on these pathways, and to be able to compare these to the historical record to identify anomalies in more effective and practical ways.
This new paradigm is being used by many of the world’s largest, most successful, and most innovative businesses today, and the results are proving to be increased availability and performance, reduced costs and time to problem resolution, and improved user experience, compliance to regulations and better security.
If you are looking to make the leap to post-pandemic thinking, let us show you the Nastel way.