Bob's company is venturing into the online wine business. Bob's no connoisseur. He likes his wine like his IT solutions, slightly chilled and served from a box. But he's excited to deploy his new Kubernetes-based transaction processing app for wine sales. Problem is, despite Kubernetes giving Bob the ability to deploy apps super quickly, his standard IT tool set offers no insight into the highly dynamic Kubernetes infrastructure. And his team isn't up to speed on containerized workloads. So, their old familiar tools are all they've got. One fateful Friday, a new pinage with a 99 point rating and a very reasonable price point hits Bob's Wine store and demand rises like a tsunami. But by 5:15, customer complaints are pouring in and thousands of bottles are trapped in online shopping carts. Bob's at a loss because his Kubernetes cluster appears to be running fine. And his team all report that the individual components they each own are fine. Bob's hit with hundreds of thousands of dollars in loss revenue before they can even identify the issue. Bob's friend DJ uses Kubernetes to deploy apps for her online chocolate shop. But unlike Bob, her team uses NetApp Cloud Insights. So when a major sugar rush hits one Friday evening, Cloud Insights automatically alerts her team that the web store app is developing a problem. A node within her cluster is failing and an outage is looming. DJ uses the Kubernetes Explorer feature of Cloud Insights [music] to get a graphical view of the entire landscape and drills down into the failing cluster. Within seconds, she's pinpointed the specific node that's over capacity and allocates a larger volume to fix the problem. This sweet solution means no downtime and no lost business. DJ celebrates by ordering up her second favorite cluster type, the kind with chocolate and peanuts. A transaction that's hardly approved by NetApp, the cloud storage specialists.