JS7 JobScheduler
JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API.
Platforms
- Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc.
- True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid use for cloud and on premises
User Interface
- Modern, no-code GUI for inventory management, monitoring and control with web browsers
- Near real-time information brings immediate visibility of status changes and log output of jobs and workflows
- Multi-client capability, role based access management
High Availability
- Redundancy and Resilience based on asynchronous design and autonomous Agents
- Clustering for all JS7 products, automatic fail-over and manual switch-over
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ActiveBatch Workload Automation
ActiveBatch by Redwood makes setting up and launching automation easy with no custom scripting required. With a low-code Super REST API adapter, over 100 pre-built job steps and a user-friendly drag-and-drop workflow designer, you can integrate across any system, application and data source, on-prem, in the cloud or in hybrid environments.
Maintain complete control and visibility and meet SLAs with monitoring of all automation from a single pane of glass and get custom alerts via emails or SMS. Managed Smart Queues dynamically scale resources for high-volume workloads, reducing process times while the self-service portal enables business users to run and monitor workflows independently.
ActiveBatch meets security and compliance standards, with ISO 27001 and SOC 2, Type II certifications, encrypted connections and regular third-party tests, always keeping security at the forefront. Along with ongoing product advancements, get the added benefit of 24x7 support and on-site training.
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Open iT ComputeAnalyzer™
Open iT ComputeAnalyzer™ provides a centralized view of system and HPC resource usage to improve performance and capacity planning. It meters CPU, memory, and I/O usage across distributed GRID computing environments, supporting major job schedulers including IBM Spectrum LSF, PBS Professional, OpenPBS, Oracle Grid Engine, and Torque. ComputeAnalyzer tracks queue performance, job activity, wait times per user, and the root causes of failed or pending jobs, giving IT and engineering teams the visibility they need to eliminate bottlenecks and maximize cluster efficiency. It also enables accurate IT chargeback by breaking down resource consumption by user, project, department, or business unit. Usage data can be exported to preferred BI tools for further analysis, and the solution integrates natively with LicenseAnalyzer and StorageAnalyzer for a complete picture of software, storage, and compute asset utilization.
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Slurm
Slurm Workload Manager, formerly known as Simple Linux Utility for Resource Management (SLURM), is a free, open-source job scheduler and cluster management system for Linux and Unix-like kernels. It's designed to manage compute jobs on high performance computing (HPC) clusters and high throughput computing (HTC) environments, and is used by many of the world's supercomputers and computer clusters.
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