FaaSter Troubleshooting - Evaluating Distributed Tracing Approaches for Serverless Applications

Borges, Maria Carolina; Werner, Sebastian; Kiliç, Ahmet

doi:10.1109/ic2e52221.2021.00022

Cited by 9 publications

(2 citation statements)

References 13 publications

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“…Multilevel observability is introduced in [26], considering both applicationoriented and infrastructure-oriented metrics to improve automatic orchestration in cloud environments. The use of distributed tracing techniques to support observability in serverless applications and provide insights for troubleshooting purposes is examined in [27]. In [28], an approach is provided to evaluate observability of microservices both in an offline and an implementation-agnostic manner.…”

Section: Related Workmentioning

confidence: 99%

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Tzanettis

Androna

Zafeiropoulos

et al. 2022

Sensors

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Nowadays, various frameworks are emerging for supporting distributed tracing techniques over microservices-based distributed applications. The objective is to improve observability and management of operational problems of distributed applications, considering bottlenecks in terms of high latencies in the interaction among the deployed microservices. However, such frameworks provide information that is disjoint from the management information that is usually collected by cloud computing orchestration platforms. There is a need to improve observability by combining such information to easily produce insights related to performance issues and to realize root cause analyses to tackle them. In this paper, we provide a modern observability approach and pilot implementation for tackling data fusion aspects in edge and cloud computing orchestration platforms. We consider the integration of signals made available by various open-source monitoring and observability frameworks, including metrics, logs and distributed tracing mechanisms. The approach is validated in an experimental orchestration environment based on the deployment and stress testing of a proof-of-concept microservices-based application. Helpful results are produced regarding the identification of the main causes of latencies in the various application parts and the better understanding of the behavior of the application under different stressing conditions.

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Section: Related Workmentioning

confidence: 99%

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Tzanettis

Androna

Zafeiropoulos

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Additionally, to materialize the economic benefits of serverless computing, systems have to be serverless themselves. Unfortunately, current distributed tracing systems (e. g., Dapper [16]), database observability approaches (e. g., [7]), or serverless application tracing (e. g., [9,12]) do not cover these challenges.…”

Section: Introductionmentioning

confidence: 99%

Doppler

Bodner

Pietz

Bollmeier

et al. 2022

Proceedings of the International Workshop on Big Data in Emergent Distributed Environments

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Analyzing and understanding query execution dynamics in distributed cloud-based databases is difficult and requires laborious system designs. Serverless query execution, with its massive amount of small, short-lived, and stateless query workers, is even more challenging. To meet this challenge and materialize the economic benefits of serverless computing, all system components have to be serverless themselves. We demonstrate Doppler, a serverless toolkit designed to trace serverless data processing systems with minimal performance and cost overhead and to provide a deep understanding of their query execution. We highlight Doppler's features and capabilities through a proof-of-concept implementation with the serverless data processing system Skyrise. CCS CONCEPTS• Information systems → Database utilities and tools; Database query processing; Relational parallel and distributed DBMSs; • Computer systems organization → Cloud computing.

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Application-Platform Co-design for Serverless Data Processing

Werner¹,

Tai

2021

Service-Oriented Computing

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FaaSter Troubleshooting - Evaluating Distributed Tracing Approaches for Serverless Applications

Cited by 9 publications

References 13 publications

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Doppler

Application-Platform Co-design for Serverless Data Processing

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