In this episode, Lucas and Luna dive into the shift from traditional network monitoring to observability pipelines—specifically how platforms like Cribl and Splunk are transforming the way network engineers collect, process, and route telemetry data. They discuss the problem of 'data gravity' where monitoring tools generate more data than can be cost-effectively stored, and how smart pipeline architectures let teams filter, enrich, and route only the most valuable signals. The conversation touches on real-world use cases like reducing Splunk license costs by 40 percent through intelligent data reduction, and how open source projects like OpenTelemetry are standardizing the data format. If you manage network logs or metrics, this episode gives you a concrete framework for cutting noise and cutting costs.
#NetworkObservability #ObservabilityPipelines #Cribl #Splunk #OpenTelemetry #DataGravity #TelemetryData #LogManagement #NetworkMonitoring #ITOperations #Technology #NetworkEngineering #DataReduction #StreamProcessing #NetworkTelemetry #FexingoBusiness #BusinessPodcast #TechPodcast
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