
JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows.
JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control.
JS7 can operate thousands of Agents across any platform in parallel.
Platforms
- Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc.
- True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc.
- Hybrid cloud and on-premises use
User Interface
- Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers
- Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows.
- Multi-client functionality, role-based access management
- OIDC authentication and LDAP integration
High Availability
- Redundancy & Resilience based on asynchronous design and autonomous Agents
- Clustering of all JS7 Products, automatic fail-over and manual switch-over
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Accelerate your journey to a fully operational Kubernetes setup and streamline lifecycle management with Nutanix Kubernetes Engine, an advanced enterprise solution for managing Kubernetes. NKE allows you to efficiently deliver and oversee a complete, production-ready Kubernetes ecosystem with effortless, push-button functionality while maintaining a user-friendly experience. You can quickly deploy and set up production-grade Kubernetes clusters within minutes rather than the usual days or weeks. With NKE’s intuitive workflow, your Kubernetes clusters are automatically configured for high availability, simplifying the management process. Each NKE Kubernetes cluster comes equipped with a comprehensive Nutanix CSI driver that seamlessly integrates with both Block Storage and File Storage, providing reliable persistent storage for your containerized applications. Adding Kubernetes worker nodes is as easy as a single click, and when your cluster requires more physical resources, the process of expanding it remains equally straightforward. This streamlined approach not only enhances operational efficiency but also significantly reduces the complexity traditionally associated with Kubernetes management.
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Kubernetes
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