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| Bright Cluster Manager | |
|---|---|
| Name | Bright Cluster Manager |
| Developer | Bright Computing |
| Released | 2001 |
| Operating system | Linux |
| Programming language | C, Python, Shell |
| Genre | Cluster management, HPC |
| License | Proprietary |
Bright Cluster Manager Bright Cluster Manager is a proprietary cluster management suite for high-performance computing and cloud orchestration, designed to provision, monitor, and maintain compute clusters. It integrates with hardware vendors, operating systems, orchestration tools, and workload managers to support scientific, enterprise, and research deployments. The software targets environments ranging from small research clusters to large supercomputing centers and cloud-native infrastructures.
Bright Cluster Manager provides integrated tools for node lifecycle management, provisioning, monitoring, and orchestration across heterogeneous hardware from vendors like Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro. It supports operating systems such as Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and community distributions like CentOS and Ubuntu. The product interoperates with workload managers and schedulers including Slurm Workload Manager, Torque (software), and PBS Professional, and with orchestration platforms like Kubernetes, OpenStack, and VMware vSphere.
Bright Cluster Manager was developed by Bright Computing, founded by engineers with backgrounds in cluster computing and system administration during the early 2000s technology expansion. The company evolved through collaborations with research institutions and vendors such as Lawrence Berkeley National Laboratory, Argonne National Laboratory, CERN, and Oak Ridge National Laboratory to support production-scale clusters and supercomputing projects. Over time the product adapted to trends led by organizations like Intel Corporation, NVIDIA, and AMD in accelerator technologies and by projects such as Linux Foundation initiatives and the rise of cloud platforms like Amazon Web Services and Microsoft Azure.
The software architecture combines a centralized management head node with agent-based services on compute nodes, integrating components similar to those used in ecosystems represented by Apache Mesos, Kubernetes, and OpenStack Nova. Core modules include provisioning stacks compatible with PXE boot infrastructures used by institutions such as National Energy Research Scientific Computing Center, monitoring subsystems comparable to Prometheus (software), and configuration management patterns akin to Ansible, Puppet, and Chef (software). Integration points exist for GPU and accelerator management driven by NVIDIA CUDA toolchains, Intel MPI libraries, and the OpenMPI project.
Deployment workflows support bare-metal provisioning using tools associated with Preboot Execution Environment, network boot services common in environments like European Organization for Nuclear Research, and integration with fabric management from vendors such as Cisco Systems and Mellanox Technologies. Configuration is achieved through a web-based console and CLI influenced by interfaces from Red Hat Satellite and VMware vCenter, and via automation hooks compatible with Jenkins (software), GitLab, and GitHub Actions. Cluster scaling and topology choices reflect architectural patterns from projects like TACC deployments and commercial clouds run by Google Cloud Platform.
Key features include automated imaging and provisioning, hardware inventory and telemetry, health monitoring and alerting, user and account management, and integration with resource schedulers used by laboratories such as Los Alamos National Laboratory and Sandia National Laboratories. Storage and filesystem support aligns with technologies like Lustre (file system), Ceph, and NVMe over Fabrics, while networking capabilities work with protocols and equipment from InfiniBand Trade Association partners and Ethernet Alliance members. Security and compliance features map to practices from National Institute of Standards and Technology standards and enterprise identity providers like Active Directory.
Adoption spans academic research centers, government laboratories, and commercial enterprises, with deployments in contexts similar to simulations performed at Lawrence Livermore National Laboratory, data analysis pipelines at European Space Agency, and machine learning clusters used by companies like DeepMind and research groups at Massachusetts Institute of Technology. Industries leveraging the product include life sciences research exemplified by projects at Broad Institute, oil and gas modeling like efforts at Schlumberger, and finance firms operating quant platforms inspired by infrastructures at Goldman Sachs.
The product is distributed under a proprietary commercial license, with support offerings and professional services provided directly by Bright Computing and through channel partners such as reseller networks involving CDW and regional integrators. Support models resemble enterprise offerings from IBM and Red Hat with service-level agreements, training, and consultancy for integration with standards maintained by bodies like Open Compute Project and The Linux Foundation.
Category:Cluster management software