In the world of Big Data, bare metal is king. Many companies are seeking an architecture that allows for full utilization of resources like I/O and throughput, but we often hear from you that when it comes to Big Data you are forced to trade the advantages of cloud (elastic, on-demand, flexible) for the consistency and predictability of bare metal. We don’t think you should have to sacrifice one for the other.
Last week, we announced the availability of OnMetal, API-driven instantly provisioned bare metal servers. Building a great product not only requires a coherent vision but also a collaborative cross functional execution to successfully bring it to market. Through a series of videos, we want to give you a sneak peek into the story behind OnMetal. In today’s video you will hear from the OnMetal team about the motivation behind building it.
Since we launched the limited availability of OnMetal™ Cloud Servers – single-tenant bare-metal servers provisioned quickly via the cloud – last month, our customers have shown great interest. Some of them are looking to move away from the unpredictable nature of virtualized, multi-tenant environments, while others are intrigued by our promise of “elasticity of the cloud, plus economy of colocation” – particularly the economy side of it.
For big or rapidly growing Internet companies, one of the largest pains is scaling their application. We often hear about companies that must re-write their entire architectures from scratch every time traffic grows by 10 times. And then they spend significant engineering resources continuously reworking major parts of their architectures even after those rewrites.
We all want the best of both worlds: a car that’s sexy and fast, as well as safe and affordable; a meal that’s healthy and also satisfying. When it comes to IT, companies that are operating at scale have been telling us for years that they wish they could get the agility of the multi-tenant public cloud, along with the simplicity, consistent performance, and predictable cost of single-tenant servers.
Not all data is created equal. Each company’s data strategy needs to be laid out with consideration and thought as to what the future demands of the system might be. Although HadoopTM has its roots firmly planted in the JBOD and bare metal camps, users are increasingly trying to find ways to split up data processing based on workload requirements and on the nature of the type of query they are running.
Dedicated hardware is one of the pillars of the Rackspace Hybrid Cloud, which blends dedicated servers with public cloud and private cloud to create the best fit for each customer’s specific IT needs. Many of our customers come to us from a one-size-fits-all public cloud, and they tell us that the hybrid cloud approach has improved the performance, reliability and overall cost of their infrastructure.