Our product, the Gridware Cluster Scheduler, is a workload management system that optimizes the distribution and execution of tasks and jobs across computing resources such as servers, clusters or cloud instances. The primary goal is to ensure that resources are used efficiently while meeting various requirements such as priorities, performance targets and resource constraints.

Key features include:

• Job scheduling: Assign tasks or jobs to available resources based on pre-defined criteria such as priority, resource availability and dependencies.
• Resource Allocation: Manage the allocation of computing resources (CPU, memory, storage, software licenses, …) to tasks based on their requirements and the overall system capacity.
• Load balancing: Distribute tasks evenly across available resources to avoid overloading any particular resource and ensure optimal performance.
• Monitoring and reporting: Collect and analyze data on resource usage, job completion times and system performance to identify bottlenecks, predict future resource requirements and optimize resource allocation.
• Priority Management: Supports different levels of task priority to ensure that critical jobs are completed promptly, while less important jobs can be delayed or deprioritised during peak periods.
• Fault Tolerance: Implementing failure handling mechanisms such as job retries, automatic failover and rescheduling to maintain system reliability and availability.
• Scalability: The ability to dynamically scale the system to accommodate changing workloads and resource requirements, such as adding or removing servers or adjusting resource allocations based on demand.