Sökning: "deploy"

Visar resultat 1 - 5 av 387 uppsatser innehållade ordet deploy.

  1. 1. Exploring the use of low-code software development in the automotive industry : thesis conducted at the Scania engine assembly facility

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Matteus Henriksson; [2024]
    Nyckelord :low-code development; no-code; rapid application development; automotive industry; power platform;

    Sammanfattning : The growing demand for IT professionals to develop and maintain software is creating huge concerns for organizations looking to keep up and build resilience. The trends show that there is a large shortage compared to the demand. Manufacturing companies are no exception to this, and the adoption of Industry 4. LÄS MER

  3. 2. To Deploy, or Not to Deploy, That is the Question A qualitative study of the decision-making experiences of engineers deploying software changes in production

    Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Jessica Ann DeVita; [2024]
    Nyckelord :Automation; Common ground; Complexity; Coordination; COVID19 pandemic; Deployment decision; Incident response; Mental model; Naturalistic decision-making; Phenomenology; Resilience; Risk; Software engineering; SRE; Strategy; Temporal reasoning; Uncertainty; Web operations; FLMU06; Technology and Engineering;

    Sammanfattning : The web services that millions of people count on require large-scale computer resources (servers, nodes, networking) and an intricate set of interdependent software services. Under pressure to continually improve these services, code and configuration changes are deployed hundreds or thousands of times every day. LÄS MER

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

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Sammanfattning : 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. LÄS MER

  5. 4. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Shiwei Dong; [2023]
    Nyckelord :;

    Sammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER

  7. 5. Defining an Evaluation Model for Container Orchestration Operator Frameworks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :André Arnesson; Samuel Alberius; [2023]
    Nyckelord :container orchestration; cloud native application; operator; software framework; evaluation model; Technology and Engineering;

    Sammanfattning : The growing complexity of cloud native applications has necessitated the intro- duction of operators to the container orchestration tools’ suite of components. Operators affords developers the ability to encode domain knowledge and make fine-grained controllers for their Kubernetes clusters, radically extending the range of feasible applications to host. LÄS MER