Archivio Istituzionale della RicercaWe 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.
MicroView: Cloud-Native Observability with Temporal Precision / Cornacchia, Alessandro; Benson, Theophilus; Bilal, Muhammad; Canini, Marco. - ELETTRONICO. - (2023), pp. 7-8. (Intervento presentato al convegno CoNEXT '23: The 19th International Conference on emerging Networking EXperiments and Technologies tenutosi a Paris (France) nel 8 December 2023) [10.1145/3630202.3630233].
MicroView: Cloud-Native Observability with Temporal Precision
Cornacchia,Alessandro;
2023
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.
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https://hdl.handle.net/11583/2983046