
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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NinjaOne automates the hardest parts of IT, empowering more than 20,000 IT teams. By providing deep insights into endpoints, robust security measures, and centralized control, NinjaOne boosts efficiency while safeguarding sensitive data and cutting IT expenses. This comprehensive platform offers a versatile toolkit for managing and securing endpoints, including patch management, mobile device oversight, software distribution, remote support, backup solutions, and more, thanks to its extensive IT and security integrations.
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AWS Well-Architected
The AWS Well-Architected framework is designed to guide cloud architects in creating secure, efficient, resilient, and high-performing infrastructures tailored for a variety of applications and workloads. This framework is organized around six key pillars: operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. By offering a uniform methodology for assessing architectures, it enables the implementation of scalable designs. Additionally, it features domain-specific lenses, interactive labs, and the AWS Well-Architected Tool, which is a complimentary service within the AWS Management Console that facilitates regular assessments of workloads, highlights critical issues, and tracks improvements. Furthermore, AWS enhances this process through the AWS Well-Architected Partner Program, connecting users with a broad network of partners to help analyze and evaluate their applications effectively. The combination of these resources ensures that organizations can build infrastructures that not only meet current demands but are also prepared for future growth and challenges.
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Gambit Balens
Gambit Balens is a platform that focuses on AI-driven cyber resilience, aiding organizations in ensuring digital continuity by persistently assessing the recoverability of their infrastructure, backups, and applications in the event of disruptions. The platform’s central system, known as Balens, serves as a centralized control layer that intricately maps out cloud environments, infrastructure-as-code setups, security tools, and backup solutions to illustrate the dependencies of business applications on crucial resources. Through the creation of this dynamic map of an organization's ecosystem, it can pinpoint weaknesses in backup strategies, redundancy, and configurations that might hinder recovery during incidents like ransomware attacks or system outages. Rather than depending on sporadic disaster recovery drills or manual checks, Balens continuously monitors the organization’s resilience status, indicating the ability to restore applications and the speed of recovery. This innovative approach not only enhances preparedness but also provides organizations with real-time insights, enabling them to make informed decisions about their cyber resilience strategies.
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