
Jan Garaj developed an AWS/EKS CloudWatch monitoring metrics enhancement for the grafana/grafana-aws-sdk repository, focusing on expanding observability for Kubernetes clusters. He integrated new CloudWatch metrics for the API server and scheduler, introducing a ClusterName dimension to enable cluster-scoped monitoring. Using Go, AWS, and Kubernetes, Jan’s work improved the ability of operators to diagnose issues and monitor performance at the cluster level. The technical approach involved updating CloudWatch constants and instrumentation patterns to support richer metric collection. This feature addressed the need for more granular EKS monitoring, resulting in better operational visibility and streamlined troubleshooting for cloud-native environments.

In May 2025, delivered a feature enhancement for grafana/grafana-aws-sdk: AWS/EKS CloudWatch Monitoring Metrics Enhancement. No major bugs fixed this month. Impact: extended observability for AWS/EKS, enabling operators to monitor API server and scheduler metrics with a ClusterName dimension, improving troubleshooting and performance visibility. Technologies/skills demonstrated include CloudWatch metrics integration, AWS/EKS monitoring patterns, and observability instrumentation, with contribution tracked under issue #242 and commit 5ceeaf66cc4f05e059c13f83170fab9f0e237c78.
In May 2025, delivered a feature enhancement for grafana/grafana-aws-sdk: AWS/EKS CloudWatch Monitoring Metrics Enhancement. No major bugs fixed this month. Impact: extended observability for AWS/EKS, enabling operators to monitor API server and scheduler metrics with a ClusterName dimension, improving troubleshooting and performance visibility. Technologies/skills demonstrated include CloudWatch metrics integration, AWS/EKS monitoring patterns, and observability instrumentation, with contribution tracked under issue #242 and commit 5ceeaf66cc4f05e059c13f83170fab9f0e237c78.
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