Resolving Access to Application Dependency Challenges Using Containerization

Abstract

This paper describes a method for delivery of data science tools and their capabilities to those that are not familiar with the setup, usage, and maintenance involved in using these tools. It demonstrates removal of the administration overhead required to gain the powerful advantage that more modern data science visualization tools offer, and ultimately provide a method for enabling a broader portion of the workforce to achieve rapid results and ease the overall use of the tools available to them. This paper follows the path of Initially beginning as simply building a tool to provide for a group in need, then requiring improvements in usability and iteration. Through this iteration, a network traffic visualization tool leveraging Jupyter Notebooks and Docker to rapidly provide a dashboard overview of network traffic health was developed, enabling a rapid capability delivered for nearly any environment and usable by the workforce unfamiliar with complex data science tools.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2022
Accession Number
AD1173871

Entities

People

  • John K. Williamson
  • Stephen T. Pease

Organizations

  • Naval Information Warfare Center Pacific

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Automation
  • Computer Programming
  • Data Science
  • Data Visualization
  • Engineering
  • Environment
  • Governments
  • High Performance Computing
  • Information Operations
  • Information Warfare
  • Iterations
  • Maintenance
  • Network Protocols
  • Operating Systems
  • United States
  • United States Government
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy