Here is a quick round-up of some of the key challenges that data centers face today, and how all of them can be fixed with just one solution:
Professional wise, data center managers are in a fix. Ballooning data volumes, mounting mission critical applications, increasingly complex IT environments, stringent regulatory and compliance issues, and the ever-elusive challenging SLA that he/she has to achieve against all these enormous odds.
Business wise, the biggest challenge for today’s data centers is the wide gap between data management capabilities and the business expectations. You cannot take a long period to design a data application or to build an infrastructure to run it. Iteration on functionality or any other tweaking must be addressed quickly. In short, application must be agile and infrastructure must be able to deploy quickly.
Technologically wise, existing data centers are incapable to take the load of big data. And it’s not a matter of scale only. It has more to do with data complexities. The growing mix of both structured and unstructured data is turning out to be the Achilles’ heel for the current RDBMS based data centers. RDBMS can take care of the structured data but different technology stack is required to look after the unstructured data.
Functionality wise, you have to burn the midnight oil designing schemas and planning indexing strategies. Query language has to be tweaked fully to optimize application performance. All these spade work has to be done eve before you load the data.
Infrastructure wise, enterprises have started embracing virtualization to overhaul their data centers. Virtualization allows creation for VM (Virtual Machine) that share hardware resources enabling multiple operating systems to run on the same platform. So, the benefits are many: reduced power consumption, smooth migration, and high availability for mission-critical application deployment. But virtualization has got its fair share of hurdles like: security, back up management, and talented admin to write strong policies that can counter all possible VM sprawl in the future.
Solution wise, hyperconvergence can solve all the above problems as the technology offers dual benefits of better VM performance and simple IT management. Unlike the typical ad-hoc adds or servers for building blocks running into high cost, hyperconvergence allows you to build blocks with scalability at a dramatically lower cost; thanks to the component pre-integration. Like the Nutanix’s hyperconvergence solution that saves hardware costs by 40% to 60%, reduce power consumption by 90% and increase deployment speed by 8X times. Capabilities of hyperconvergence:
- Seamlessly combine several data centers
- Quickly deploy virtualized workloads
- Reduce complexity with commodity hardware
- Enhance operational efficiency with high degree of automation
Industry wise, by 2015, hyperconvergence has become an $807 million industry (as per conservative IDC estimate). As companies look out to consolidate data centers to reduce costs, improve IT efficiencies and simplify IT management – hyperconvergence is turning out to be the most preferred solution for today’s data centers. And the trail will continue.