JS7 JobScheduler
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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MongoDB Atlas
MongoDB Atlas stands out as the leading cloud database service available, offering unparalleled data distribution and seamless mobility across all major platforms, including AWS, Azure, and Google Cloud. Its built-in automation tools enhance resource management and workload optimization, making it the go-to choice for modern application deployment. As a fully managed service, it ensures best-in-class automation and adheres to established practices that support high availability, scalability, and compliance with stringent data security and privacy regulations. Furthermore, MongoDB Atlas provides robust security controls tailored for your data needs, allowing for the integration of enterprise-grade features that align with existing security protocols and compliance measures. With preconfigured elements for authentication, authorization, and encryption, you can rest assured that your data remains secure and protected at all times. Ultimately, MongoDB Atlas not only simplifies deployment and scaling in the cloud but also fortifies your data with comprehensive security features that adapt to evolving requirements.
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IBM Power Servers
IBM Power® enables clients to swiftly adapt to evolving business requirements, safeguard data across core and cloud environments, and enhance insights and automation, all while ensuring sustainable reliability. With its capability to modernize both applications and infrastructure, Power offers a seamless hybrid cloud experience that delivers the agility essential for businesses. The IBM Power S1014, a 1-socket, 4U Power10 server, is tailored for essential workloads on AIX, IBM I, or Linux platforms. Meanwhile, the IBM Power S1024, featuring a 2-socket, 4U Power10 design, operates on a pay-as-you-go model, allowing resource sharing among systems. Comprehensive data security is ensured through memory encryption at the processor level, and exceptional reliability and availability minimize downtime. Ultimately, these solutions are designed to empower organizations to thrive in a competitive landscape.
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IBM z16
The IBM z16 platform introduces cutting-edge AI capabilities and robust cyber resilience for hybrid cloud environments, utilizing pioneering on-chip AI inferencing alongside first-of-its-kind quantum-safe technologies. This development enhances hybrid cloud solutions, significantly reducing the risks associated with modernization and positioning itself as a crucial element for successful digital transformation. With the ability to speed up decision-making processes, businesses can gain the agility needed to advance effectively. Additionally, the platform operates with a reduced energy footprint, which helps lower costs while prioritizing sustainability throughout the entire product lifecycle. AI integration is purposefully designed to enable faster and more informed decision-making at scale. By embedding AI within enterprise transactional processes, organizations can uncover valuable business insights that differentiate between seizing revenue opportunities and facing financial losses due to fraud. This innovative approach not only drives efficiency but also empowers businesses to navigate the complexities of the modern digital landscape.
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