HawkEDA: A Tool for Quantifying Data Integrity Violations in Event-driven Microservices

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

A microservice architecture advocates for subdividing an application into small and independent components, each communicating via well-defined APIs or asynchronous events, to allow for higher scalability, availability, and fault isolation. However, the implementation of substantial amount of data management logic at the application-tier and the existence of functional dependencies cutting across microservices create a great barrier for developers to reason about application safety and performance trade-offs.

To fill this gap, this work presents HawkEDA, the first data management tool that allows practitioners to experiment their microservice applications with different real-world workloads to quantify the amount of data integrity anomalies. In our demonstration, we present a case study of a popular open-source event-driven microservice to showcase the interface through which developers specify application semantics and the flexibility of HawkEDA.
TitelACM International Conference on Distributed and Event‐based Systems (DEBS)
ForlagAssociation for Computing Machinery
Publikationsdato28 jun. 2021
StatusUdgivet - 28 jun. 2021
Begivenhed15th ACM International Conference on Distributed and Event-based Systems - Virtual
Varighed: 28 jun. 20212 jul. 2021


Konference15th ACM International Conference on Distributed and Event-based Systems

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