This article concludes our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. Here we highlight how resource management systems that can manage clusters on-premises or in the cloud greatly simplify cluster management.
Download the full report.
Advanced resource management systems, such as Bright Cluster Manager, can manage clusters on-premises or in the cloud with the same set of interfaces and monitoring tools. This greatly simplifies the cluster management task as different tools do not have to be learned for managing a cluster based on whether it is located in the company data center or in the cloud. This saves time and expense and results in a smoother operation.
What is critically important is that the cluster management system coordinates the workloads that are performed in the cloud with the workloads that are being performed in-house.
An additional benefit is the ability to manage “bursting” to cloud resources. When more work needs to be performed than the on-site data center has the capacity for, additional resources can be instantiated with the preferred cloud vendor. What is critically important is that the cluster management system coordinates the workloads that are performed in the cloud with the workloads that are being performed in-house.
When the cloud instances are no longer needed, in order to save on costs, these compute instances need to be removed as soon as the resources are no longer needed. When looking for cluster management tools that can address the new world of cloud computing, Bright Cluster Manager is an ideal candidate.
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Modern enterprises are being challenged to implement new technologies and produce results faster without increasing their IT budgets. Diverse workloads like big data, deep learning, and cloud computing add to this challenge. System administrators need processes and easyto-use tools to optimize and manage the array of available storage resources, whether in the data center or in conjunction with a cloud computing environment.
The Bright Cluster Manager easily orchestrates cluster usage for a wide range of workload types, independent of where the cluster resides, increasing application throughput and IT efficiency. This can lead to first-to-market, more innovative designs, and new business insights
The insideHPC Special Report on scheduling solutions for easier workload convergence in data centers also covered the following topics:
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Successfully Managing Workload Convergence in Your Data Center
- Clusters & Cloud Computing: Speeding up HPC Systems Management
- The Three Types of Clouds
Download the full report, “insideHPC Special Report: Successfully Managing The Convergence of Workloads In Your Data Center,” courtesy of Bright Computing.
