How FINRA established real-time operational observability for Amazon EMR big data workloads on Amazon EC2 with Prometheus and Grafana
Big Data Blog
This article discusses how FINRA established real-time operational observability for their Amazon EMR big data workloads on Amazon EC2 using Prometheus and Grafana.
Specifically, the article covers:
- The challenges FINRA faced in monitoring their complex and dynamic EMR clusters, such as scale, data variety, resource utilization, latency metrics, centralized dashboards, alerting, and cost management.
- The solution architecture using Amazon Managed Prometheus for metric collection, Amazon Managed Grafana for visualization dashboards, and Amazon CloudWatch for alerting.
- Details on the customized Grafana dashboards displaying node, cluster, and job-level metrics like OS, HDFS, YARN, Spark, and JVM.
- The conclusion highlighting how this solution enabled comprehensive observability, performance optimization, and operational excellence for FINRA's big data workloads.
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