Self-driving cars rely on sensors, connectivity, and software all working together to achieve a safe, autonomous driving experience. Sensors via radar and cameras provide navigational input, connectivity adds traffic or weather data, and software captures and analyzes all of this information. The most complex part of this three-step process is the software, as the decision-making algorithm must account for the intricacies of millions of driving scenarios\u2014all in an instant.\nToday\u2019s computing environments are also complex and growing more so every day. IT organizations running workloads in a hybrid computing environment must support and manage an operating model that spans traditional, cloud-native, virtualized, and containerized applications. And like the software algorithms that must make split-second decisions for self-driving cars, the IT infrastructure empowering the businesses must make real-time decisions that could very well impact the success or failure of that business.\nThe next evolution in the data center: self-driving\nRecently, VMware CEO, Pat Gelsinger, explained that we\u2019ve moved beyond the software-defined datacenter and \u201cgoing forward, it\u2019s the self-driving data center.\u201d His insights are exactly right; for a business to move faster, their data center must function like a self-driving car. It must be capable of gathering input from numerous sources (each with limitless data) and then instantly analyze and act on it\u2014all without human interaction.\nTo achieve this futuristic sounding, self-driving data center, the enterprise needs a unique combination of two capabilities: composability and intelligence. Together, these technologies can simplify and automate hybrid cloud computing environments, creating tomorrow\u2019s autonomous infrastructure.\nComposability is the foundation for a self-driving data center\nThe first step in achieving a self-driving data center is selecting infrastructure that is software-defined, which means fluid pools of compute, storage, and networking resources controlled programmatically with software. This capability is similar to how today\u2019s semi-autonomous cars enable assisted parking and self-braking features.\nThe same holds true in the data center. Composability delivers the software to bring IT resources together, quickly composing and recomposing them based on needs of individual workloads or applications. Because composability is designed to treat infrastructure as code, businesses can streamline and automate resources to seamlessly scale applications as needed. Instead of dedicated compute silos sitting idle when not in use, composability gives businesses an efficient and cost-effective way to develop and deploy applications faster.\u00a0\nAdditionally, composability provides a unified API, which simplifies interoperability by providing a quick and easy on-ramp to the self-driving data center. The unified API automates typical IT tasks such as provisioning and ongoing maintenance of hardware infrastructure and software solution stacks. And as IT teams roll out new applications, a unified API turns hardware into software-defined infrastructure, letting them leverage the same tools they routinely use in the data center.\nIntelligence provides the brains needed for real time visibility and automation\nThe next critical component in a self-driving data center is intelligence. That\u2019s because artificial intelligence (AI) can take software-defined infrastructure to the next level, simplifying how the infrastructure is managed while proactively supporting it. AI not only provides visibility across physical and virtual resources, it collects, analyzes, and acts on the data \u2013 identifying and addressing problems before they occur.\nImagine if every second, millions of sensors captured the state of all systems in an enterprise\u2014in the cloud and on premises. Next, envision how IT operational data could support the ideal operating environment for every application. This intelligence would give businesses complete reliability and availability, ensuring resources are always on. All updates and changes would occur instantly and automatically, allowing AI to act on the data when it is most relevant instead of hours or even minutes later.\nThis type of full-stack intelligence would eliminate disruptions and wasted time and money because it could solve problems before they occur. Take, for example, how the sensors in a car alert the driver when a tire has low pressure. By warning the driver in advance, the tire can be fixed before a flat strands the car\u2019s occupants by the side of the road. AI for the self-driving data center can provide much greater visibility, analysis, and automation across all physical and virtual resources\u2014from hardware to the workload.\nThe unique combination of composability and intelligence\nHewlett Packard Enterprise (HPE) announced new capabilities \u00a0that help enterprise IT go beyond a software-defined data center, accelerating the cloud experience with composability and intelligence. HPE Synergy offers the unique combination of composability and intelligence, which are must-have components of an efficient and autonomous data center. The solution combines software-defined automation, built\u2011in artificial intelligence (AI), and security to enable IT to rapidly stand up and scale private cloud environments built on HPE composable infrastructure.\nHPE Synergy can be delivered as-a-service via HPE GreenLake, giving enterprises the benefits of pay-as-you-use economics. This consumption-based model ensures every application is always-on and always-fast, while aligning costs with consumption. Instead of actually owning the autonomous data center, HPE GreenLake makes it possible for an enterprise IT organization to adopt the equivalent of a ridesharing model, paying only for what they use, when they use it.\u00a0\u00a0\nSelf-driving is the data center of the future\nThrough the unique combination of intelligence and composability, HPE is creating tomorrow\u2019s autonomous, hybrid cloud data center. This self-driving experience goes beyond modernizing infrastructure; it\u2019s about delivering a distinct operational model that relies on composability and intelligence to bring agility, resiliency, and scale to the enterprise.\nThanks to the unique combination of composability and intelligence, the car won\u2019t be the only thing self-driving in the next few years\u2014the data center will be too.\nTo learn more about the self-driving data center, visit https:\/\/www.hpe.com\/us\/en\/integrated-systems\/synergy.html. For more information on composability, download Composable infrastructure for Dummies.\n[i] New capabilities are available at the end of November 2019.\n____________________________________\nAbout Lauren Whitehouse\n\nLauren Whitehouse leads marketing for HPE\u2019s Composable, Software, and Solutions portfolios. She\u2019s a serial start-up marketer with over 30 years in the technology industry, serving in executive leadership roles in development, product management, and marketing at emerging and market-leading global enterprises. As a former industry analyst, speaker, and blogger, she served as a popular resource for IT vendors and the media; as well as a contributing writer at TechTarget. Lauren holds a Bachelor of Science degree in Computer Science. To read more articles by Lauren, visit the Shifting to Software-Defined blogsite.