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Learn to transform chaotic observability stacks into structured, actionable monitoring systems through Martha Lambert's "Observability Lasagna" framework in this 48-minute InfoQ conference talk. Discover how to move beyond disconnected dashboard "soup" by implementing a four-layer approach consisting of Overview, System, Logs, and Traces that prioritizes connecting layers for optimized debugging experiences. Master the "Predict, Prove, Measure" flow for launching critical infrastructure under tight deadlines, and explore practical techniques for running system strain drills on whiteboards before implementation. Understand why most dashboards fail and how to treat observability tools as products requiring thoughtful design and user experience considerations. Dive deep into connecting metrics to traces, visualizing system capacity limits on charts, and using event logs and exemplars to shift from general metrics monitoring to user-impact focused incident triaging. Gain insights into team adoption strategies, game day exercises for testing observability systems, and best practices for testing in staging versus production environments, making this essential viewing for engineering leaders focused on improving system reliability and debugging efficiency.
Syllabus
– Introduction: What is Dashboard Soup?
– The Challenge: Launching Critical Infrastructure in 2 Months
– The "Predict, Prove, Measure" Flow
– Running Drills: Testing System Strain on the Whiteboard
– Why Most Dashboards Fail and How to Treat Them as a Product
– Deep Dive: The 4 Layers of Observability Lasagna
– Connecting the Layers: From Metrics to Traces
– Visualizing Capacity: Adding Limits to Your Charts
– Team Adoption and Game Days
– Q&A: Testing in Staging vs. Production
Taught by
InfoQ