Joe works as a backup administrator for XYZ company. XYZ has been using Druva for about 1 year. It intends to expand the data footprint for Druva by protecting additional resource types and purchasing additional credits. Hence, Joe has been requested for an analysis of the trend of storage consumption and data growth for the infrastructure.
Joe looks at the Analytics page and he immediately gets insights into his organization’s credit consumption details.
On the Credits and Storage Consumption graph, he compares his Actual Credit Balance (solid line) against the Baseline Credit Balance (dashed line). This allows him to instantly visualize if his organization's consumption is tracking according to plan or if they are deviating from the agreed-upon baseline, helping him identify potential shortfalls much earlier.
To ensure his organization is maximizing cost efficiency, Joe checks the LTR Savings and Archive Savings metrics in the summary area. He uses this data to validate that their long-term data retention policies are successfully reducing credit consumption as expected over the last 90 days.
The page provides an overall summary with respect to the amount of data they have been protecting with Druva. Joe aims to understand the data growth for the resource types being currently protected, which will help his organization understand the number of credits they would require in addition to the new resource types that they plan to protect.
He wants to know about the servers that are contributing the most to the storage consumption. Hence, he goes to the All Backup Sets section and views the backup sets appearing in descending order of storage consumption. Here, he can also view the average change rate for each backup set, thereby getting an overall understanding of the data growth.
He views the Current Source Data graph and looks at the events that have taken place during the last 30 days. This graph helps him ascertain the contribution of each resource type to storage consumption. He clicks an event marker on the timeline to know the changes that were made on a particular day. The event details appear and he can see the backup sets that were added, deleted, or modified. The list of new backup sets helps Joe ascertain any recently added backup sets that are consuming more than estimated storage. He takes note of these backup sets
Using these statistics available with Analytics, Joe and his organization assess their infrastructure deployment and gets a clear visibility into their Druva credits. They can compare planned credit usage with actual consumption through intuitive visuals, before making any renewal decisions.