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Automatic Observability for Dockerized Java Applications
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- Zhang, Long (author)
- KTH,Teoretisk datalogi, TCS,ASSERT
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- Tiwari, Deepika (author)
- KTH,Teoretisk datalogi, TCS,ASSERT
- Morin, Brice (author)
- show more...
- Baudry, Benoit (author)
- Monperrus, Martin (author)
- show less...
- (creator_code:org_t)
- English.
- Other publication (other academic/artistic)
Abstract
Subject headings
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- Docker is a virtualization technique heavily used in industry to build cloud-based systems. In this context, observability means that it is hard for engineers to get timely and accurate information about the running state in production, due to scale and virtualization. In this paper, we present a novel approach, called POBS, to automatically improve observability of Dockerized Java applications. POBS is based on automated transformations of Docker configuration files. Our approach injects additional modules in the production application, for providing better observability and for supporting fault injection. We evaluate POBS with open-source Java applications. Our key result is that 564/880 (64%) of Docker configuration files can be automatically augmented with better observability. This calls for more research on automated transformation techniques in the Docker ecosystem.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- observability
- fault injection
- dynamic analysis
- software resilience
- Docker
Publication and Content Type
- vet (subject category)
- ovr (subject category)
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