In today’s competitive business environment, many companies are looking for ways to maximize value and streamline their operations. One area that often comes under scrutiny is their IT operations and infrastructure. The business value of information technology is well understood by most organizations. While they may be hesitant to entrust a third party with their data network, in many cases, outsourcing IT is a cost-effective decision with substantial ancillary benefits.
Machine learning is frequently used interchangeably with artificial intelligence, and while the two are similar, they’re not quite the same and have different implications for data centers. Artificial intelligence refers broadly to a machine’s ability to simulate human intelligence by performing human-like tasks while adjusting to new situations and stimuli. Machine learning is a subset of artificial intelligence research that focuses specifically on a computer’s ability to learn new tasks or to perform existing tasks more effectively on its own without human direction.
Use this checklist to help protect your investment, mitigate potential risk and minimize downtime during your data center migration.
Selecting a data center partner can be a stressful and confusing experience for many companies. From massive hyperscale facilities to smaller edge computing facilities, there are several types of data centers to choose from and not all of them are created equally. But no matter what services and features your business requires, there is one thing that all data centers have in common that should be at the forefront of every decision: The service level agreement (SLA).
The need for data centers is rising, but providers must capitalize on the demand and learn how to stand out from competitors. Here are five ways they can do that.
For many companies, making the decision to migrate IT infrastructure into a data center environment is seen as a trade-off. On the one hand, they want to capitalize on the wide range of services modern data centers can provide, either through colocation options or data center as a service (DCaaS) offerings. But on the other hand, many organizations worry about relinquishing direct control over their valuable data and IT assets.
Every data center offers some measure of on-site support, but some go above and beyond to benefit colocation customers. These data centers offer remote hands, teams of technicians who handle internal IT issues within the data center environment so customers don’t have to constantly send their own staff to the facility when an issue arises. More comprehensive and involved than conventional on-site personnel, remote hands services offer a number of important advantages to data center customers.
Optimizing a data center makes the facility increasingly attractive to clients, more agile when meeting needs, and less prone to downtime, among other benefits.
Designing the next-generation, intelligent, software-defined data center requires experience and knowledge of scalable, high-density infrastructure; efficiencies around power, space and cooling; data center infrastructure management (DCIM) and more. Data centers have changed a lot in recent years as technology has improved and increased server density. Several factors like blade servers, virtualization, the demands of cloud computing and big data have, and continue to play a role. These next-generation data centers must be engineered from the ground up to meet not only the current needs of cloud and virtualized deployments, but also be able to scale for the future.
Recently someone asked the question on Quora.com, “Why are there data centers in NYC?” They made some great points about how real estate, electricity, salaries, taxes, and more are very expensive in a large city. After all, there must be a good reason for data centers in NYC other than being able to get bagels 24 hours a day.
Imagine for a moment that it’s 2 in the morning and you receive an alert that a critical part of your website has gone down. As a result, customers across the world are unable to buy your products and services. Every moment that the system is unavailable, it’s costing your company money. “To provide a financial perspective on the issue, a 49 minute outage suffered by Amazon.com last year cost the business more than $4m in lost sales”, said Simon Withers with business2community.com.