JAMS
JAMS is an automation orchestration and job scheduling solution that works across applications, APIs, and scripting languages. Run, monitor, and manage critical IT processes—from simple batch jobs to cross-platform workflows—from a single pane of glass.
JAMS can automate jobs on any platform - Windows, Linux, UNIX, IBM i, zOS, and OpenVMS and includes native application integrations to run jobs specific to databases, BI tools, and ERP systems. Its extensive automation features enable you to run jobs on any schedule, as well as trigger off the completion of other events. JAMS centrally monitors the status of all jobs, provides notifications of failure (or success), and maintains a detailed audit trail and log of every execution.
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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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Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.
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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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