Chapter 9. Setting Up Monitoring and Dashboards
In this chapter, we will explore Dataproc’s built-in metrics, which offer crucial information about cluster status, resource consumption, and job performance. We will share techniques for using Metrics Explorer to create custom visualizations and dashboards that enable you to analyze and interpret these metrics effectively. We will also cover the predefined metrics charts available within Dataproc, providing a quick but comprehensive overview of cluster performance.
We will outline the process of setting up alerts based on key metrics thresholds to ensure proactive problem solving, which will help you detect and address issues before they affect operations. For those who are working across multiple projects, this chapter includes steps for migrating dashboards from one project to another, facilitating efficient collaboration and resource sharing.
We will also discuss creating custom log-based metrics, which enables you to develop specific metrics tailored to your unique workloads and monitoring needs. This approach offers deeper insights into system behavior and logs, providing greater control over performance optimization and troubleshooting.
By the end of this chapter, you will have developed a thorough understanding of Dataproc’s monitoring capabilities and will know how to optimize performance, maintain cluster health, and address operational challenges with confidence.
Monitoring Cluster Status
Problem
You want to monitor ...
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