The monitoring server discovered the appliance the day it was added and shows a green status, but every chart stays empty - the manager is polling a generic device template for this host. What is missing from the integration?
Select an answer to reveal the explanation.
Short Explanation
Your monitoring system knows the appliance exists but not what it is - it's asking generic device questions and getting silence back. Load the platform's MIBs into the manager so it polls the appliance's real OIDs, and the charts light up. Green status just means reachable; the MIBs are what make it measurable.
Full Explanation
Discovery and monitoring are different accomplishments. A manager that added the appliance under a generic template can reach it - hence the green status - but it asks questions this platform never answers, because the metrics that matter (filesystem and capacity detail, disk and enclosure health, temperature, replication state) live in the vendor's MIB object tree. Loading the DD OS MIB definitions into the monitoring platform teaches it the appliance's actual OIDs, after which polls return meaningful health and capacity data. Monitoring remains read-only in this half of the design: the manager reads the agent. Granting SNMP write access to 'load metrics' fails on direction - pollers pull values and nothing about charting requires writing to the agent, while write access hands a monitoring account a configuration-attack surface. A faster polling interval multiplies requests against the same wrong OIDs: empty stays empty, only more often, at the cost of appliance and network overhead. Using email alerting as a charting source confuses transports - alerts announce events and carry no time-series history, so a manager waiting on alert traffic for charts has misunderstood both systems. Exam caveat: MIB and OID coverage varies by platform version, so verify each metric the operations standard demands is actually exposed. Operational check: after loading the vendor MIBs, chart one capacity metric and one hardware health metric from live polled data within the next poll cycle.