What is KPI in SQL Server?

In Microsoft SQL Server Analysis Services, a KPI is a collection of calculations, which are associated with a measure group in a cube, that are used to evaluate business success. Typically, these calculations are a combination of Multidimensional Expressions (MDX) expressions and calculated members.

How do you collect key performance indicators?

Steps in Developing Actionable KPIs

1. Step 1: Establish goals.
2. Step 2: Establish Critical Success Factors.
3. Step 3: Establish KPIs from the CSFs.
4. Step 4: Collect Measures for all Aspects of Operations.
5. Step 5: Calculate Metrics from Measures.
6. Fundamental goals that you want the company/employees to achieve.

What are the key metrics you are monitoring to ensure your database availability?

The metrics should include:

• Percent CPU time used by the database process.
• Available memory.
• Available disk space.
• Disk queue for waiting IO.
• Percent virtual memory use.
• Network bandwidth for inbound and outbound traffic.

How is SQL Server performance measured?

To check SQL Server memory setting,

1. Start SQL Server Management Studio.
2. Right-click on your database instance and select “Properties”.
3. Click on “Memory” table in the “Server Properties” pop-up window.
4. Check the memory settings.

How often should KPIs be reviewed?

If a company sets a monthly goal (e.g., a monthly sales goal), it is recommended to monitor a KPI on a weekly basis. However, measuring KPIs too frequently may result in an inappropriate allocation of resources.

What are the performance metrics of database?

Key Database Performance Metrics You Must Track Regularly

• Database Throughput. Database throughput is one of the most important database performance metrics.
• Database Response or Latency. Database Response is one of the most common database performance metrics.
• Database Connections.
• Number of errors.
• Most Frequent Queries.

How do you evaluate database performance?

Five Best Practices for Proactive Database Performance Monitoring

1. Monitor Availability and Resource Consumption. This first step of proactive monitoring is to check whether all databases are online at regular intervals.
2. Measure and Compare Throughput.
3. Monitor Expensive Queries.
4. Track Database Changes.
5. Monitor Logs.