Narwal
  • Let's Talk
  • Home
  • About us
  • Services
    • AI
      • ML
      • Generative AI
      • Intelligent Automation
    • Quality Engineering
      • Test Advisory & Transformation Services
      • Quality Assurance
      • Software Test Automation
      • Enterprise Apps Testing
    • Data
      • Data Engineering
      • Data Modernization
      • Data Monetization
    • Cloud
      • Cloud Migration
      • Cloud Modernization
      • Data Management
  • Careers
  • Insights
CONTACT US
  • Cloud Use Cases
  • Dec 20

Test & Development

Test & Development

Actor

DevOps Team

Scenario

The DevOps Team needs a development environment to build, test, and deploy software applications.

The DevOps Team utilizes cloud computing to quickly spin up development, testing, and production environments based on specific needs.

The cloud-based development environment includes automated provisioning of physical and virtual machines, streamlining the setup process.

Without utilizing cloud computing, organizations would need to secure a budget and set up testing environments with physical assets, which can be time-consuming and costly.

Cloud computing accelerates the development process by providing cloud-based development tools and platforms that make creating apps and software faster, easier, and more cost-effective.

Cloud computing also enables the DevOps process, CI/CD pipelines, and cloud-native advancements like microservices, serverless computing, and containerization.

These technologies facilitate rapid acceleration and innovation in software development, but rely on a self-sustaining cloud infrastructure capable of supporting the hundreds of services involved.

Use Case

Use Case Name: Utilizing a Cloud-based Software Development Environment

Primary Actor: DevOps Team

Goal: To accelerate the software development process by leveraging cloud computing to quickly provision development, testing, and production environments tailored to specific needs.

Pre-conditions: The DevOps Team has access to cloud computing resources and tools.

Post-conditions: The DevOps Team can efficiently build, test, and deploy software applications in a cloud-based environment, benefiting from faster development cycles, cost savings, and the ability to utilize cloud-native advancements.

Related Posts

The Rise of Cloud Computing
Blog Cloud

The Rise of Cloud Computing

Cloud computing is revolutionizing businesses across various industries, enabling them to scale operations, improve efficiency, and drive innovation. As we head towards 2025, the adoption of cloud computing is expected to soar, bringing about significant…

khitish@
  • Feb 14
Clash of the Cloud Giants
Blog Cloud

Clash of the Cloud Giants

Cloud computing has completely transformed the way businesses operate, offering them flexibility, scalability, and cost efficiency. In this blog, we will explore the three major players in the cloud computing industry: Amazon Web Services (AWS),…

khitish@
  • Feb 09

Post a Comment

Categories

  • Blog
  • Use Cases
  • Success Story

Latest Post

Driving Change with Generative AI and Hyperautomation

Driving Change with Generative AI and Hyperautomation

  • February 28, 2024
The Rise of Conversational AI and Chatbots

The Rise of Conversational AI and Chatbots

  • February 23, 2024
Hyperautomation The Future of Business Automation

Hyperautomation The Future of Business Automation

  • February 19, 2024
The Rise of Cloud Computing

The Rise of Cloud Computing

  • February 14, 2024

“We’re an AI, Quality Engineering, Data and Cloud company”

  • contact@narwalinc.com
Linkedin Twitter Facebook Youtube

Quick Links

  • Home
  • About us
  • Our Services
  • Career
  • Insights
  • Contact

Services

  • AI
  • Quality Engineering
  • Data
  • Cloud

Headquarters

8845 Governors Hill Dr, Suite 201

Cincinnati, OH 45249

Other Offices

Cincinnati | Jacksonville | Indianapolis | London | Hyderabad | Bangalore | Pune

Narwal | © 2024 All rights reserved

  • Privacy Policy
  • Terms & Conditions

AI/ML

  • ML
  • Generative AI
  • Intelligent Automation

Automation

  • Transformation Services
  • Intelligent Automation
  • Technology Assurance
  • Business Assurance

Data

  • Data Engineering and Management
  • Data Science
  • Reporting and Analytics

Cloud

  • Cloud Migration
  • Cloud Modernization
  • Cloud Management