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.
Reliable networks are more important than ever, as businesses use them to access corporate and cloud resources. Users are constantly connected via mobile devices throughout the day and night. For these businesses, network outages can be costly, with an average downtime of 7 ½ hours for private data centers, cloud, and traditional hosting. Every minute of this downtime quickly translates to lost revenue.
Use this checklist to help protect your investment, mitigate potential risk and minimize downtime during your data center migration.
Determining your organization’s right mix of public, private and hybrid cloud options sets you up to make a smart approach to cloud migration. And all successful migrations begin with a migration plan.
Determining business and technical requirements and considering technology options may be the first two steps to launching a multi-cloud architecture, but step three, understanding your challenges, often proves to be one of the most critical. In the third entry of our five-part blog series, we’ll explore why that is and highlight three specific challenges that shackle many multi-cloud deployments.
After going through the rigorous process of defining requirements, considering technology and addressing potential challenges, evaluating your multi-cloud options should be the fun part. The good news is you have plenty of options to evaluate, and your greatest advantage is understanding all of them.
The first step to constructing and implementing a multi-cloud approach is determining your needs. But once needs are determined, then what? Learn here in the second blog of our five-part blog series.
The benefits of the public cloud are well-documented and widely accepted, but are they enough? Prospective benefits of cost savings, infrastructure scalability and ease of management drive many businesses to cash in on the public cloud. Unfortunately, these businesses often learn after the fact that a public cloud deployment isn’t a one-size-fits-all solution, which is why many high-profile companies, including Dropbox and Facebook, are pulling public cloud workloads back down to private, on-premises environments to better meet performance, security and budget requirements.
According to Research & Market’s “Global Data Center Cooling Market – Strategic Assessment and Forecast 2017-2022”, the data center cooling market is growing – rapidly. In fact, the report projects it to be worth a staggering $12 billion in just five short years. This sky-rocketing demand is driving many in IT to explore why the market is growing so quickly as well as how they can improve cooling in their data center environments.
Sustainable Data Centers are Good for Business and Great for the Environment As data center growth accelerates due to demand from device proliferation, IoT, and SaaS providers, so too does the demand of energy that they consume. According to a Cisco white paper, “Global Cloud Index,” which investigated how the cloud space will evolve over the next four years, cloud services growth will continue to expand and transform both the scope of data centers and the supporting data center ecosphere.
VPLS, a VPN based WAN Solution that is getting some well deserved attention. Ten years ago, 80% of business data was generated and consumed internally, and only 20% external. Now, the ratio is reversed with 80% of data existing generated from external sources, a trend that is only going to increase with IoT. This shift changes how an enterprise CIO, CTO or network admin thinks about data and connectivity.