Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry

Guerriero, Michele; Garriga, Martín; Tamburri, Damian A.; Palomba, Fabio

doi:10.1109/icsme.2019.00092

Cited by 87 publications

(71 citation statements)

References 15 publications

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“…Infrastructure-as-Code (IaC) [24] is a model for provisioning and managing a computing environment using the explicit definition of the desired state of the environment in source code via a Domain Specific Language (DSL), and applying software engineering principles, methodologies, and tools. The interest in IaC is growing steadily in both academia and industry [7,27]. Instead of low-level shell scripting languages, the IaC process uses high-level DSLs that can be used to design, build, and test the computing environment as if it is a software application/project.…”

Section: Iac and Ansiblementioning

confidence: 99%

“…SODALITE@RT prototype uses the Ansible IaC language 2 to operationalize the TOSCA based deployment models. Ansible is one of the most popular languages amongst practitioners, according to our previous survey with practitioners [7]. In Ansible, a playbook defines an IT infrastructure automation workflow as a set of ordered tasks over one or more inventories consisting of managed infrastructure nodes.…”

Section: Iac and Ansiblementioning

confidence: 99%

“…In the last decade, the automated deployment and management of applications have been considered vitally crucial by both academia and industry [3][4][5][6][7][8][9]. Most current works focus on deploying applications on clouds [10][11][12][13], including multi-clouds [5,[14][15][16] and hybrid clouds [17,18].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Kumara

Mundt²,

Tokmakov

et al. 2021

J Grid Computing

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IoT-based applications need to be dynamically orchestrated on cloud-edge infrastructures for reasons such as performance, regulations, or cost. In this context, a crucial problem is facilitating the work of DevOps teams in deploying, monitoring, and managing such applications by providing necessary tools and platforms. The SODALITE@RT open-source framework aims at addressing this scenario. In this paper, we present the main features of the SODALITE@RT: modeling of cloud-edge resources and applications using open standards and infrastructural code, and automated deployment, monitoring, and management of the applications in the target infrastructures based on such models. The capabilities of the SODALITE@RT are demonstrated through a relevant case study.

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Section: Iac and Ansiblementioning

confidence: 99%

Section: Iac and Ansiblementioning

confidence: 99%

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SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

Kumara

Mundt²,

Tokmakov

et al. 2021

J Grid Computing

Self Cite

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show abstract

“…The RADON project aims to define a decision-making toolkit to optimize microservices in terms of size, dependencies, and costs by leveraging a reference set of architectural patterns and service templates [1]. To support this goal, the RADON methodology will integrate a workflow that enables decision making on architecture optimization through the decomposition tool.…”

Section: Conclusion and Research Roadmapmentioning

confidence: 99%

“…Furthermore, the rising of serverless solutions, combined with microservices, has forced an ever-increase demand for tools and techniques to establish and maintain them across the entire DevOps lifecycle [1]. With those challenges in mind, the RADON approach for serverless computing comes to play.…”

Section: Introductionmentioning

confidence: 99%

DevOps and Quality Management in Serverless Computing: The RADON Approach

Palma

Garriga

Nucci

et al. 2021

Communications in Computer and Information Science

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The onset of microservices and serverless computer solutions has forced an ever-increasing demand for tools and techniques to establish and maintain the quality of infrastructure code, the blueprint that drives the operationalization of large-scale software systems. In the EU H2020 project RADON, we propose a machine-learning approach to elaborate and evolve Infrastructure-as-Code as part of a full-fledged industrial-strength DevOps pipeline. This paper illustrates RADON and shows our research roadmap.

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“Through the looking‐glass …” An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications

Palma

Asseldonk

Catolino

et al. 2023

J Software Evolu Process

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Infrastructure‐as‐code (IaC) helps keep up with the demand for fast, reliable, high‐quality services by provisioning and managing infrastructures through configuration files. Those files ensure efficient and repeatable routines for system provisioning, but they might be affected by code smells that negatively affect quality and code maintenance. Research has broadly studied code smells for traditional source code development; however, none explored them in the “Topology and Orchestration Specification for Cloud Applications” (TOSCA), the technology‐agnostic OASIS standard for IaC. In this paper, we investigate a prominent traditional implementation code smell potentially applicable to TOSCA: Large Class, or “Blob Blueprint” in IaC terms. We compare metrics‐based and unsupervised learning‐based detectors on a large dataset of manually validated observations related to Blob Blueprints. We provide insights on code metrics that corroborate previous findings and empirically show that metrics‐based detectors perform highly in detecting Blob Blueprints. We deem our results put forward a new research path toward dealing with this problem, for example, in the scope of fully automated service pipelines.

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Adoption, Support, and Challenges of Infrastructure-as-Code: Insights from Industry

Cited by 87 publications

References 15 publications

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

DevOps and Quality Management in Serverless Computing: The RADON Approach

“Through the looking‐glass …” An empirical study on blob infrastructure blueprints in the Topology and Orchestration Specification for Cloud Applications

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