Smart Brix—a continuous evolution framework for container application deployments

Author:

Schleicher Johannes M.1,Vögler Michael1,Inzinger Christian2,Dustdar Schahram1

Affiliation:

1. Distributed Systems Group, TU Wien, Vienna, Austria

2. S.E.A.L—Software Evolution & Architecture Lab, University of Zürich, Zürich, Switzerland

Abstract

Container-based application deployments have received significant attention in recent years. Operating system virtualization based on containers as a mechanism to deploy and manage complex, large-scale software systems has become a popular mechanism for application deployment and operation. Packaging application components into self-contained artifacts has brought substantial flexibility to developers and operation teams alike. However, this flexibility comes at a price. Pracitioners need to respect numerous constraints ranging from security and compliance requirements, to specific regulatory conditions. Fulfilling these requirements is especially challenging in specialized domains with large numbers of stakeholders. Moreover, the rapidly growing number of container images to be managed due to the introduction of new or updated applications and respective components, leads to significant challenges for container management and adaptation. In this paper, we introduce Smart Brix, a framework for continuous evolution of container application deployments that tackles these challenges. Smart Brix integrates and unifies concepts of continuous integration, runtime monitoring, and operational analytics. Furthermore, it allows practitioners to define generic analytics and compensation pipelines composed of self-assembling processing components to autonomously validate and verify containers to be deployed. We illustrate the feasibility of our approach by evaluating our framework using a case study from the smart city domain. We show that Smart Brix is horizontally scalable and runtime of the implemented analysis and compensation pipelines scales linearly with the number of container application packages.

Funder

URBEM

Publisher

PeerJ

Subject

General Computer Science

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1. An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications;2018 9th International Workshop on Empirical Software Engineering in Practice (IWESEP);2018-12

2. Modeling and management of usage-aware distributed datasets for global Smart City Application Ecosystems;PeerJ Computer Science;2017-05-22

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