{"id":87978,"date":"2022-01-07T20:19:41","date_gmt":"2022-01-07T09:19:41","guid":{"rendered":"https:\/\/itt.com.au\/?p=87978"},"modified":"2022-01-07T20:19:41","modified_gmt":"2022-01-07T09:19:41","slug":"compute-from-edge-to-cloud","status":"publish","type":"post","link":"https:\/\/itt.com.au\/compute-from-edge-to-cloud\/","title":{"rendered":"Compute from Edge to Cloud"},"content":{"rendered":"\n
The cloud has fundamentally impacted how computing resources are provisioned and managed, however the nature of computing itself has not changed. We see similar workloads in the cloud as we do in on-premise computing environments. Thus, it\u2019s important for organisations to understand how to optimise their workloads to maximise the value of their hybrid cloud investments.<\/p>\n\n\n\n
While not all organisations may be focused on their multicloud workloads, the principles explored below can be leveraged for any business, regardless of where they are in their cloud journey. It\u2019s important for all types of businesses to consider their edge to cloud posture.<\/p>\n\n\n\n
Businesses can better understand their hybrid infrastructure requirements through workload evaluation. Compute, storage, networking, and memory are all standard components of computing workloads. Any of these four components are present in each application, but they are not always balanced in the same way.<\/p>\n\n\n\n
Modernisation of the edge-to-cloud IT estate can unlock the promise of digital transformation. HPE enables new business possibilities by delivering intelligent, workload-optimised computing systems and solutions that improve agility, operational efficiency, and the speed of innovation.<\/p>\n\n\n\n
One way to manage computing resources is to automate complex tasks, increasing the speed and simplicity from edge-to-cloud. HPE provides high-performance solutions that scale up or out, on-premises or in the cloud, with purpose-built infrastructure and software that accelerates HPC, AI, and analytics adoption and scaling. Below we explore HPE’s workload-optimised compute solutions as used at the edge and in high-performance computing, like Exascale which are even used for space missions.<\/p>\n\n\n\n
With billions of IoT devices deployed worldwide, businesses are consistently flooded with data.<\/p>\n\n\n\n
In this customer-centric era, no firm can afford latency, security, or connectivity issues when transporting large amounts of data between data centres and remote locations. Many of these issues can be avoided by locating smaller data centres, IT infrastructure, computational, storage or networking capabilities near the billions of IoT devices at the edge of the network. This approach also can save on operational costs and is also suitable for smaller organisations.<\/p>\n\n\n\n
Unexpected interruptions can be not only expensive but also dangerous. A hybrid infrastructure that incorporates power, cooling, environmental monitoring, and security is critical for cost savings, uptime, and availability. Safeguarding that infrastructure requires remote monitoring and management solutions which simplify the deployment and maintenance of distributed assets.<\/p>\n\n\n\n
HPE is committed to assisting businesses across various sectors in exploring and using edge computing capabilities. HPE technologies enable a variety of edge scenarios, from delivering a seamless healthcare experience to building a quicker, more intelligent packaging plant, to assisting businesses in transitioning from old infrastructure, to one that is ready to give data-driven insights.<\/p>\n\n\n\n
HPE’s edge computing portfolio includes Aruba ESP and HPE Edgeline.<\/p>\n\n\n\n
Aruba ESP (Edge Services Platform) is the industry\u2019s original AI-powered, cloud-native architecture designed to automate, unify, and protect the Edge. Aruba ESP offers the largest telemetry-based data lake for AIOps, as well as Dynamic Segmentation and policy enforcement rules to secure new devices. It facilitates cloud-managed orchestration across wired, wireless, and WAN, providing ultimate flexibility \u2014 in the cloud, on-premises, or consumed as a service.<\/p>\n\n\n\n
HPE Edgeline<\/p>\n\n\n\n
HPE Edgeline offers converged OT (Operations Technology) and enterprise-class IT in a single, ruggedised system that implements data centre-level compute and management technology at the edge. The system integrates key open standards-based OT data acquisition and control technologies directly into the enterprise IT system responsible for running the analytics. This delivers fast, simple and secure convergence between the necessary OT hardware and software components. The convergence of OT and IT capabilities into a single HPE Edgeline system greatly reduces the latency between acquiring data, analysing it and acting on it, while at the same time saving space, weight and power (SWaP).<\/p>\n\n\n\n
Exascale computing heralds a new age of supercomputer development. Exascale computing refers to computer systems that are capable of doing at least one exaflop<\/a> or one billion, billion computations per second. That is 50 times faster than the fastest supercomputers now in use and a thousandfold faster than the first petascale computer.<\/p>\n\n\n\n