Many enterprises are undergoing a digital transformation as they move towards business models that collect and use data as a strategic digital asset. This information is used to drive better insights and improve agility, but as the demands for in-depth collection, analysis, and response grow older, technologies can’t meet the evolving requirements.
Aging server infrastructures are fraught with challenges. Poor performance, lack of automation, security vulnerabilities, and skyrocketing operational costs are only a few of the critical problems aging server infrastructures represent. Clinging to legacy servers can put your business at risk.
As enterprises continue to find their way in this digital era, the function of the IT organization is changing to take on a leadership role in digital transformation. As a result, technology investment decisions are now driven by strategic vision as well as tactical goals.
The software defined data center (SDDC) has been used by many companies and people since 2012. The idea of this concept involved virtualizing the components most critical to data center operations. The three angles these technologies work to simplify and combine are compute, storage, and network functionalities. SDDC can:
Last week, we looked at the top 7 multicloud success tips. Some of the tips discussed included taking advantage of visibility, optimizing predictive analytics capabilities, and preparing for the data center of today and tomorrow.
Information Technology as a Service (ITaaS) represents a change in paradigm when it comes to managing IT. When you treat IT as a service provider, you can ensure that your enterprise has exactly the right amount of hardware, software and support to fit the unique and changing needs of your business. You'll find that you are more agile and able to deal with whatever comes up. And, you'll find that, under an ITaaS model, you'll save time and money, dramatically improving your bottom line.
Enterprise mobility is a key strategic component of any digital transformation strategy. When handled properly, it can help you better serve your customers through both mobile devices and laptops, while also helping your organization clarify its technology efforts with a “digital-first” mindset.
One of the reasons why IoT is so vulnerable to attacks is the lack of visibility in what is truly happening in your environment. This is where edge computing comes in. Edge computing is about keeping compute proximal to the physical environment where it is collected in the first place, rather than forwarding everything to the cloud (particularly processing and storage). In the same way that the client/server computing model replaced the mainframe, enterprises are beginning to realize the benefit of a distributed computing model when it comes to IoT. Client/server architecture put processing power in physical proximity of the end user. Edge computing provides a local segmented processing network for IoT devices.
If your career centers on enterprise architecture, then you are literally watching history repeat itself in real time. Decades ago, enterprise resources and processing power were concentrated within the mainframe and users had to work in close approximation of it. But then, users from the outer perimeters started demanding more capabilities, which translated into more resources where they were—at the edge. This introduced the PC, which decentralized enterprises and transitioned in the era of the client server model that users loved. Once again, the technology cycle is about to repeat itself.
Software as a service and many other digital business models have never been the same since the possibility of leveraging hybrid IT. Thanks to it, an organization can deliver services in a more optimized, balanced, automated, granular, and flexible fashion.