It’s widely recognized that monitoring is a critical aspect of operating a service, but the practice of observability is still relatively nascent in most organizations. While monitoring can indicate a problem, it’s only by making systems observable that teams can understand the behavior of complex systems, isolate causes, and effectively remediate incidents. The resulting insights provide value that extends far beyond the ability to successfully operate systems. Deeper knowledge of system behavior can inform and focus future development efforts, or quantify the value and effect of more recent work.
Rajesh Raman dives deep into the practice of observability, demonstrating how a more analytics-driven approach to metrics, traces, and other monitoring signals improves observability. You’ll learn a framework for kick-starting a culture of observability in your organization, informed by Rajesh’s experience building and deploying observability tools at SignalFx.
This session is sponsored by SignalFx.
Rajesh Raman is a software engineer at SingalFx, where he works on the SignalFlow streaming analytics engine, developing novel ways to handle real-time, distributed computation of streaming time series data. Rajesh has over 15 years’ experience working in large-scale distributed systems capacity management and service monitoring at companies such as Facebook and Google. He holds a PhD in computer science from the University of Wisconsin, where his focus (and thesis) centered on distributed resource management for high throughput computing.
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