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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RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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WorkWitness
WorkWitness is an innovative employee monitoring solution designed for founders and managers overseeing teams, utilizing AI technology to enhance productivity insights. A simple Windows application tracks user engagement with applications, time spent focused on tasks, and the frequency of context changes during the workday. Each morning at 7 am, Claude AI generates a concise paragraph for each team member, summarizing their productivity levels, which is sent directly to the manager via WhatsApp and email, eliminating the need for any dashboard access. The tool is adept at identifying four key indicators: prolonged periods of focus, frequent shifts in context, employees who may be struggling quietly, and those who are working exceptionally hard. While optional screenshots can be taken, they are disabled by default, and the system does not capture any keystrokes, file content, or webcam footage at any time. Offering a free tier for teams of up to three members, WorkWitness also provides affordable paid plans starting at just $1 per user per month worldwide and ₹65 in India, making it accessible for various team sizes. This combination of features ensures that managers receive valuable insights while maintaining employee privacy.
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Helpy
Helpy is the customer service platform designed for companies that care about customer data security. Protect your data but don't compromise on providing customer support!
Helpy Pro is designed for private and on-premise deployments. It lets you avoid vendor lock in, own your data, and integrate with tools you already use to keep your data private and secure. Helpy has been downloaded over 500,000 times. Both the pro and open source versions are in use all around the globe.
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