How are metrics processed after they are obtained and stored?

After receiving and storing metrics, the following processing steps are usually performed:

1. Validation and cleaning of data — checking correctness, removing anomalies and errors.
2. Aggregation — combining data over time, categories, or other parameters for easier analysis.
3. Analysis — calculating statistics, identifying trends, anomalies, or correlations.
4. Visualization — creating charts, dashboards for visual representation of information.
5. Storage in a database or monitoring system — for long-term access and reporting.
6. Automated actions — for example, trigger notifications when thresholds are exceeded.

Example: in DevOps, after collecting metrics from servers (CPU load, memory usage), data is aggregated per minute, analyzed for overloads, visualized in Grafana, and notifications are sent to Slack if necessary.