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The New Stack PodcastAuthor: The New Stack
The New Stack Podcast is all about the developers, software engineers and operations people who build at-scale architectures that change the way we develop and deploy software. For more content from The New Stack, subscribe on YouTube at: https://www.youtube.com/c/TheNewStack Language: en Genres: News, Tech News, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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How to find failures without drowning in tracing data
Episode 1638
Thursday, 3 September, 2026
Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce downtime and developer burnout, collecting every trace creates its own problems. Storing massive volumes of data is expensive, can burden the systems being monitored and makes it harder to find the information that actually matters.The solution isn’t abandoning tracing, but being smarter about what gets retained. Head sampling captures only a portion of traces upfront, while tail sampling evaluates completed traces and keeps those most valuable for troubleshooting. Dynamic sampling goes further by filtering repetitive or nearly identical traces before they overwhelm storage.On The New Stack podcast, Sarah Hudspeth of Chronosphere, a Palo Alto Networks company, explains how teams can build a more effective tracing strategy. She breaks down how thoughtful sampling and observability design can turn tracing from a data-hoarding problem into a practical tool for production troubleshooting. Learn more from The New Stack around the latest in tracing:Sampling: the philosopher’s stone of distributed tracingHow OpenTelemetry Works: Tracing, Metrics and Logs on KubernetesWhy Synthetic Tracing Delivers Better Data, Not Just More DataJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.
