JCLCheck Workload Automation

QuantaStor is a unified Software-Defined Storage platform designed to scale up and out to make storage management easy while reducing overall enterprise storage costs. With support for all major file, block, and object protocols including iSCSI/FC, NFS/SMB, and S3, QuantaStor storage grids may be configured to address the needs of complex workflows which span sites and datacenters. QuantaStor’s storage grid technology is a built-in federated management system which enables QuantaStor servers to be combined together to simplify management and automation via CLI and REST APIs. The layered architecture of QuantaStor provides solution engineers with unprecedented flexibility and application design options that maximizes workload performance and fault-tolerance for a wide range of storage workloads. QuantaStor includes end-to-end security coverage enabling multi-layer data protection “on the wire” and “at rest” for enterprise and cloud storage deployments.

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. The AI lives in the product, not in the support queue. Support is staffed by humans JAMS will never outsource, based in the United States, the United Kingdom, and Australia. New tickets go to long-tenured engineers, and every JAMS customer has the CEO's cell phone number. 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.