Empirically matching application workload requirements to Azure services requires deep analysis. Densify machine learns workload demand patterns and precisely determines the optimal VMs needed to host them. By aligning application supply and with actual resource demand in this way, Densify optimizes Azure consumption.
Densify provides constant detailed recommendations to target an incredible array of potential performance and cost optimization actions:
The successful implementation of infrastructure optimization changes will always require collaboration with application owners. App owners can be resistant to allowing change but this can be overcome with accurate analytics, transparency and trust. For every recommendation the Densify engine produces, a complete impact analysis and recommendation report is automatically produced. This can be delivered to app owners and approvers through a variety of mechanisms including ticketing systems, collaboration environments such as Slack, email, or reports.
Densify cloud cost intelligence automatically collects Azure billing data to bring deep visibility into current and historical spending patterns, Department and region level views with custom tagging extensibility. Easily export for sharing or further analysis via spreadsheet.
Densify will constantly be on the lookout for anomalous patterns of spending with drill down for investigation.