-The Wingtip Tickets SaaS Database Per Tenant app uses a single-tenant data model, where each venue (tenant) has their own database. Like many SaaS applications, the anticipated tenant workload pattern is unpredictable and sporadic. In other words, ticket sales may occur at any time. To take advantage of this typical database usage pattern, tenant databases are deployed into elastic pools. Elastic pools optimize the cost of a solution by sharing resources across many databases. With this type of pattern, it's important to monitor database and pool resource usage to ensure that loads are reasonably balanced across pools. You also need to ensure that individual databases have adequate resources, and that pools are not hitting their [eDTU](purchasing-models.md#dtu-based-purchasing-model) limits. This tutorial explores ways to monitor and manage databases and pools, and how to take corrective action in response to variations in workload.
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