Which scale is used in Datadog for measuring system metrics?

In Datadog, system metrics are measured using standard units of measurement. This approach ensures consistency and clarity when interpreting varying types of data. Standard units, such as CPU utilization measured in percentages or memory usage measured in bytes, provide a universal framework that enables users to compare performance and health across different systems and services accurately. Using standard units allows teams to set benchmarks and thresholds effectively, making it easier to understand system performance and detect anomalies or issues.

When managing system metrics, relying on established units of measurement assists in clear communication among team members and tools, promoting a shared understanding of metrics across the organization. This is essential for effective monitoring, troubleshooting, and performance tuning in the context of system and application performance.