Today’s data centers now play an even more crucial role than ever, as they serve as the backbone of our digital lives. (Photo: courtesy of Intel)
In this edition of Voices of Industry, Chao Huang, senior application engineer at Intel Data Center Management Solutions, shares information on how data center management solutions can leverage your edge cloud strategy.
Typically, from hyperscale data centers, cloud computing has drastically accelerated the digital transformation of global businesses of all sizes, whether through cloud utilities from vendors like AWS, Google Cloud, or Microsoft Azure, or clouds. private lodged in local infrastructures. As one industry expert has noted, “the cloud underpins the drive for digital business, which remains at the top of the IOC’s agenda.”
There is no doubt that cloud computing excels in both resource-intensive data processing and artificial intelligence (AI) workloads and machine learning, which have become increasingly essential for the evolution of the business model. In fact, the latest Flexera cloud status report found that 41% of companies now use the cloud platform as a service (PaaS) for artificial intelligence and machine learning applications. .
That said, it is now also widely recognized that cloud computing creates latency issues for some workloads, as data must travel to and back to the data center. No matter how fast a network or 5G connection is, large volumes of data take a long time to transfer over long distances. As Star Trek chief engineer Scotty would say, “You can’t change the laws of physics, Jim!”
For this reason, companies are increasing cloud computing with edge computing for certain types of workloads, such as latency-sensitive applications. In addition, as the cost of bandwidth for large-scale data transmission adds up, the location of computing at the limit reduces these costs. Edge technology also keeps sensitive or proprietary information closer to the source and allows you to comply with data location laws, such as the EU General Data Protection Regulation (GDPR).
This “edge cloud” brings cloud accessibility closer to where data is being created and deployed. Extending cloud convenience to edge networks, a edge cloud strategy puts smart edge nodes closer to local resources, equipment, and devices, with software to deliver services in a similar way to use of public cloud services. By collecting, storing, and processing data to the limit, companies get meaningful information quickly and can act immediately on that data to deliver better customer experiences.
The edge cloud already provides the architecture for a large number of innovative IoT applications in the agriculture, automotive, construction, healthcare, oil and gas and retail sectors. Edge cloud deployments are excellent at delivering visual experiences, including streaming services, cloud games, and other visual workloads. In fact, a recent survey by Analysys Masons on companies found that 30% of their IT budgets will go to cutting-edge cloud computing resources as early as next year.
Access the intelligence of all layers of computing
Edge clouds are usually hosted in microdata centers and servers in this type of edge cloud environment operate at relatively high temperatures. In complex matters, unlike traditional data centers, microdata centers do not have on-site IT staff to carry out much-needed energy and thermal monitoring and management.
Server asset management is also essential when IT personnel managing cutting-edge cloud environments make decisions based on available computing and storage capacity. Resource information includes CPU, memory, hard drive model, serial number, and other information. Very often, companies manually maintain and manage server assets using a configuration management database (CMDB). However, solutions for this type of asset management tend to offer a limited scope and cannot be easily integrated with existing systems. In addition, this method presents a number of issues, such as the failure to update data in real time and the inability to keep track of maintenance updates on server components.
Data center management solutions, using an easy-to-use control panel, allow you to remotely manage edge cloud implementations. These tools provide high-value management and monitoring capabilities to address energy and thermal issues in edge cloud environments that are difficult for IT staff. Data center management solutions provide real-time, accurate thermal and power monitoring and management for individual servers, server groups, racks, and other IT equipment, such as PDUs. These tools are easy to deploy and offer interoperability between various server models, as well as a wide variety of PDU products and rack vendors.
By providing granular subcomponent error analysis and real-time out-of-band (OOB) usage data on CPU, disk, and memory, data center management solutions enable perimeter cloud data center managers to evaluate with accurately use and monitor server health components. Data center management solutions will even send alerts to remote IT staff about thermal and power events, thus significantly improving server uptime. In addition, these tools offer many asset management functions, such as organizing systems into physical or logical groups, easily searching for systems using their resource labels or other details, and importing and exporting the inventory and hierarchy of a deployment. edge cloud.
Businesses need to make the most of their resources and design edge cloud and IoT strategies more successfully by placing computing in the right layer. Take, for example, endpoint devices, such as smart cameras that monitor security at a mining site, serve as the first line of perimeter calculation, and reside as close as possible to the users, equipment, and operations that they serve. In turn, Edge servers provide a secondary layer for Edge computing, which acts as an intermediary between localized systems and centralized enterprise resources. Finally, a primary or cloud data center operates as another critical layer, which resides further away from the physical endpoints and collects and analyzes long-term data to help the organization understand operational or environmental patterns.
In all of these layers, when a data center management solution is supported, IT staff can make informed, real-time decisions about the deployment, operations, maintenance, and status of their servers and systems. In this way, these powerful tools help companies ensure maximum business productivity while optimizing the quality of the end-user experience.
This article was written by Chao Huang, chief application engineer at Intel Data Center Management Solutions. Learn more about the solutions Intel offers.