 I'm Peter Burris, Chief Research Officer for Wikibon theCUBE and welcome to another special digital community event. Today we're going to be presenting Wikibon's 2019 trends. Now I'm here in our Palo Alto studios in kind of a low tech mode, precisely because all of our crews are out at all the big shows bringing you the best of what's going on in the industry and broadcasting over theCUBE. But that's okay because I've asked each of our Wikibon analysts to use a similar approach to present their insights to what will be the most impactful trends for 2019. Now the way we're going to do this is first we're going to use this video as a basis for getting our insights out and then at the end we're going to utilize a crowd chat to give you an opportunity to present your insights back to the community. So at the end of this video, please stay with us and share your insights, share your thoughts, your experience, ask your questions about what you think will be the most impactful trends in 2019 and beyond. A number of years ago, Wikibon predicted that cloud while dominating computing would not feature all data moving to the cloud but rather the cloud experience and cloud services moving to the data. We call that true private cloud computing and there has nothing been, has occurred in the last couple of years that has suggested that we were anyway wrong about this prediction. In fact, if we take a look at what's going on with Edge, our expectations that increasingly edge computing and on-premise technologies or needs will further accelerate the rate at which cloud experiences end up on-premise, end up at the edge and that will be the dominant model for how we think about computing over the course of the next few years. That leads to greater distribution of data, that leads to greater distribution of places where data actually will be used. All under the aegis of cloud computing but not utilizing the centralized public cloud model that so many predicted. Prediction we'd like to talk about is how multi-cloud and orchestration of those environments fit together. At Wikibon, we've been looking for many years at how digital businesses are going to leverage cloud and cloud is not a singular entity and therefore the outcomes that you're looking for often require that you use more than one cloud especially if you're looking at public clouds. We've been seeing the ascendance of Kubernetes as a fundamental foundational piece of enabling this multi-cloud environment. Kubernetes is not the sole thing and of course you don't wanna overemphasize any specific tool but you're seeing, driven by the CNCF and a broad ecosystem that Kubernetes is getting into all of the platforms both public and private cloud and that we predict that by 2023 90% of multi-cloud enterprise applications will use Kubernetes to lead for the enablement of their multi-cloud strategy. One of the biggest challenges that the industry's going to face over the next few years is how to deal with multi-cloud. We predict ultimately that a sizable percentage of the marketplace as much as 90% will be taking a multi-cloud approach first to how they conceive, build and operate their high strategic value applications that are engaging customers, engaging partners and driving their businesses forward. However, that creates a pressing need for three new classes of technology. Technology that provides multi-cloud networking, technology that provides orchestration of services across clouds and finally technologies that ensure data protection across multi-cloud. While each of these domains by themselves is relatively small today, we think that over the next decade they will each grow into markets that are tens of billions if not hundreds of billions of dollars in size. The prediction I'd like to talk about relates to robotic process automation, RPA. So we've observed that there's a widening gap between how many jobs are available worldwide and the number of qualified candidates to fill those jobs. RPA we believe is going to become a fundamental approach to closing that gap and really operationalizing artificial intelligence. Executives that we talked to in theCUBE, they realize they just can't keep throwing bodies at the problem. So these so-called software robots are going to become increasingly easy to use. And we think that low-code or no-code approaches to automation and automating workflows are going to drive the RPA market from its current position, which is around a billion dollars to more than 10X or $10 billion plus by 2023. I'd like to predict that in 2019 what we're going to see is more containerization of AI and machine learning for deployment to the edge and throughout the multi-cloud. It's a trend that's been going on for some time. In particular, what we're going to be seeing is an increasing focus on technologies and projects and code bases such as Kubeflow, which has been established in this year, just gone by to support that approach for a containerization of AI out to the edges. In 2019, we're going to see the big guys like Google and AWS and Microsoft and others in the whole AI space begin to march around the need for common DevOps frameworks such as Kubeflow because really that's where many of their customers are going. The data scientists and app developers who are building these applications, they want to manage these over Kubernetes using the CNCF stack of tooling and projects to enable a degree of supportability, maintainability, and scalability around containerized intelligent applications. My prediction is around the move from linear programming and data models to matrix computing. This is a move that's happening very quickly indeed as new types of workload come on. And these workloads include AI, VR, AR, video, gaming, very much at the edge of things. And ARM is the key provider of these types of computing chips and computing models that are enabling this type of programming to happen. So my prediction is that this type of programming is going to start very, very quickly in 2019. It's going to move very rapidly about two years from now in 2021 into the enterprise market space but that the preparation for this type of computing and the movement of work right to the edge very, very close to the sensors, very, very close to where the users are themselves is going to accelerate over the next decade. The prediction I'd like to make in 2019 is that the CNCF has this steward of the growing cloud native stack that they will expand the range of projects to include the frontier topics, really the frontier paradigms in microservices and cloud computing. I'm talking about serverless. My prediction is that virtual cubelets will become an incubating project at CNCF to address the need to provide serverless event-driven interfaces to containerized orchestrated microservices. I'd also like to predict that VM and container coexistence will proceed at pace in terms of a project such as, especially cubevert I think will become also a CNCF project. And I think it will be adopted fairly widely. And then one last prediction in that vein is that the recent working group that the CNCF has established with Eclipse around IoT, the Internet of Things, I think that will come to fruition. There's an Eclipse project called Ditto that uses IoT and AI and digital twins and a very interesting way for industrial and other applications. I think that will become under, come under the auspices of CNCF in the coming year. Security remains vexing to the cloud industry and the IT industry overall. Historically, it's been about restricting access, largely at the perimeter. And once you provided access through the perimeter, users would have access to an entire organization's resources, digital resources, whether it be files or applications or identities. We think that has to change. Largely as a consequence of businesses now being restructured, reorganized and re-institutionalizing work around data. That what's gonna have to happen is a notion of zero trust security is gonna be put in place. That is fundamentally tied to the notion of sharing data. So instead of restricting access at the perimeter, you have to restrict access at the level of data. That's gonna have an enormous set of implications overall for how the computing industry works. But two key technologies are essential to making zero trust security work. One is software defined infrastructure so that you can make changes to the configuration of your security policies and instances by other software. And two, very importantly, high quality analytics that are bringing the network and security functions more closely together and through the shared data are increasing the use of AI, the use of machine learning, et cetera and ensuring higher quality security models across multiple clouds. It's always great to hear from the Wikibon analysts about what is happening in the industry and what's likely to happen in the industry. But now let's hear from you. So let's jump into the crowd chat as an opportunity for you to present your ideas, your insights, ask your questions, share your experience. What will be the most important trends and issues in 2019 and beyond as far as you're concerned? Thank you very much for listening. Now let's crowd chat.