When Are Indexes a Problem?
In the database performance manual, the first rule is almost a dogma: “Is the query slow? Create an index.” And most of the time, it
In the database performance manual, the first rule is almost a dogma: “Is the query slow? Create an index.” And most of the time, it
In the world of databases, there is a fundamental difference between a query that works and a query that is good. A query that “works” simply returns the
The performance team gathers to analyze database bottlenecks. The “Top Queries” dashboard is displayed, sorted by average duration (avg_duration). At the top of the list,
PostgreSQL’s Shared Buffers and OS Page Cache: What They Are and How to Configure Them? Your PostgreSQL server has a generous amount of RAM, but
Your Oracle server operates with a substantial amount of RAM, but the application’s performance is inconsistently slow. You observe in the AWR (Automatic Workload Repository)
Your Db2 environment runs on powerful hardware, designed to process millions of transactions with stability. However, the application’s performance does not reflect this power. Queries
It’s one of the most frustrating paradoxes in database management: your SQL Server has a massive amount of RAM—128GB, 256GB, or more—but performance continues to
Your application is slow, but your dashboards are lying to you. CPU utilization is at 40%. RAM is stable. Disk I/O seems quiet. No infrastructure
The application is unstable. Transactions are failing with timeout errors, latency for the end-user is unpredictable, and the SRE team is receiving intermittent alerts. However,
Your MySQL server has 128GB of RAM, but the application is slow. The disk I/O monitor shows constant and intense read activity, even for queries
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