Brent Eubanks, VP Technology Optimization at Ticketmaster explains how his organization takes suggestions from Densify, routes them to workload owners, and creates a feedback loop and workflow to help Densify and Ticketmaster achieve increasingly effective results together and fine tune findings over time for accuracy.
Brent outlines and describes a four-step process:
- Data and recommendations for cloud optimizations from Densify are blended and enriched
- The enriched recommendations are presented to stakeholders: Engineers can access the data directly through Jira, recommendations are queued in Jira based on severity and confidence, and a management view shows potential cost efficiencies for each engineering group’s workloads
- Engineering takes action—reporting whether the recommendation was assessed and ignored, became work-in-progress, or was completed
- Finally, an audit and review of engineering actions is performed, and the findings are passed back to Densify to better inform ongoing cloud optimization