Metrics collection in HLD - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is metrics collection in databases?

Metrics collection is the process of gathering data about database performance and usage to help understand how well the system is working.

beginner

Name two common types of metrics collected from databases.

Two common types are performance metrics (like query speed) and usage metrics (like number of connections).

beginner

Why is collecting metrics important for database management?

Collecting metrics helps detect problems early, optimize performance, and plan for future growth by understanding how the database is used.

beginner

What is a real-life example of metrics collection?

Like a car dashboard shows speed and fuel level, metrics collection shows database health and activity to keep it running smoothly.

intermediate

Which tool can be used to collect metrics from a database?

Tools like Prometheus or Grafana can collect and display database metrics in easy-to-understand charts.

What does metrics collection in databases help with?

A Understanding database performance

B Deleting old data

C Changing database schema

D Backing up data

Metrics collection helps understand how well the database performs and is used.

Which of these is NOT a typical metric collected from a database?

A Number of active users

B Database color scheme

C Query response time

D Disk usage

Database color scheme is not a metric related to performance or usage.

Why should you monitor database metrics regularly?

A To detect problems early

B To increase data size

C To delete users

D To change passwords

Regular monitoring helps find and fix issues before they become serious.

Which tool is commonly used to visualize database metrics?

A Excel

B Photoshop

C Word

D Grafana

Grafana is designed to display metrics in charts and dashboards.

What is an example of a performance metric?

A Database name

B Number of tables

C Query execution time

D User email

Query execution time measures how fast a query runs, a key performance metric.

Explain what metrics collection is and why it matters for databases.

Think about how knowing database health helps keep it running well.

List some common types of metrics collected from databases and give a simple example for each.

Consider things like speed and number of users.