ClusterVisor Description
ClusterVisor serves as an advanced system for managing HPC clusters, equipping users with a full suite of tools designed for deployment, provisioning, oversight, and maintenance throughout the cluster's entire life cycle. The system boasts versatile installation methods, including an appliance-based deployment that separates cluster management from the head node, thereby improving overall system reliability. Featuring LogVisor AI, it incorporates a smart log file analysis mechanism that leverages artificial intelligence to categorize logs based on their severity, which is essential for generating actionable alerts. Additionally, ClusterVisor streamlines node configuration and management through a collection of specialized tools, supports the management of user and group accounts, and includes customizable dashboards that visualize information across the cluster and facilitate comparisons between various nodes or devices. Furthermore, the platform ensures disaster recovery by maintaining system images for the reinstallation of nodes, offers an easy-to-use web-based tool for rack diagramming, and provides extensive statistics and monitoring capabilities, making it an invaluable asset for HPC cluster administrators. Overall, ClusterVisor stands as a comprehensive solution for those tasked with overseeing high-performance computing environments.
ClusterVisor Alternatives
Amazon EKS
Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.
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Google Kubernetes Engine (GKE)
Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.
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Red Hat OpenShift
Kubernetes serves as a powerful foundation for transformative ideas. It enables developers to innovate and deliver projects more rapidly through the premier hybrid cloud and enterprise container solution. Red Hat OpenShift simplifies the process with automated installations, updates, and comprehensive lifecycle management across the entire container ecosystem, encompassing the operating system, Kubernetes, cluster services, and applications on any cloud platform. This service allows teams to operate with speed, flexibility, assurance, and a variety of options. You can code in production mode wherever you prefer to create, enabling a return to meaningful work. Emphasizing security at all stages of the container framework and application lifecycle, Red Hat OpenShift provides robust, long-term enterprise support from a leading contributor to Kubernetes and open-source technology. It is capable of handling the most demanding workloads, including AI/ML, Java, data analytics, databases, and more. Furthermore, it streamlines deployment and lifecycle management through a wide array of technology partners, ensuring that your operational needs are met seamlessly. This integration of capabilities fosters an environment where innovation can thrive without compromise.
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AWS ParallelCluster
AWS ParallelCluster is a free, open-source tool designed for efficient management and deployment of High-Performance Computing (HPC) clusters within the AWS environment. It streamlines the configuration of essential components such as compute nodes, shared filesystems, and job schedulers, while accommodating various instance types and job submission queues. Users have the flexibility to engage with ParallelCluster using a graphical user interface, command-line interface, or API, which allows for customizable cluster setups and oversight. The tool also works seamlessly with job schedulers like AWS Batch and Slurm, making it easier to transition existing HPC workloads to the cloud with minimal adjustments. Users incur no additional costs for the tool itself, only paying for the AWS resources their applications utilize. With AWS ParallelCluster, users can effectively manage their computing needs through a straightforward text file that allows for the modeling, provisioning, and dynamic scaling of necessary resources in a secure and automated fashion. This ease of use significantly enhances productivity and optimizes resource allocation for various computational tasks.
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Integrations
Company Details
Company:
Advanced Clustering
Year Founded:
2001
Headquarters:
United States
Website:
www.advancedclustering.com/products/software/clustervisor-2/
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Product Details
Platforms
Web-Based
Linux
Types of Training
Training Docs
Live Training (Online)
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In Person
Training Videos
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Business Hours
Live Rep (24/7)
Online Support
ClusterVisor Features and Options
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