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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publicationACM International Conference on Distributed and Event‐based Systems (DEBS)
PublisherAssociation for Computing Machinery
Publication date28 Jun 2021
Publication statusPublished - 28 Jun 2021
Event15th ACM International Conference on Distributed and Event-based Systems - Virtual
Duration: 28 Jun 20212 Jul 2021


Conference15th ACM International Conference on Distributed and Event-based Systems

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