Content by Mohamed_Baioumy_MSFT (5)

Mohamed_Baioumy_MSFT explains how to investigate Azure SQL Database scaling operations alongside CDC delays and transaction-log growth without confusing correlation with causation. The guide uses diagnostic queries, repeated measurements, and operation timelines to identify workload pressure, evaluate safe mitigations, and prepare evidence for escalation.

Mohamed_Baioumy_MSFT explains how to investigate growing Change Tracking metadata in Azure SQL Database without modifying internal tables. The playbook covers configuration checks, version and storage trends, synchronization consumer validation, workload correlation, and evidence-based escalation, helping distinguish normal retention behavior from cleanup that is falling behind.

Mohamed_Baioumy_MSFT explains why brief Azure SQL disconnects can cause prolonged application outages. The guide separates database connectivity from application recovery, shows how to correlate SQL evidence with client telemetry, and covers bounded .NET retries, transaction safety, idempotency, and techniques for avoiding synchronized retry storms.

Mohamed_Baioumy_MSFT explains how to diagnose slow Synapse and Data Factory calls to Azure SQL Database by connecting pipeline invocations with database requests. The guide uses wait statistics, memory grants, live execution plans, and Query Store history to distinguish expensive execution from resource waits and test potential causes safely.

Mohamed_Baioumy_MSFT explains how to distinguish expensive execution, excessive compilation, and waiting workers in Azure SQL Database before adding vCores. The guide combines Query Store, live diagnostic views, and resource timelines to identify bottlenecks, test targeted fixes, and validate whether the workload genuinely needs additional compute.