DZone

Operations teams now have access to powerful monitoring solutions to track operational data. But, many of those same teams are missing a crucial piece of the puzzle: context. Without additional information to put context around monitoring data, teams can’t optimize resource allocation and can even miss out on vital fixes affecting the customer experience. 

Within operations, two major examples of context rise to the top: metadata and clustering. These provide the lens through which teams view data and metrics, make smarter decisions about using resources, and take the lead on improving customer experience and adding customer value. Let’s look at each example and how teams can benefit from applying context to their work.

Source: DZone