Microsoft Fabric continues to unify data engineering, analytics, and storage across the OneLake platform, including fully managed SQL Database in Fabric. While the platform is designed to provide rel...

Azure SQL Database Hyperscale is designed to deliver fast, storage‑optimized backup and restore operations. According to Microsoft documentation, most Point‑in‑Time Restore (PITR) operations for Hype...

Accurate statistics are a cornerstone of good query performance in Azure SQL Database. While the platform automatically manages statistics in most scenarios, there are real‑world cases where manual i...

In complex, distributed systems—such as cloud platforms, high‑availability databases, and mission‑critical applications—effective problem solving requires more than intuition or experience. Incidents...

The Kepner‑Tregoe (KT) methodology is especially effective in modern cloud environments like Azure SQL Database, where incidents are often multi‑dimensional, time‑bound, and affected by asynchronous ...

Monitoring and Troubleshooting Using Public DMVs Azure SQL Database provides built‑in high availability and geo‑replication capabilities to ensure database resilience and business continuity. While...

High availability (HA) is a core pillar of Azure SQL Database. Unlike traditional SQL Server deployments—where availability architectures must be designed, implemented, monitored, and maintained manu...

Azure SQL Database Data Sync has long been used to keep data consistent across multiple Azure SQL databases. However, as the service moves toward retirement, many customers are now asking an importan...

Why Azure SQL Data Sync Retirement Matters Azure SQL Data Sync relies on: Triggers Metadata tables Hub-and-spoke topology While functional, this architecture introduces complexity, perf...

As applications grow, their data stores often become bottlenecks—queries slow down, storage limits are reached, and performance degrades under heavy workloads. Traditional vertical scaling (adding CP...