Diminuendo! Tactics in Support of FaaS Migrations

Werner, Sebastian; Kuhlenkamp, Jörn; Pallas, Frank; Anders, Niklas; Mucaj, Nebi; Tsaplina, Olesia; Schmidt, Christian Martin; Yildirim, Kann

doi:10.1007/978-3-030-58858-8_13

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…The lack of observability in cloud-based applications is especially apparent in fully managed services like serverless platforms [1]. These platforms enable workload driven, elastic utilization of resources, with FaaS being the most prominent example.…”

Section: Introductionmentioning

confidence: 99%

FaaSter Troubleshooting -- Evaluating Distributed Tracing Approaches for Serverless Applications

Borges¹,

Werner²,

Kilic³

2021

Preprint

Self Cite

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Serverless applications can be particularly difficult to troubleshoot, as these applications are often composed of various managed and partly managed services. Faults are often unpredictable and can occur at multiple points, even in simple compositions. Each additional function or service in a serverless composition introduces a new possible fault source and a new layer to obfuscate faults. Currently, serverless platforms offer only limited support for identifying runtime faults. Developers looking to observe their serverless compositions often have to rely on scattered logs and ambiguous error messages to pinpoint root causes.In this paper, we investigate the use of distributed tracing for improving the observability of faults in serverless applications. To this end, we first introduce a model for characterizing fault observability, then provide a prototypical tracing implementation-specifically, a developer-driven and a platform-supported tracing approach. We compare both approaches with our model, measure associated trade-offs (execution latency, resource utilization), and contribute new insights for troubleshooting serverless compositions.

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Section: Introductionmentioning

confidence: 99%

FaaSter Troubleshooting -- Evaluating Distributed Tracing Approaches for Serverless Applications

Borges¹,

Werner²,

Kilic³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

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Application-Platform Co-design for Serverless Data Processing

Werner¹,

Tai

2021

Service-Oriented Computing

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Survey on serverless computing

2021

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Serverless computing has gained importance over the last decade as an exciting new field, owing to its large influence in reducing costs, decreasing latency, improving scalability, and eliminating server-side management, to name a few. However, to date there is a lack of in-depth survey that would help developers and researchers better understand the significance of serverless computing in different contexts. Thus, it is essential to present research evidence that has been published in this area. In this systematic survey, 275 research papers that examined serverless computing from well-known literature databases were extensively reviewed to extract useful data. Then, the obtained data were analyzed to answer several research questions regarding state-of-the-art contributions of serverless computing, its concepts, its platforms, its usage, etc. We moreover discuss the challenges that serverless computing faces nowadays and how future research could enable its implementation and usage.

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Diminuendo! Tactics in Support of FaaS Migrations

Cited by 4 publications

References 9 publications

FaaSter Troubleshooting -- Evaluating Distributed Tracing Approaches for Serverless Applications

FaaSter Troubleshooting -- Evaluating Distributed Tracing Approaches for Serverless Applications

Application-Platform Co-design for Serverless Data Processing

Survey on serverless computing

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