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Sys & Infrast Lifecycle Mngt 1

Information Technology Audit and Cybersecurity, Temple University

Sys & Infrast Lifecycle Mngt 1

MIS 5203.001 ■ Spring 2021 ■ Wade Mackey
  • Home
  • Syllabus
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  • Course Work
    • 1 – Intro/SDLC
    • Planning
      • 2 – Prjct Mngmt & Governance
      • 3 – Business Case & Feasibility
    • Analysis
      • 4 – Requirements Determination
      • 5 – Process Modeling
      • 6 – Data Modeling
      • 7 -Test One
    • Design
      • 10 – HCI (UI)
      • 8 – Database
      • 9 – Software
      • 11 – Test Two
    • Implementation
      • 12 – Architecture
      • 13 – Development & Testing
      • 14 – Migration & Deployment
      • Test 3: Implementation
  • Projects
    • Project 1: Business Case Development
    • Project 2: SDLC
    • Project 3: Systems Design
    • Project 4: Process Re-engineering
    • Project 5: Controls

Week 9 Dev-ops Software Development Methodology – Prince Patel

May 4, 2021 Leave a Comment

DevOps development methodology

DevOps is not just a development methodology but also a set of practices that supports an organizational culture. DevOps deployment centers on organizational change that enhances collaboration between the departments responsible for different segments of the development life cycle, such as development, quality assurance, and operations.

DevOps deployment methodology

Pros: DevOps is focused on improving time to market, lowering the failure rate of new releases, shortening the lead time between fixes, and minimizing disruption while maximizing reliability. To achieve this, DevOps organizations aim to automate continuous deployment to ensure everything happens smoothly and reliably. Companies that use DevOps methods benefit by significantly reducing time to market and improving customer satisfaction, product quality, and employee productivity and efficiency.

Cons: Even in light of its benefits, there are a few drawbacks to DevOps:

  • Some customers don’t want continuous updates to their systems.
  • Some industries have regulations that require extensive testing before a project can move to the operations phase.
  • If different departments use different environments, undetected issues can slip into production.
  • Some quality attributes require human interaction, which slows down the delivery pipeline.

 

ref- https://www.synopsys.com/blogs/software-security/top-4-software-development-methodologies/

 

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