 Edge computing comes with the challenge of scale and so when we think about edge computing it's really about scaling your people it's about scaling your operations and how do you maintain centralized control and visibility and manageability in a way that allows the business to scale as well. So imagine in a manufacturing environment you've got a lot of different plants located perhaps all over the country perhaps you're building bikes and you're making sure that the wheels are perfectly circular if for any reason there is drift in that manufacturing process you can quickly process the fact that that is happening and stop manufacturing and so what that does to a business is they don't have to waste a lot of material it's really about helping solve things at the place where that thing is happening. Look at this you're not going to believe this manufacturing error. Bicycles around the world are spontaneously collapsing a screwed use in production was manufactured too small. At Red Hat we did this really cool video where we try to bring this use case to life a little bit more. Wow they really screwed up. It is put in a quite satirical type of way but it could happen and these are the types of things that we want to address and help solve for with Red Hat OpenShift. At Red Hat we have what are called Red Hat Edge validated patterns and what they do is they architect a whole edge stack that then a technology partner can add their specific capabilities to to address specific use cases so these are validated they're tested they are lifecycle managed which means that if a product within the validated pattern gets updated the validated pattern itself gets updated so what this does to the business is it helps minimize risk it helps you get from zero to POC as we say a lot faster and ultimately helps you build an edge architecture that is specific to you and is not something that is generic and it's something that you can use as an organization.