Essays about: "DevOps maturity model"

Found 4 essays containing the words DevOps maturity model.

1. 1. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Nico Pistor; [2023]
   Keywords : MLOps; Machine Learning Operations; Development Process; Machine Learning; Artificial Intelligence; DevOps; Collaboration;

   Abstract : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. READ MORE

3. 2. Evaluation of using knowledge retention practices in a DevOps workflow

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Simon Jakobsson; Linnéa Ivansson; [2023]
   Keywords : DevOps; Knowledge loss; Knowledge retention; Developer turnover; Automation; Knowledge management; DevOps maturity model; Knowledge repositories; Continuous workflow;

   Abstract : This thesis explores applying DevOps practices to mitigate knowledge loss in project-based environments. In the context of high developer turnover, the study aims to implement a standardised DevOps workflow using automation and knowledge management. READ MORE

4. 3. An Empirical Study on AI Workflow Automation for Positioning

   University essay from Linköpings universitet/Programvara och system

   Author : Hannes Jämtner; Stefan Brynielsson; [2022]
   Keywords : MLOps; ML; AI; Machine Learning; Artificial Intelligence; Radio Antenna Positioning; MLOps Maturity Levels; Radio Access Network; RAN; Kubeflow; KServe; DVC; Data Version Control; MinIO; Kubernetes; Kind; Docker;

   Abstract : The maturing capabilities of Artificial Intelligence (AI) and Machine Learning (ML) have resulted in increased attention in research and development on adopting AI and ML in 5G and future networks. With the increased maturity, the usage of AI/ML models in production is becoming more widespread, and maintaining these systems is more complex and likely to incur technical debt when compared to standard software. READ MORE

5. 4. Evaluation of a qualitative model for a company's technical maturity within Continuous Integration, Continuous Delivery and DevOps

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Per Hagsten; [2018]
   Keywords : Continuous Integration; Continuous Delivery; Development Operations; Software Development; Interview Study; Qualitative Study; Continuous Integration; Continuous Delivery; Development Operations; Mjukvaruutveckling; Intervjustudie; Kvalitativ studie;

   Abstract : The purpose of this study is to continue development of a benchmarking model to help companies assess their technical maturity when it comes to adopting Continuous Integration, Continuous Delivery and DevOps in their organization. The goal of the research is to assess how to improve the quality of qualitative models. READ MORE