An enterprise’s IT department is transitioning to ITaaS. The IT department is developing a service
management methodology. They are uncertain about how much of the measurement data should
be stored, and for how long. One consideration is the trade-off between storage cost and data
granularity.
What would you, the cloud architect, recommend as a best practice?

A.
Keep only peaks and averages for a longer period of time. This minimizes query time,
protection, and recovery issues.

B.
Keep more granular data than just peaks and averages. This allows a higher level of monitoring
at reasonable cost, given deduplication and compression.

C.
Store as much monitoring data as possible given cost constraints. This enables future
diagnosis and offers visibility into SLA compliance.

D.
Keep all raw data, given that storage costs are relatively low.