1. Proposed title of this feature request
--> Allow to change the scrape time to allow change it from 30s (or 1m) to 15s at the time specified by users in a configmap.

2. What is the nature and description of the request?
--> All platform is scrape every 15s and OCP components is scrape every 30s (or 1 minute in single node) and their is need to change it.
The main purpose is to change the default time to 15s or, better idea, allow to user change it.

The implementation of an option that allows users to adjust the metrics scraping interval in OpenShift clusters is requested. This option should offer the flexibility to configure the interval to 15 seconds to match the metrics update frequency on other platforms.

Justification:

Having a configurable metrics scraping interval would offer the following advantages:

    Improved data synchronization: It allows aligning the update frequency of OpenShift metrics with that of other platforms, facilitating data comparison and analysis.
    Higher granularity of information: It provides more up-to-date and accurate metrics, enabling better decision-making and faster response to potential issues.
    Flexibility for different needs: It allows users to adapt the scraping interval to their specific needs, based on data volume, system load, and analysis requirements.

3. Why it is needed? (List the business requirements here)
--> Implementing the option to adjust the metrics scraping interval would provide the following benefits:
    Improved visibility and control over OpenShift cluster performance.
    Simplified data analysis and comparison between different platforms.
    Greater ability to identify and resolve issues in a timely manner.

Impact:

This RFE should not have a significant impact on the stability or performance of OpenShift clusters. Implementing the option to adjust the metrics scraping interval should be relatively straightforward and not require major changes to the system architecture.

Use Cases:

The ability to adjust the metrics scraping interval would be particularly useful in the following cases:

    High-demand production environments: Where it is necessary to have real-time updated metrics to make critical decisions and optimize system performance.
    Data monitoring and analysis operations: Where precise synchronization of OpenShift metrics with those of other platforms is required to perform comparative analysis and detect trends.
    DevOps and CI/CD implementations: Where rapid metrics updates are essential to evaluate the impact of code and configuration changes

4. List any affected packages or components.
--> Monitoring