[Enhancement] WAL Disk Usage Metrics

[CtrlAltDft]

Who is this for and what problem do they have today?

Target Audience:

• Engineers who manage and maintain AutoMQ clusters, particularly those deployed on AWS infrastructure using EBS volumes for Write-Ahead Log (WAL) storage.

Problem Statement:

• Lack of Visibility into WAL Disk Usage:
  • AutoMQ uses EBS volumes mounted as block devices for WAL storage to optimize performance.
  • Standard disk usage monitoring tools cannot track free disk space on block devices that are not mounted with a traditional file system.
  • Administrators currently have limited metrics available, restricted to IOPS and read/write throughput, which do not provide insights into actual disk space utilization.
• Operational Challenges:
  • Without accurate metrics on WAL disk usage, there is a risk of unexpected disk space exhaustion, which can lead to system crashes or data loss.
  • Capacity Planning Difficulties: Inability to forecast when additional storage is needed hampers proactive resource management.
  • Alerting Limitations: Lack of thresholds and alerts for disk usage prevents timely intervention before critical issues arise.

Why is solving this problem impactful?

• Ensures System Reliability and Stability:
  • Monitoring WAL disk usage helps prevent service interruptions caused by full disks.
  • Enables proactive maintenance, reducing the risk of data loss or corruption.
• Improves Operational Efficiency:
  • Provides administrators with the necessary insights to make informed decisions about scaling storage resources.
  • Facilitates capacity planning, ensuring that resources are allocated efficiently and cost-effectively.
• Enhances Monitoring and Alerting Capabilities:
  • Allows integration with existing monitoring tools to set up alerts and notifications when disk usage reaches critical levels.
  • Empowers teams to respond quickly to potential issues, minimizing downtime.
• Aligns with Best Practices:
  • Adhering to industry standards for system monitoring and observability.
  • Helps maintain high availability and performance of AutoMQ clusters.
• Supports Autoscaling Efforts:
  • Accurate metrics are essential for implementing event-driven autoscaling, ensuring that scaling actions are based on reliable data.
  • Enhances the effectiveness of auto-balancing mechanisms by providing comprehensive system insights.

Additional Notes

• Possible Solutions:
  • Expose WAL Disk Usage Metrics:
    • AutoMQ could provide built-in metrics for WAL disk utilization accessible via standard monitoring interfaces (e.g., JMX, Prometheus exporters).