What factors influence the duration of metric storage in a system?

The following factors influence the duration of metric storage in the system:

• Available storage capacity: The more disk space available, the longer data can be stored.
• Analytics and reporting requirements: If long-term analytics are needed, metrics are stored longer.
• Frequency of metric collection: High-frequency collection increases data volume faster, which may limit storage duration.
• Data retention policies: Set in monitoring systems to automatically delete old data.
• Type of metrics: Some metrics may be less important and stored for a shorter period.
• Storage costs: In cloud solutions, long-term storage can be expensive.

For example, in Prometheus, metrics are stored for 15 days by default, but this can be configured based on resources and requirements.