Today, work doesn’t just happen at the office. To stay competitive and increase productivity, enterprises around the globe are looking to hyperconverged infrastructure (HCI) with VM support to provide increased flexibility compared to conventional hardware-defined infrastructure.
Change is inevitable but, for the IT industry in recent years, it’s been nothing short of significant and disruptive. The era of big data is providing enterprises significant opportunities to make better-informed business decision by leveraging analytics, artificial intelligence, and machine learning technologies.
Correlation may not equal causation, but the link IDC research draws between digital transformation and business success is a strong one. The digital transformation needed to support today’s dynamic business models include a host of new technologies: solid state storage, artificial intelligence and machine learning (AI/ML), software-defined infrastructure, and cloud, among others.
The administrators of today’s virtual machines are tasked with what may seem practically impossible. The complex system requires multidomain experience under the constant pressure of supporting both traditional and modern applications, the nonstop battle against VM sprawl, and the ever-present need to cut costs.
WEI often works with clients in both areas of backup and disaster recovery at the same time. We find it’s often beneficial for them to be part of a single strategy since the function of backup and DR relates so closely together (recovering from some sort of event). They do have slightly different goals, however. With backup, you might be looking at a smaller data loss, such as accidental deletion or corruption of files.
Business models are constantly evolving as enterprises undergo digital transformation – an inevitability as industry moves towards the on-demand service that customers look for today. Last week we explored how HPE GreenLake can help build a custom solution for your business’s storage needs. Today, we’re diving into why it makes financial sense, too.
It’s an almost universal truth across industries these days that business models are changing as the pace of digital transformation gains speed. Today’s economy is focused on giving the customer what they want, when they want it, meaning IT teams must be both agile and flexible to support their business and see it succeed.
Applications are the fuel that runs the modern digital business machine. When the
infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, ensuring availability and performance was the responsibility of IT, but in today’s technology landscape the industry needs to evolve and reset the requirements on vendors.
Nearly every enterprise is in the process of expanding their use of cloud. This makes a lot of sense; the cloud enables IT teams to speed up the delivery of services while reducing operational costs. The process is far from easy, however. Cloud implementation has become complex and difficult for businesses to handle without seeking qualified advice outside their internal IT resources—and without the right expertise of cloud-native automation, companies risk losing the benefits that prompted their cloud investment in the first place.
Digital transformation is reinventing the IT infrastructure. Enterprises are shifting to software-defined data centers and the new technology that comes with them. AI and machine learning (ML), cloud utilization, and software-defined storage are just a few of the many new tools that organizations now employ to help them harness the power of their data. As a result, IT infrastructure management has become increasingly complex. IT staff can no longer be expected to manage every part of the infrastructure. However, the answer to this issue is simple: let technology manage itself. AI/ML intelligent data platforms can provide comprehensive data management throughout the infrastructure.
