JAMS support has been among the most helpful and knowledgeable we've ever worked with. They're always eager to assist and quickly find solutions. While a few minor issues required escalation, we've been able to resolve them all within the current version of JAMS. After initial misuse, we have optimized the use of several agents deployed in our environment. This improvement was made possible through collaboration with internal stakeholders and guidance on JAMS best practices. While agents might appear to directly solve user problems due to their ability to perform custom tasks on machines, in our cases, they operate behind the scenes, unseen by users. JAMS handles exceptions well, especially when calling PowerShell scripts, successfully bubbling up errors. It centralized our job and orchestration management functionalities into a single control plane, providing visibility into previously siloed work. This consolidation streamlined operations and enhanced oversight through a unified dashboard. Additionally, JAMS empowered us to build advanced processes by effectively managing retries, workflows, and sequences. Without JAMS, replicating this functionality would have been manual and inefficient, lacking the comprehensive visibility and control JAMS provides. Data Slack refers to delays in data pipelines caused by disparate and siloed processes. Using JAMS, while powerful for scheduling and orchestration, can exacerbate this issue if teams break down processes into isolated tasks within different tools. This fragmentation leads to data sitting in queues and folders, awaiting processing. To improve efficiency and timeliness, it's recommended to consolidate these fragmented processes entirely under JAMS. This allows JAMS to execute the entire workflow from start to finish within a single execution, eliminating data slack and ensuring timely data delivery. JAMS has helped save IT staff time by automating tasks previously performed with scripts, and its scheduling feature has been particularly useful.
