
In January 2026, Sam Foulkes enhanced monitoring capabilities for the percona/percona-server-mongodb-operator by implementing a PMM3 monitoring feature that enables node_exporter metrics collection. Using Go, Kubernetes, and YAML, Sam mounted the database persistent volume claim within the PMM3 container and configured the necessary volume mounts, closing monitoring gaps present in PMM3 compared to PMM2. This technical approach improved observability and operational reliability by allowing deeper metric collection from the database storage layer. The work supported proactive issue detection and capacity planning, demonstrating a strong understanding of database management and cloud-native monitoring within a production Kubernetes environment.
January 2026 monthly summary for the developer work on the percona/percona-server-mongodb-operator. Delivered a PMM3 Monitoring enhancement to enable node_exporter metrics collection by mounting the database PVC in the PMM3 container and adding the necessary volume mounts. This closes PMM3 monitoring gaps and aligns with PMM2 patterns, improving observability and reliability across MongoDB deployments.
January 2026 monthly summary for the developer work on the percona/percona-server-mongodb-operator. Delivered a PMM3 Monitoring enhancement to enable node_exporter metrics collection by mounting the database PVC in the PMM3 container and adding the necessary volume mounts. This closes PMM3 monitoring gaps and aligns with PMM2 patterns, improving observability and reliability across MongoDB deployments.

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