Monitor Databases
For many organizations, the practice to monitor databases is reactive. It’s an insurance policy triggered only after the fire has already started: the application is slow, users
For many organizations, the practice to monitor databases is reactive. It’s an insurance policy triggered only after the fire has already started: the application is slow, users
The alert fires at 2 a.m.: “The application is slow.” The team is paged, and the virtual war room is opened. The developer looks at
“But this query was fast last week.” It’s one of the most common and frustrating phrases heard in a performance war room. A process that
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
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