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  • Broschiertes Buch

With this practical guide, you'll learn what distributed tracing is and how to use it to understand the performance and operation of your software.

Produktbeschreibung
With this practical guide, you'll learn what distributed tracing is and how to use it to understand the performance and operation of your software.
Autorenporträt
Austin Parker is an Open Source Software Engineer at LightStep, where he works as a core contributor and maintainer to the OpenTracing project. Prior to LightStep, he was a Software Architect at Apprenda building enterprise platforms using Kubernetes. Daniel Spoonhower is a co-founder at LightStep, where he's building performance management tools for modern software systems. Previously, Spoons spent almost six years at Google where he worked on developer tools as part of both Google's internal infrastructure and Cloud Platform teams. He has published papers on the performance of parallel programs, garbage collection, and real-time programming. He has a PhD in programming languages from Carnegie Mellon University but still hasn't found one he loves. Jonathan Mace is a tenure track faculty member at the Max Planck Institute for Software Engineering. His areas of research include cloud systems, distributed systems, networking, and operating systems. Ben Sigelman is the CEO and co-founder of LightStep, co-creator of Dapper (Google's distributed tracing tool that helps developers make sense of their large-scale distributed systems), and co-creator of the open-source OpenTracing API standard (a project within the CNCF). Rebecca Isaacs is a software engineer currently focused on the performance tuning and debugging of large-scale data center services. She was previously a research scientist, most recently at Google. She first started thinking about tracing for distributed systems over 15 years ago while at Microsoft Research, which she joined after obtaining a PhD from Cambridge University and a BSc from the University of Glasgow.