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Case Study: Cisco Systems Accelerates the Delivery of an Internet of Things

Introduction

This case study of Cisco Systems, Inc. is based on a May 2014 survey of ElectricAccelerator customers by TechValidate, a 3rd-party research service.

“ElectricFlow provides us a framework to easily configure an automatic platform to build and test.”

Challenges

  • Purchased ElectricAccelerator to address the following challenges:
    • Poor utilization of IT infrastructure
    • Long delays between product releases
    • Lack of reporting and visibility into the software build process
    • Continuous Integration

Use Case

  • Creates the following types of software:
    • Software designed to run on a server (Web/IT)
  • Uses ElectricAccelerator for the following:
    • Build acceleration
    • Test acceleration
    • Static analysis
  • The following ElectricAccelerator capabilities were strong factors in purchasing ElectricAccelerator:
    • Build acceleration
    • Build parallelization
    • Test acceleration
    • The ability to more efficiently use shared pools of infrastructure
    • Build visualization and optimization
    • Build acceleration for many simultaneous builds from multiple teams
    • The enterprise support model

Results

  • Realized the following benefits with ElectricAccelerator:
    • Faster time to market for software products
    • Higher quality software products
    • Reduced cost of software delivery
    • Happier developers
    • Improved developer productivity
    • Improved IT infrastructure utilization
    • Insight into the software build process
  • The following groups benefit from the use of ElectricAccelerator:
    • Software engineering teams
    • Build engineering teams
    • QA engineering teams
    • Release engineering teams
  • Their builds are 2x-4x faster with ElectricAccelerator.




About This Data

This data was sourced directly from verified users of Electric Cloud by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.


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