
JAMS is an automation orchestration and job scheduling solution that runs, monitors, and manages critical IT processes from a single console, from simple batch jobs to complex, cross-platform workflows. JAMS automates jobs across Windows, Linux, UNIX, IBM i, z/OS, and OpenVMS, with native integrations for the databases, BI tools, and ERP systems already running your business, including SQL Server and SAP. Jobs run on any schedule or trigger off other events, and dependency management keeps multi-step workflows in the right order.
Every job is centrally monitored, with notifications on success or failure and an audit trail of every execution. Built-in conversion tools migrate existing jobs from Windows Task Scheduler, SQL Agent, or Cron without rebuilding them, and JAMS replaces homegrown, single-platform scripts with one centrally managed system.
JAMS includes two AI capabilities at no additional cost. JAX is an AI agent built into the JAMS Web Client. Ask it a question in plain language, and it finds a job, troubleshoots a failure, or looks up how to do something, grounded in JAMS documentation, not general AI guesswork. It acts only when asked, and every change waits for your approval. JAMS MCP brings JAMS into the AI coding tools teams already use, including Cursor, Claude Code, GitHub Copilot, and Claude Desktop.
Both run inside the customer's network with the signed-in user's permissions and no elevated AI account, and every action, AI-driven or not, lands in the same audit trail as everything else in JAMS.
For teams managing thousands of jobs across SQL Server, ADF, Airflow, SAP, JDE, and Banner, this cuts tribal knowledge and middle-of-the-night troubleshooting. Knowledge that once lived in one person's head becomes something any team member can ask about directly.
JAMS' mission is to reduce the operational burden of critical automation, so teams spend more time on the work automation was meant to free them for.
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JDisc Discovery serves as a robust solution for IT asset management and network discovery, offering organizations valuable, real-time visibility into their complete IT landscape. By conducting automated network scans, it efficiently detects and organizes a variety of devices, which ranges from physical servers and workstations to virtual machines and network appliances, thus providing users with a comprehensive asset inventory. The tool meticulously gathers crucial information, encompassing hardware specifications, installed software, system configurations, and the interrelationships among devices, ensuring thorough documentation of the IT environment.
One of the standout features of JDisc Discovery is its agentless design. Instead of requiring software installation on each device, it utilizes multiple protocols such as SNMP, SSH, and WMI to collect data, facilitating rapid deployment and ensuring compatibility across an array of operating systems, including Windows, Linux, and Unix. This adaptability makes it particularly well-suited for varied and evolving IT infrastructures, allowing for effective and unobtrusive data acquisition. Additionally, its user-friendly interface enhances the overall management experience, empowering IT teams to make informed decisions based on accurate and up-to-date information.
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Sniffnet
Sniffnet is a network monitoring tool designed to help users easily manage and track their Internet traffic. It goes beyond just collecting data by exploring detailed network activities, providing comprehensive monitoring features. The application is designed with user-friendliness in mind, making it more approachable compared to conventional network analysers. Offered as a free and open-source platform, Sniffnet is available under both MIT and Apache-2.0 licenses, with its complete source code accessible on GitHub. Built using the Rust programming language, it ensures high efficiency and reliability, focusing on both performance and security. Some of its notable features include the selection of a network adapter for in-depth analysis, the ability to apply filters to the monitored traffic, real-time statistics, and live charts reflecting Internet usage. Users can also export detailed capture reports in PCAP format and recognize over 6,000 upper-layer services, protocols, trojans, and worms. Furthermore, it enables users to discover domain names and ASNs of connected hosts and trace connections within their local network, making it a robust solution for effective network management. Ultimately, Sniffnet serves as an indispensable asset for anyone needing thorough oversight of their network activities.
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NetworkMiner
NetworkMiner is a free tool utilized for network forensics that retrieves various artifacts such as files, images, emails, and passwords from network traffic saved in PCAP files. In addition, it possesses the capability to capture live network traffic by monitoring the network interface. The traffic that is analyzed provides comprehensive details about each IP address, aiding in the identification of passive assets and enhancing the understanding of interacting devices. Although primarily designed for Windows, it is also compatible with Linux systems. Since its introduction in 2007, it has gained popularity among incident response teams, law enforcement entities, and businesses globally, becoming a go-to resource for many professionals in the field. Its versatility and effectiveness continue to make it a valuable asset in various network analysis scenarios.
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