What data would you cache in Redis for the KPI calculation module and why?

For the module of calculation indicators (KPI and others), it is recommended to cache in Redis:

• Final aggregated KPI values that are frequently requested and rarely change in a short period. This reduces database load and speeds up response time.
• Intermediate calculations if they are resource-intensive and reused.
• Configuration data and calculation parameters to quickly change logic without restarting the service.
• Results of complex queries, such as pivot tables or reports.

Why Redis:

• High read/write speed.
• Support for TTL for automatic cache refresh.
• Ability to use data structures (hashes, lists) for convenient storage.

Thus, caching in Redis helps reduce response time and decrease load on primary data stores when working with KPIs.