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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CT Pool
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Conda
Conda serves as an open-source solution for managing packages, dependencies, and environments across various programming languages, including Python, R, Ruby, Lua, Scala, Java, JavaScript, C/C++, Fortran, and others. This versatile system operates seamlessly on multiple platforms such as Windows, macOS, Linux, and z/OS. With the ability to swiftly install, execute, and upgrade packages alongside their dependencies, Conda enhances productivity. It simplifies the process of creating, saving, loading, and switching between different environments on your device. Originally designed for Python applications, Conda's capabilities extend to packaging and distributing software for any programming language. Acting as an efficient package manager, it aids users in locating and installing the packages they require. If you find yourself needing a package that depends on an alternate Python version, there’s no need to switch to a different environment manager; Conda fulfills that role as well. You can effortlessly establish an entirely separate environment to accommodate that specific version of Python, while still utilizing your standard version in your default environment. This flexibility makes Conda an invaluable tool for developers working with diverse software requirements.
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WPKG
WPKG serves as an automated solution for deploying, upgrading, and removing software on Windows systems. This tool enables the transfer of software packages, including Service Packs, hotfixes, and application installations, from a centralized server like Samba or Active Directory to multiple workstations efficiently. Operating as a background service, it facilitates silent installations without requiring user intervention. The program supports a variety of installation formats such as MSI, InstallShield, and Inno Setup, along with .exe, .bat, and .cmd scripts, eliminating the need for repackaging. As an open-source application, WPKG adds significant functionality to your Samba or Active Directory environment by streamlining software management tasks like installation, updates, and removal. Additionally, it allows for the execution of custom scripts, enabling tasks such as time synchronization, printer settings configuration, permission adjustments, and registry modifications on your workstations, thus enhancing overall system management capabilities. Ultimately, WPKG proves to be a versatile tool that can simplify IT management processes and improve operational efficiency.
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