2,566 research outputs found
Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World
This report documents the program and the outcomes of GI-Dagstuhl Seminar
16394 "Software Performance Engineering in the DevOps World".
The seminar addressed the problem of performance-aware DevOps. Both, DevOps
and performance engineering have been growing trends over the past one to two
years, in no small part due to the rise in importance of identifying
performance anomalies in the operations (Ops) of cloud and big data systems and
feeding these back to the development (Dev). However, so far, the research
community has treated software engineering, performance engineering, and cloud
computing mostly as individual research areas. We aimed to identify
cross-community collaboration, and to set the path for long-lasting
collaborations towards performance-aware DevOps.
The main goal of the seminar was to bring together young researchers (PhD
students in a later stage of their PhD, as well as PostDocs or Junior
Professors) in the areas of (i) software engineering, (ii) performance
engineering, and (iii) cloud computing and big data to present their current
research projects, to exchange experience and expertise, to discuss research
challenges, and to develop ideas for future collaborations
Service Level Agreement-based GDPR Compliance and Security assurance in (multi)Cloud-based systems
Compliance with the new European General Data Protection Regulation (Regulation (EU) 2016/679) and security
assurance are currently two major challenges of Cloud-based systems. GDPR compliance implies both privacy and security
mechanisms definition, enforcement and control, including evidence collection. This paper presents a novel DevOps
framework aimed at supporting Cloud consumers in designing, deploying and operating (multi)Cloud systems that include
the necessary privacy and security controls for ensuring transparency to end-users, third parties in service provision (if any)
and law enforcement authorities. The framework relies on the risk-driven specification at design time of privacy and security
level objectives in the system Service Level Agreement (SLA) and in their continuous monitoring and enforcement at runtime.The research leading to these results has received
funding from the European Union’s Horizon 2020 research
and innovation programme under grant agreement No 644429
and No 780351, MUSA project and ENACT project,
respectively. We would also like to acknowledge all the
members of the MUSA Consortium and ENACT Consortium
for their valuable help
DevOps in Practice -- A preliminary Analysis of two Multinational Companies
DevOps is a cultural movement that aims the collaboration of all the
stakeholders involved in the development, deployment and operation of soft-ware
to deliver a quality product or service in the shortest possible time. DevOps
is relatively recent, and companies have developed their DevOps prac-tices
largely from scratch. Our research aims to conduct an analysis on practic-ing
DevOps in +20 software-intensive companies to provide patterns of DevOps
practices and identify their benefits and barriers. This paper presents the
preliminary analysis of an exploratory case study based on the interviews to
relevant stakeholders of two (multinational) companies. The results show the
benefits (software delivery performance) and barriers that these companies are
dealing with, as well as DevOps team topology they approached during their
DevOps transformation. This study aims to help practitioners and researchers to
better understand DevOps transformations and the contexts where the practices
worked. This, hopefully, will contribute to strengthening the evidence
regarding DevOps and supporting practitioners in making better informed
decisions about the return of investment when adopting DevOps.Comment: 8 pages, 1 figure, 2 tables, conferenc
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