An engineer operates fourteen Data Domain systems across four sites. Every capacity or health question requires per-system logins, and answering 'which systems are near full?' recently took most of a week. Single-system monitoring is already in place on each appliance. What should be added post-deployment to fix this?

Single-system bring-up ends at the appliance's own management interface, and that ceiling is exactly the pain described here: every question that spans systems becomes manual assembly. Multi-system environments need a layer above the individual box - a cloud monitoring service or management center that each system enrolls into, aggregating capacity, health, and alert state so one view can rank fourteen systems by pressure. That rollup is what turns 'which systems are near full' into a single sorted column. Flooding the inbox with more frequent per-system alerts does not aggregate anything; it converts one engineer's week into a week of unread mail, because alert streams without a common view are not a report. Nightly script dumps and a merged spreadsheet rebuild the same slow process with extra fragility - the numbers are stale on arrival, the scripts drift as versions change, and no cross-system rollup ever appears. Consolidating syslog onto one appliance collects event text, not metrics: log volume is not capacity trending, and grepping events will not tell you growth rates or headroom per system. Exam caveat: fleet enrollment has its own prerequisites - support connectivity, firewall paths, and per-system registration - so adding the view is itself a post-deployment project. Operational check: from the fleet view alone, answer which systems exceed eighty percent usable capacity and confirm the answer matches a spot-checked appliance within one refresh cycle.