Review in Adoption of DevOps, AIOps, DataOps, GitOps, MLOps in IT MLEs in Germany

This paper concerns the problem of inefficiency and complexity of I.T. operations in medium-to-large enterprises in Germany. This looks at MLEs struggling to keep pace with progressively intricate technology environments. Such challenges give way to slow and error-prone processes that have a bearing on agility and innovation; effective solutions are highly required. The reason this problem is important and urgent to solve is that, in the absence of reorganized and efficient operations, such an enterprise will continue to drift on the part of competitiveness, facing rising operation costs, falling productivity, and a failure to quickly respond to market demand changes. Other researchers have attempted to approach and describe methodologies related to solving this problem, such as DevOps, AIOps, DataOps, GitOps, and MLOps. These have been studied in isolation, looking for their benefits to improve some aspect of I.T. operations, like automation, data management, and efficiency in deployment. Very often, however, research efforts have been constrained to one methodology at a time, disregarding the more general context of how such methodologies interact with and can be integrated within an organization. This piecemeal approach has resulted in incomplete solutions that do not tackle the fundamental challenges comprehensively. A holistic approach that emphasizes their integration within one unified framework overcomes the shortcomings of previous methodologies. This framework is underpinned through collaborative organizational culture, strong leadership, and commitment to continuous improvement. Here, the solution proposed aligns these methodologies with the broader business objectives of the enterprise to ensure more effective and sustainable results. Case studies of successful adoptions demonstrate this approach through increased efficiency, reduced complexity, and innovation of operations in I.T. This study will, therefore, be a contribution to practical insights and a holistic roadmap to guide the MLEs in Germany toward successful implementation of these modern methodologies and hence help them to overcome their problems and achieve lasting operational improvements.

Authors

Publication Details

Journal
International Journal of Engineering Trends and Technology
Published
2024-12-26
DOI
https://doi.org/10.14445/22315381/ijett-v72i12p106
Citations
2
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
1.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review in Adoption of DevOps, AIOps, DataOps, GitOps, MLOps in IT MLEs in Germany

Hairulnizam Mahdin, Mazidah Binti Mat Rejab, Ihab J. S. Mansour
2 citations
International Journal of Engineering Trends and Technology
Business Process Modeling and Analysis
1.06
article

Review in Adoption of DevOps, AIOps, DataOps, GitOps, MLOps in IT MLEs in Germany

Hairulnizam Mahdin, Mazidah Binti Mat Rejab, Ihab J. S. Mansour
article en
2 citations

Abstract

This paper concerns the problem of inefficiency and complexity of I.T. operations in medium-to-large enterprises in Germany. This looks at MLEs struggling to keep pace with progressively intricate technology environments. Such challenges give way to slow and error-prone processes that have a bearing on agility and innovation; effective solutions are highly required. The reason this problem is important and urgent to solve is that, in the absence of reorganized and efficient operations, such an enterprise will continue to drift on the part of competitiveness, facing rising operation costs, falling productivity, and a failure to quickly respond to market demand changes. Other researchers have attempted to approach and describe methodologies related to solving this problem, such as DevOps, AIOps, DataOps, GitOps, and MLOps. These have been studied in isolation, looking for their benefits to improve some aspect of I.T. operations, like automation, data management, and efficiency in deployment. Very often, however, research efforts have been constrained to one methodology at a time, disregarding the more general context of how such methodologies interact with and can be integrated within an organization. This piecemeal approach has resulted in incomplete solutions that do not tackle the fundamental challenges comprehensively. A holistic approach that emphasizes their integration within one unified framework overcomes the shortcomings of previous methodologies. This framework is underpinned through collaborative organizational culture, strong leadership, and commitment to continuous improvement. Here, the solution proposed aligns these methodologies with the broader business objectives of the enterprise to ensure more effective and sustainable results. Case studies of successful adoptions demonstrate this approach through increased efficiency, reduced complexity, and innovation of operations in I.T. This study will, therefore, be a contribution to practical insights and a holistic roadmap to guide the MLEs in Germany toward successful implementation of these modern methodologies and hence help them to overcome their problems and achieve lasting operational improvements.

International Journal of Engineering Trends and TechnologyVol. 72(12)
Universiti Tun Hussein Onn Malaysia
Openalex Percentile: Top 15%
Business Process Modeling and Analysis
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.