Database Resource Capacity Analytics Tool (DRCAT) complements Oracle Enterprise Manager 12c Cloud Control by harvesting OEM data and running analytics on top of it to produce meaningful actionable information to efficiently and effectively manage IT resources to meet Service Level Agreements. DRCAT offers a single pane of glass view of Database Infrastructure deployed across the enterprise even in case of federated OEM deployment. It helps you achieve the goal of doing more with less by keeping you well informed of your complete database compute resource capacity. DRCAT makes it possible for enterprises to get the best returns on their database IT investments.
DRCAT groups and presents Oracle Database Infrastructure data based on target properties like Data Center Location, Line of Business, LifeCycle Status, Operating System, Cost Center and others. Viewing data from these different perspective gives a better understanding of deployed and available capacities that promote better decision making.
Agile application development effort demands for quick provisioning of databases based on application requirements. Searching for compute resources in right data center location, shared or dedicated server resource with adequate storage can get challenging and time consuming. DRCAT can help quickly identify database server resources to provision databases thereby speeding up agile development by 10-15%.
Identifying database servers that breach configurable resource thresholds for x number of times (both values are configurable) during Critical Business Operating Window (CBOW) allows you to take corrective action to mitigate risk of missing business SLAs. DRCAT allows you to start discussions to initiate investigation into excessive resource consumption and follow-thru on corrective action.
Given the ever increasing size of IT infrastructure, capacity planning task can soon become time consuming and cost prohibitive. DRCAT helps quickly analyze and forecast resource and storage requirements for servers that could potentially be at risk. Capacity augmentation can be planned for CPU, Memory and Storage and can be tracked in DRCAT. Planned resource consumers like projected NEW Databases can also be planned in advance. Impact of planned resource add and new consumers can be seen in forecasting model, thereby giving a holistic picture of projected growth.
Over ordering storage leads to wastage and cost overruns. Ordering less storage poses potential risk to business availability or last minute rush orders. DRCAT storage forecast model is robust and project future growth based on past growth pattern. It can also be readjusted based on variable growth projections for certain application databases. Custom growth projections can be feed to override past growth numbers for forecasting. Having ability to accurately forecast storage needs prevents cost overruns and mitigate risk of running out of storage.