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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RunMyJobs by Redwood
RunMyJobs by Redwood is the only SAP endorsed and premium-certified and the most awarded SAP-certified SaaS workload automation platform and only allowing enterprises to achieve end-to-end IT process automation and unify complex across any application, system or environment without limits and with high availability as you scale.
We're the #1 job scheduling choice for SAP customers with seamless integration to S/4HANA, BTP, RISE, ECC and more while maintaining a clean core.
Empower teams with seamless integration with any present and future tech stack, a low-code editor and a rich library of templates. Monitor processes in real-time with predictive SLA management and get proactive notifications via email or SMS on performance issues or delays in all your processes.
Redwood team provides 24/7/365 day global support with the industry’s strongest SLAs and 15-minute response times and a proven approach to migration that secures continuous operations, including team training, on-demand learning and more.
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Turn it Off
Turn it Off, a low-barrier FinOps platform with a light touch, is designed to help you reduce cloud costs and CO2 emissions instantly.
With Turn it Off, you can easily turn off any non-production cloud environment and resources when not in use. Some of its main features include:
- Intelligent latency-detection: automatically turn off non-production environments, and resources that are not in use. This reduces the need for manual intervention.
- Empowering business users: We put control in the non-technical user's hands, making cloud management simple for everyone - not just IT professionals.
- Dashboards in Real-Time: Our live dashboards provide full transparency on cloud costs and carbon saving, supporting your sustainability goals.
Turn it Off is cloud-agnostic: Whether you're using AWS Azure or GCP, the integration works seamlessly with all providers. You can also group your applications to reduce overhead.
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Karpenter
Karpenter streamlines Kubernetes infrastructure by ensuring that the optimal nodes are provisioned precisely when needed. As an open-source and high-performance autoscaler for Kubernetes clusters, Karpenter automates the deployment of necessary compute resources to support applications efficiently. It is crafted to maximize the advantages of cloud computing, facilitating rapid and seamless compute provisioning within Kubernetes environments. By promptly adjusting to fluctuations in application demand, scheduling, and resource needs, Karpenter boosts application availability by adeptly allocating new workloads across a diverse range of computing resources. Additionally, it identifies and eliminates underutilized nodes, swaps out expensive nodes for cost-effective options, and consolidates workloads on more efficient resources, ultimately leading to significant reductions in cluster compute expenses. This innovative approach not only enhances resource management but also contributes to overall operational efficiency within cloud environments.
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