MicroView: Cloud-Native Observability with Temporal Precision

Alessandro Cornacchia; Theophilus A. Benson; Muhammad Bilal; Marco Canini

doi:10.1145/3630202.3630233

MicroView: Cloud-Native Observability with Temporal Precision

Alessandro Cornacchia, Theophilus A. Benson, Muhammad Bilal, Marco Canini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English (US)
Title of host publication	CoNEXT-SW 2023 - Proceedings of the CoNEXT Student Workshop 2023
Publisher	Association for Computing Machinery, Inc
Pages	7-8
Number of pages	2
ISBN (Electronic)	9798400704529
DOIs	https://doi.org/10.1145/3630202.3630233
State	Published - Dec 8 2023
Event	2023 CoNEXT Student Workshop, CoNEXT-SW 2023 - Paris, France Duration: Dec 8 2023 → …

Publication series

Name	CoNEXT-SW 2023 - Proceedings of the CoNEXT Student Workshop 2023

Conference

Conference	2023 CoNEXT Student Workshop, CoNEXT-SW 2023
Country/Territory	France
City	Paris
Period	12/8/23 → …

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Keywords

cloud-native
microservices observability
programmable networks
SmartNIC

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1145/3630202.3630233

Cite this

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title = "MicroView: Cloud-Native Observability with Temporal Precision",

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.",

keywords = "cloud-native, microservices observability, programmable networks, SmartNIC",

author = "Alessandro Cornacchia and Benson, {Theophilus A.} and Muhammad Bilal and Marco Canini",

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year = "2023",

month = dec,

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doi = "10.1145/3630202.3630233",

language = "English (US)",

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Cornacchia, A, Benson, TA, Bilal, M & Canini, M 2023, MicroView: Cloud-Native Observability with Temporal Precision. in CoNEXT-SW 2023 - Proceedings of the CoNEXT Student Workshop 2023. CoNEXT-SW 2023 - Proceedings of the CoNEXT Student Workshop 2023, Association for Computing Machinery, Inc, pp. 7-8, 2023 CoNEXT Student Workshop, CoNEXT-SW 2023, Paris, France, 12/8/23. https://doi.org/10.1145/3630202.3630233

MicroView: Cloud-Native Observability with Temporal Precision. / Cornacchia, Alessandro; Benson, Theophilus A.; Bilal, Muhammad et al.
CoNEXT-SW 2023 - Proceedings of the CoNEXT Student Workshop 2023. Association for Computing Machinery, Inc, 2023. p. 7-8 (CoNEXT-SW 2023 - Proceedings of the CoNEXT Student Workshop 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bilal, Muhammad

AU - Canini, Marco

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AB - 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.

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MicroView: Cloud-Native Observability with Temporal Precision

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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