Whereas when you arm them with this type of information, they become proactive, and now, they are having a business conversation with the other side of the company saying, “Look, here is what we are doing, here is how we are serving you, which is great, but here is what we need to plan for this.” That’s a completely different culture and conversation. We are starting to see people agree with this. A lot of our customers have come to us, and other people have come to us and said, “This is exactly the next step, this is where we need to go.” And it’s caused by the business pressure that they’re feeling.
So you can predict the future. You can do What If analysis, and that’s all very good. But people say that what if I have some changes other than capacity planning, which is fine, and you can do that. We are now focused really on service delivery and capacity planning as it supports delivery of services, but what about the other changes in your environment? What happens if you have 500 users studying online next Wednesday? How is it going to work?
Well, usually you would wait and react and say, “Well, I have crossed my fingers, I hope it does handle the capacity.” Now, you can, actually with this model, crank it up and say, “We can tell you within seconds how it will perform, not only how that application perform but how it will play with all the other applications that are running at the same time competing for the same resources as each of these workloads has its own performance fingerprint, if you will, that is unique.” So you can do hypothetical changes, what if you had new customers, what if you have new applications coming? You can model those within seconds and see what the results can be.
So another thing that we hear a lot today about, well, what about applications that are not online yet, they are coming in? So how do you deal with that? So we say, “Well, take them in a production environment, run them, and build the mode.” Then, you can actually virtually re-host that environment within seconds.