Can HyperConvergence minimize the effects of Data Explosion_
There are two things businesses are really worried about these days; managing the big data explosion and increasing their ROI value. Whether it’s the case of a small business or an ever-expanding enterprise, everyone seems to be drowning in data.
Around 15 years ago, standard hard drives had capacities of over 36 GBs and today’s hard drives can store up to TBs of data. IDC has predicted that the world will create over 163 zeta bytes of data on an annual rate by 2025. However, increased data growth and hard drive storage capacities aren’t really correlating to improve performance. With such growth, infrastructure performance can’t keep up with high volumes of data, causing inefficiencies like downtime.
Data is also posing further challenges for businesses such as storage and security. All time data availability is so critical that businesses can’t afford to avoid legal compliance and need to have secure plans in place for recovery in case of disasters, malicious attacks or system failure. These factors put a lot of pressure on the firm’s IT staff. IT managers therefore face many problems when it comes to data:
To make data available around the clock, IT structures are needed that minimize downtime for businesses, which makes Recovery time and point objectives even more critical. Slow data access isn’t even an option as data continues to grow and selecting vendors for such problems is an even bigger issue. The solution lies in making data efficient. Data efficiency technologies include deduplication, snapshotting, compression and optimization are improving the performance of IT infrastructures implemented at datacenters.
So how can businesses ensure peak performance in a cost-effective manner in this post visualization world? It can be rightly said that data centers and their operations need to evolve to meet the needs of tomorrow. A lot of companies opt for flash storage as a way to combat stagnant performance. Flash storage does a good job for removing performance bottlenecks, but it proves to be very expensive and doesn’t support every stage of the data lifecycle.
HyperConvergence to the rescue
HyperConvergence is also a great solution that leverages flash/SSD technology and increases data efficiency and data center performance. HyperConvergence technology is a software-defined architecture that combines storage, network and compute by leveraging on virtualization. All the components are tightly knit together for allocation using the Hypervisor. The technology helps make data efficient for storage, migration, tracking, backup and protection.
HyperConvergence runs virtualized workflows across single scale out architectures without any management complexities or hardware issues. Instead of segregating storage workflows according to how data is used, the workflows are managed through a single group offering peak performance and resiliency. HyperConvergence helps your keep your IT infrastructure agile while allowing you to keep your competitive edge. HyperConvergence and its ability to handle unprecedented data growth is a testament to growing cloud trends and virtualization.
While grappling with data growth, every business strives for 100% uptime to maximize revenue and customer satisfaction without heavily investing in expensive IT infrastructure and trainings. If by now you’re convinced that HyperConvergence is the way to go for your ever-growing data center needs, then opt for StarWind HyperConverged Appliance (HCA). The appliance is built in with Dell OEM servers and offers all the benefits one seeks from HCI technology. You don’t have to worry about picking out the right hardware and software. StarWind helps you migrate all your applications and integrates the HCA in your datacenter, for free. The appliance only uses a single onsite node and truly offers the benefits of virtualization technology. You’re even provided with HCA ProActive Support that monitors clusters around the clock while predicting failures and appropriately reacting to any situation that may jeopardize the performance of the data center.