Database performance can be greatly impacted by knowing when to enable OPTIMIZE_FOR_SEQUENTIAL_KEY in SQL Server, particularly in high-concurrency scenarios. When adding large amounts of data, this setting increases efficiency by reducing contention on the last added page of a index. Enabling this feature guarantees consistent and seamless database operations in e-commerce scenarios where orders are handled asynchronously. High-traffic applications may encounter performance bottlenecks without adequate optimization, which could result in slower transactions and higher resource use. A responsive and scalable database can be maintained by putting the proper indexing method into practice and using other tuning approaches.

Combining .msg files from Azure Blob Storage with Azure AI Search provides a reliable way to extract and index the content of conversations.

For .msg files, generating Azure AI Search indexes makes email content files easier to maintain and retrieve.