Virtualizing Data Centers for Digital Transformation

Many of the data center management systems being used to oversee operations have become ineffective and are difficult to deploy.

Instead, it’s the combination of intelligent software, processes and people that’s necessary to provide a service-oriented approach to IT, facilities, and data center physical infrastructure management. Such an approach addresses the need for greater flexibility, agility and cost-effectiveness. And it all begins with a team that can seamlessly integrate within an organization to provide deployment and operations oversight, workflow administration, and data center IT and facilities staffing support. 

Breaking the cycle of overcapacity
and under-utilization

IT infrastructure requires scalability to ensure an organization has room to grow, whether that means rolling out a new product or service or expanding into a new or existing market. True responsiveness is built on the foundation of in-depth, real-time data and the ability to glean comprehensive insights into data center infrastructure behavior, including power capacities and utilization rates, server asset life cycles, and cable management.

Data center management services provide a deep and holistic view into all data center assets, which helps to successfully drive capacity planning, change management, lifecycle management, and efficiency in day-to-day operations. Gaining insight to available capacity across on-premise, colocation, or cloud data center environments allows IT managers to operate and deliver cloud-like services to their business through informed decision-making.

Where capacity planning, forecasting, utilization and lifecycles are concerned, it is also advantageous to be able to gain insight into ‘what if’ scenarios. For this reason, predictive analytics are essential in helping create an efficient operational environment across a data center, or even over multiple facilities and cloud platforms. It’s also the key to maximizing asset utilization through accurate forecasting, whereby real-time metrics are analyzed and data accuracy over time is validated and ensured. The goal is to break the cycle of overcapacity and underutilization while providing a clear path to a new digital data center operating model that reduces costs and maximizes physical asset utilization. Through virtualization, such a digital data center creates workflow and service efficiencies with comprehensive KPIs and reporting for the management of everything from cables to clouds. 

Wondrous technologies, but not without risk

Today, many of the data center management systems being used to oversee operations have become ineffective and are difficult to deploy. These systems have not been built to bring together people, processes and platforms; instead, they have been about vendors selling software rather than organizations achieving physical freedom.

Such systems have failed to keep pace with the demands of the latest compute-intensive workloads, including AI, ML, industrial and consumer IoT, 5G wireless networks, and multi-cloud. These disruptive technologies are having a seismic impact on enterprise IT and data center operations in terms of scale, latency, performance, resilience and security, where services must be delivered in the context of maximum energy-efficiency and lowest cost. In fact, to cope with new capacity demands, hyperscalers, telcos, banking and finance, pharma and life sciences firms are already optimizing their data centers. They recognize the risk of being constrained by their infrastructure and burst thresholds unless correct data center capacity planning is based on actual data. The new reality is that even while multi-cloud is considered “bursty”—meaning, an application runs in a private cloud or data center and bursts into a public cloud when the demand for computing capacity spikes—data sets and transport demands from AI, IoT and smart applications can be wildly unpredictable.

Meanwhile, there’s the challenge of ensuring capacity is availability for critical applications. Data center operators must plan, deliver and optimize for these new workload conditions. These can include IT asset changes and configuration, including lifecycle management, capacity and asset planning across all data center locations. Accommodating the workload demands of next-generation applications will require maximum utilization and efficiency at the infrastructure layer, which means all physical infrastructure management must become digital. 

Only when enterprise and colocation data centers are managed and operated as cloud-like services will IT staff be able to focus on driving business growth and revenue-generating initiatives, and CIOs and CTOs be able to plan and execute their journeys toward digital transformation.


Latest Updates

Subscribe to our YouTube Channel