IAC2: Infrastructure-as-code Architecture Decision Compliance

IAC2：基础设施即代码架构决策合规性

• 批准号: 314720630
• 负责人: Professor Dr. Frank Leymann
• 金额: --
• 依托单位: Forschungsgruppe Software Architecture
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/314720630?language=en
• 关键词: IAC2; Infrastructure; code; Architecture; Decision

Infrastructure-as-code (IaC) helps practitioner to automatically provision and manage IT infrastructures at scale, rather than using manual processes. The promise of IaC is easy, rapid, secure, reliable, and repeatable IT infrastructure provisioning and management. In IaC design and development many complex architectural design decisions (ADD) are made for the IaC system, the underlying infrastructure, and the software system to be delivered. Today foundations to make the (often huge) complexity of IaC manageable are missing, leading to low quality, high risks, and high costs/efforts in IaC design and development. The project has the objective to develop foundational concepts and methods to address these research gaps by studying the following research questions:RQ1: How can the informal IaC established practices documented in the literature today be specified in a rigorous way?RQ2: How can a broad set of IaC code and especially architecture smells and patterns be identified and detected in a systematic and automated fashion?RQ3: How can the enormous complexity of large-scale IaC architectures be tackled through evidence-based decision making?To address the research questions, the project aims to reduce complexity and improve quality through rigorous IaC ADD compliance specifications, and reduce risks and uncertainties by basing these specifications on established patterns and bad smells. Based on this foundation, it aims to provide means for precise identification of these patterns and bad smells in IaC code and architectures, and to provide automatic detection in IaC code and architectures. Together these contributions will enable improving quality through precise identification and automatic detection, and reducing risks and uncertainties by replacing manual processes, which also reduces the necessary costs and efforts in especially maintaining complex IaC architectures. Finally, the project aims to provide novel means for continuously measuring and monitoring IaC compliance improvements and degradations, thus enabling evidence-based improvement of the architecture. All project results will be evaluated in various empirical studies. While IaC has been used as a tool to help continuously improve the system to be deployed, e.g. for cloud applications, the evolution of the IaC architecture itself has not yet been studied in the literature. Given the broad use of IaC in practice and the enormous complexity of existing IaC architectures in large deployments, it is rather likely that often non-optimal decisions will be made, leading to severe design issues. This problem has not been addressed by any major research effort yet and requires new foundational research.

基础架构AS-CODE（IAC）可帮助从业者自动提供和管理IT基础架构，而不是使用手动过程。 IAC的承诺是简单，快速，安全，可靠且可重复的IT基础架构提供和管理。在IAC设计和开发中，许多复杂的建筑设计决策（ADD）是为IAC系统，基础基础架构和要交付的软件系统做出的。如今，使IAC可管理的（通常是巨大）复杂性的基础缺失，导致IAC设计和开发中的高质量，高风险和高成本/努力。该项目的目标是通过研究以下研究问题来开发基本概念和方法来解决这些研究差距：RQ1：如何以严格的方式指定今天文献中的非正式IAC建立的实践？通过基于证据的决策来解决架构？为了解决研究问题，该项目旨在通过严格的IAC增加合规规范来降低复杂性并提高质量，并通过将这些规范基于确定的模式和不良气味来减少风险和不确定性。基于这个基础，它旨在提供精确识别IAC代码和体系结构中这些模式和不良气味的方法，并在IAC代码和体系结构中提供自动检测。这些贡献将通过精确的识别和自动检测来提高质量，并通过替换手动流程来降低风险和不确定性，从而降低了在维持复杂的IAC架构方面的必要成本和努力。最后，该项目旨在为不断衡量和监视IAC依从性的改进和降解提供新颖的手段，从而为循证建筑提供基于证据的改进。所有项目结果将在各种经验研究中进行评估。尽管IAC已被用作帮助不断改善要部署的系统的工具，例如对于云应用，文献中尚未研究IAC架构本身的演变。鉴于IAC在实践中的广泛使用以及在大型部署中现有IAC体系结构的巨大复杂性，因此通常会做出非最佳决策，从而导致严重的设计问题。任何重大研究工作尚未解决这个问题，需要新的基础研究。