In a previous blog post, I surfaced Azure monitor capabilities for extending observability of Azure SQL databases. We managed to correlate different metrics and SQL logs to identify new execution patterns against our Azure SQL DB, and we finally go through a new compute tier model that fits better with our new context. In this blog post, I would like to share some new experiences about combining Azure cost analysis and Azure log analytics to spot “abnormal” trend and to fix it.

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