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This comprehensive guide reveals how to effectively export vital application and infrastructure metrics to your production monitoring systems, ensuring robust observability and proactive issue detection. Learn to integrate time-series data from services instrumented with OpenTelemetry or custom exporters, targeting popular platforms like Prometheus, Datadog, New Relic, Splunk Observability Cloud, and cloud-native solutions such as AWS CloudWatch, Google Cloud Monitoring, and Azure Monitor. We cover best practices for metric collection, including setting up Node Exporter for server health, cAdvisor for container insights, and kube-state-metrics for Kubernetes clusters. Understand the critical steps for configuring agents, pushing custom metrics, and transforming raw data into actionable insights for SLOs (Service Level Objectives) and SRE (Site Reliability Engineering) teams. By mastering metrics export, you enhance system health, optimize application performance monitoring (APM), and streamline incident response workflows across your distributed systems. This video is essential for DevOps engineers, SREs, and developers aiming to build resilient, observable production environments. #ProductionMonitoring #MetricsExport #Observability #DevOps #SRE #Prometheus #Datadog #Grafana #OpenTelemetry #CloudMonitoring #APM #SystemHealth #SiteReliabilityEngineering #DistributedSystems