<p><em>Exploring how to manage observability tool sprawl, reduce costs, and leverage AI to make smarter, data-driven decisions.</em></p><p>It's been a hot minute since the last episode of the Reliability Enablers podcast.</p><p>Sebastian and I have been working on a few things in our realms. On a personal <em>and </em>work front, I’ve been to over 25 cities in the last 3 months and need a breather.</p><p>Meanwhile, listen to this interesting vendor, Ruchir Jha from Cardinal, working on the cutting edge of o11y to help reduce costs from spiraling out of control. </p><p>(To the skeptics, he did not pay me for this episode)</p><p>Here’s an AI-generated summary of what you can expect in our conversation:</p><p>In this conversation, we explore cutting-edge approaches to FinOps i.e. cost optimization for observability. </p><p>You'll hear about three pressing topics:</p><p>* <strong>Managing Tool Sprawl</strong>: Insights into the common challenge of juggling 5-15 tools and how to identify which ones deliver real value.</p><p>* <strong>Reducing Observability Costs</strong>: Techniques to track and trim waste, including how to uncover cost hotspots like overused or redundant metrics.</p><p>* <strong>AI for Observability Decisions</strong>: Practical ways AI can simplify complex data, empowering non-technical stakeholders to make informed decisions.</p><p>We also touch on the balance between open-source solutions like OpenTelemetry and commercial observability tools. </p><p>Learn how these strategies, informed by Ruchir's experience at Netflix, can help streamline observability operations and cut costs without sacrificing reliability.</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://read.srepath.com?utm_medium=podcast&utm_campaign=CTA_1">read.srepath.com</a>
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