For teams running BullMQ, Workbench makes the inside of your job system visible, searchable, and fixable from a single browser dashboard. Live counters track completed, failed, active, and waiting jobs per queue alongside p50 and p95 latency and throughput, so a backing-up queue announces itself before your users do. Every run sits in a filterable table where you can expand the full payload and attempt history, retry with a keystroke, or click a line in a failed job's stack trace and land on that exact file in your editor. Failures are grouped by error class and ranked by frequency with a 24-hour trend, which makes a fresh regression obvious the moment it spikes. Parent and child jobs render as a real graph you can drill into and replay subtree by subtree, schedulers can be paused or edited without a redeploy, and new jobs can be enqueued from a form that validates the payload first. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.