Efficient Navigation of Cloud Performance with ’nuffTrace

Abstract

Distributed tracing has become an essential tool to navigate performance of complex, distributed cloud-native applications, providing a comprehensive view of a request from end-to-end. However, the sheer amount of data generated by distributed tracing can be overwhelming, making it difficult to store, process, and extract meaningful insights. This paper presents the vision of ’nuffTrace that embodies a novel tree-based probabilistic data structure that summarizes trace data in a compact form without storing all of the data, enabling developers to analyze cloud application performance with high accuracy and efficiency.