
Developed a new OpenMetrics-based collection mode for the DataDog/integrations-core Flink integration, focusing on Kubernetes-native secret management and enhanced metric coverage. Leveraged Python, Docker, and Kubernetes to enable agent-side metric scraping via OpenMetricsBaseCheckV2, replacing the legacy push-based approach. Expanded the metric map to include 87 core metrics, implemented comprehensive end-to-end and docker-compose tests, and updated metadata to support full observability of Flink workloads. Improved CI reliability by aligning Prometheus metric naming, updating lint configurations, and refining test fixtures. Updated documentation and configuration examples to streamline operator onboarding and clarify usage of Kubernetes-native secret management and OpenMetrics collection.
June 2026 monthly summary for DataDog/integrations-core (Flink integration). Delivered a new OpenMetrics-based collection mode with Kubernetes-native secret management, expanded metric coverage, and strengthened CI/test reliability, accompanied by thorough documentation updates. This work improves observability, security, and deployment simplicity for Flink on Kubernetes.
June 2026 monthly summary for DataDog/integrations-core (Flink integration). Delivered a new OpenMetrics-based collection mode with Kubernetes-native secret management, expanded metric coverage, and strengthened CI/test reliability, accompanied by thorough documentation updates. This work improves observability, security, and deployment simplicity for Flink on Kubernetes.

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