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.
The idea economy (a term coined by HPE) represents a new paradigm, where a company (of any size) can add value and disrupt the market faster than ever—thanks to the advancement of the public cloud, mobile devices, social media, and big data analytics. Transforming your data center into an agile, hyper-connected enterprise IT environment that can handle the challenges of the idea economy will require some investment. But that investment is probably less than you might think and there are multiple ways to approach financing that won’t break the bank.
IDC completed a web survey involving 83 end users that have purchased and deployed Hewlett Packard Enterprise (HPE) SimpliVity solutions in their organizations. IDC also gathered qualitative data by conducting in-depth phone interviews with three customers using SimpliVity in production environments. This post aims to share the results of those surveys to show you what customers are saying first hand.
As we discussed in our white paper, “Augmenting and Enhancing Your Existing Network with a Hybrid Cloud,” there are many advantages of a hybrid cloud model such as greater levels of redundancy and elasticity. To acquire the advantages that a hybrid cloud offers requires a lot of planning and preparation. We have compiled a comprehensive checklist to aid you in the preparation of your deployment.
Last week we published part one of this two-part blog series, “How to Successfully Navigate Enterprise Storage Sizing and Pricing Issues.” This week, we will focus on challenges related to how to think about enterprise storage and how to evaluate it.
Today’s IT leaders are at a crossroads. Behind them, there’s a long legacy of hardware and software deployment decisions that have served the business well for years. But new business requirements and application development methods have begun to test the status quo, and as they seek to modernize, they will face several difficult decisions. IT leaders can either commit to the cloud, go all in with on-premises infrastructure or evaluate something entirely new.
Despite the growing popularity of cloud-based workloads, many companies’ own enterprise data centers keep thriving and growing. Among these on-going investments is the need to upgrade or replace an organization’s current enterprise storage. Often considered the central cog in a data center network, enterprise storage plays a key custodial role in housing many organizations’ mission-critical data assets.
