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MicroView: Cloud-Native Observability with Temporal Precision

Published: 05 December 2023 Publication History

Abstract

We present MicroView, a system designed to improve the accuracy and timeliness of observability in cloud-native applications, while minimizing overhead. MicroView stands out from conventional observability tools by incorporating metrics processing stages at every node within a local lightweight data-plane. We preliminary demonstrate its benefits for distributed tracing and outline a set of architectural choices focused on offloading the MicroView data-plane to IPU accelerators, such as a BlueField-3 SmartNIC, thus limiting the interference with running services.

References

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2023. Online-boutique. https://github.com/GoogleCloudPlatform/microservices-demo
[2]
Hao Huang and Shiva Prasad Kasiviswanathan. 2015. Streaming anomaly detection using randomized matrix sketching. VLDB Endowment 9, 3 (2015), 192--203.
[3]
Jörg Thalheim, Antonio Rodrigues, Istemi Ekin Akkus, Pramod Bhatotia, Ruichuan Chen, Bimal Viswanath, Lei Jiao, and Christof Fetzer. 2017. Sieve: Actionable insights from monitored metrics in distributed systems. In ACM/IFIP/USENIX Middleware.
[4]
Zhe Wang, Teng Ma, Linghe Kong, Zhenzao Wen, Jingxuan Li, Zhuo Song, Yang Lu, Guihai Chen, and Wei Cao. 2022. Zero Overhead Monitoring for Cloud-native Infrastructure using RDMA. In USENIX ATC.
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XingdaWei, Rongxin Cheng, Yuhan Yang, Rong Chen, and Haibo Chen. 2023. Characterizing Off-path SmartNIC for Accelerating Distributed Systems. In USENIX OSDI.
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Lei Zhang, Zhiqiang Xie, Vaastav Anand, Ymir Vigfusson, and Jonathan Mace. 2023. The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems. In USENIX NSDI.

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Published In

cover image ACM Conferences
CoNEXT-SW '23: Proceedings of the on CoNEXT Student Workshop 2023
December 2023
41 pages
ISBN:9798400704529
DOI:10.1145/3630202
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2023

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Author Tags

  1. SmartNIC
  2. cloud-native
  3. microservices observability
  4. programmable networks

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