DocumentCode
2527098
Title
Automated Capturing and Systematic Usage of DevOps Knowledge for Cloud Applications
Author
Wettinger, Johannes ; Andrikopoulos, Vasilios ; Leymann, Frank
Author_Institution
Inst. of Archit. of Applic. Syst. (IAAS), Univ. of Stuttgart, Stuttgart, Germany
fYear
2015
fDate
9-13 March 2015
Firstpage
60
Lastpage
65
Abstract
DevOps is an emerging paradigm to actively foster the collaboration between system developers and operations in order to enable efficient end-to-end automation of software deployment and management processes. DevOps is typically combined with Cloud computing, which enables rapid, on-demand provisioning of underlying resources such as virtual servers, storage, or database instances using APIs in a self-service manner. Today, an ever-growing amount of DevOps tools, reusable artifacts such as scripts, and Cloud services are available to implement DevOps automation. Thus, informed decision making on the appropriate approach (es) for the needs of an application is hard. In this work we present a collaborative and holistic approach to capture DevOps knowledge in a knowledgebase. Beside the ability to capture expert knowledge and utilize crowd sourcing approaches, we implemented a crawling framework to automatically discover and capture DevOps knowledge. Moreover, we show how this knowledge is utilized to deploy and operate Cloud applications.
Keywords
application program interfaces; cloud computing; API; DevOps knowledge; automated capturing; cloud applications; cloud computing; cloud services; end-to-end automation; knowledge base systems; software deployment process; software management process; systematic usage; virtual servers; Collaboration; Databases; Engines; Google; Knowledge engineering; Middleware; Servers; Cloud Computing; Crawling; DevOps; Knowledge Management; Knowledge Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Engineering (IC2E), 2015 IEEE International Conference on
Conference_Location
Tempe, AZ
Type
conf
DOI
10.1109/IC2E.2015.23
Filename
7092900
Link To Document