Your organization might have deployed a cluster or grid on site. But can these resources always meet your peak demands? For example, what happens when several large projects move into the same simulation and design phase at the same time?
Simply adding hardware to address peak workload requirements, especially if they are short term, is probably not an option. Expanding the physical infrastructure can require significant time, expertise and budget. And the data center may already be maxed out on power, cooling and real estate. What’s the answer?
To address these challenges, at Pulse 2014, IBM announced the IBM Platform Computing Cloud Service, which provides ready-to-run clusters in the SoftLayer cloud that are optimized for compute-intensive technical computing and analytics applications. The Cloud Service comes complete with Platform LSF (SaaS) and Platform Symphony (SaaS) workload management software, dedicated physical machines and the support of the Platform Computing Cloud Operations team.
Organizations that have on-site clusters or grids can quickly address spikes in infrastructure demand by implementing a hybrid cloud. Platform Computing Cloud Service enables these organizations to forward workloads from local infrastructure to a Platform LSF or Platform Symphony cluster in the SoftLayer cloud, quickly accommodating demand without being concerned about security or performance. Because the same workload management software is being used locally and in the cloud, the user experience is seamless—users have transparent access to cloud resources that deliver the same experience as local resources.
Platform Computing Cloud Service also helps organizations that do not have a technical computing cluster on site but can benefit from the added performance and scale of clustered resources. However, companies that are currently using workstations for analytics, simulation and design likely lack the skills to deploy and manage a clustered environment. The skills barrier can be challenging. Domain knowledge is needed just to purchase the infrastructure—for example, to understand the types of servers and the memory-to-core ratio needed for different applications.
Transferring workload from a workstation to multiple, clustered compute entities also requires a whole new way of thinking. And once a cluster is up and running, using it for the first time can also be challenging. With the Platform Computing Cloud Service, organizations can now access an application-ready cluster on a temporary basis in as little as a few hours, instead of the weeks or months it would take to acquire and implement a cluster in-house. They will also have the support of the Cloud Operations team, who has deep expertise in running compute-intensive application workloads on clustered resources.
With powerful cloud-based solutions like these, your organization can easily meet spikes in infrastructure demand without the significant up-front costs of purchasing in-house infrastructure or the ongoing cost of managing the additional resources. You pay only for what is used, scaling cluster capacity up and down as needed. The bottom line: you increase your computing capacity and gain a competitive edge by doing more in less time and with less expense.
Doesn’t that make more compelling? To know more about this exciting capability, visit IBM Platform Computing Cloud Service. You can also connect with us on Twitter, Facebook or LinkedIn for frequent updates.
Product Marketing Director – IBM Software Defined Systems