Explain how you would monitor and troubleshoot a big data platform to ensure its availability and performance.

Monitoring and troubleshooting a big data platform effectively requires a multi-faceted approach that encompasses real-time monitoring, proactive alerting, robust logging, and systematic troubleshooting procedures. The goal is to ensure the platform's availability, performance, and stability while quickly addressing issues that arise. Here’s a detailed breakdown:

1. Implement Comprehensive Monitoring:

- Define Key Performance Indicators (KPIs): Identify the critical metrics that reflect the overall health and performance of the platform. These KPIs should be aligned with business objectives and technical requirements. Examples include:
- Resource Utilization: CPU usage, memory usage, disk I/O, network I/O for individual nodes and the cluster as a whole.
- Cluster Health: Number of active/de