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Enterprise Survey Series: DevOps and Emerging Technologies

  • ID: 5004025
  • Report
  • November 2019
  • Region: Global
  • 133 Pages
  • Evans Data Corp
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This DevOps and Emerging Technologies report, the fourth volume in the Enterprise Survey Series, explores the intersection between DevOps and emerging technologies and the impact of the evolution of new technology in a devops environment. Through the DevOps lens, this report gives balance to both the perspectives of developers and IT managers working with these emerging technologies. The DevOps and Emerging Technologies report is an important asset for any organization looking to sell DevOps technologies, tools, and services to other companies, as well as for any organization that wants to automate its own processes through DevOps.

This report allows DevOps developers and IT managers to work in a DevOps environment to weigh in on their attitudes, behaviors, and perspectives of emerging technologies. Using actual survey data from over 250 developers and 250 IT managers, we present in-depth data and analysis to inform your DevOps decisions. All results are presented in aggregate and then broken out by developer or operator answers so you can see the overall result as well as how the views of the two groups differ.

Topics include AI and machine learning, blockchain, the Internet of Things, mobile, continuous integration, reality-virtuality continuum, demographics and organizational reporting structure, cloud dynamics, and DevOps, security and compliance, delivery, testing, development landscape, integrating process automation for legacy software, and high-performance computing.

About this Report

The Enterprise Survey Series is a new survey series in the stable of market research and explores technologies and methodologies that are important to enterprise IT and development. This report, the fourth volume in the series, focuses on DevOps and emerging technologies and is an important asset for any organization looking to sell DevOps technologies, tools, and services to other companies, as well as for any organization that wants to automate its own processes through DevOps. Along the way, organizations need to get a sense of the current DevOps landscape, how it relates to quickly evolving technologies and disciplines, and the challenges that these technical professionals face.
 
Why this report matters to DevOps tool vendors:

The practical applications of DevOps have helped push DevOps practices and philosophies into the limelight. Nevertheless, developers and IT professionals may perceive DevOps as being more appropriate for specific fields, and may also perceive challenges along the way. For this reason, it is important for tool and service providers to understand the frustrations that developers and operations professionals experience in their existing development, as well as the perceived challenges in using DevOps with emerging technologies, and address them. Ultimately, tools and service providers need to understand the behaviors and perceptions of developers and IT professionals, and particularly the differences between them, in order to gain a clearer understanding of their target market.

Why this report matters to professionals implementing DevOps within their own organizations:

DevOps initiatives are well underway in IT organizations throughout the world. Putting DevOps into practice within an organization requires a keen understanding of how developers and IT managers are already using DevOps, including how their DevOps-driven IT assets interact with emerging technologies, what frustrates technical team members about working with DevOps initiatives and emerging technologies, and how the intersection of DevOps and emerging technical disciplines may influence such common tasks as testing and managing application security. Furthermore, DevOps implementation requires an awareness of how technical staff members across a variety of different industries perceive the interaction of development and operations and its challenges.  

DevOps builds upon numerous technological advances and patterns of thought. Understanding developers’ and operations managers' perceptions and preferences can help organizations with budding DevOps strategies formulate the smoothest path to adoption. In order to create this path, organizations need to understand the behaviors and preferences that developers and IT professionals alike have at this intersection between development and operations, and how they may differ across the two groups. As with tools providers and other tech companies, organizations with nascent DevOps strategies also must understand the difficulties that exist in current development efforts and the perceived challenges of DevOps implementation.

Note: Product cover images may vary from those shown
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Overview

  • Objectives of the Survey
  • Survey Methodology
  • Research Design  
  • Relative Rankings
  • The Sample - Software Developers and IT Managers

 About this Report

  • Multi-Client Survey Series  
  • Custom Surveys
  • Targeted Analytics

Executive Summary

1. Demographics & Organizational Reporting Structure

  • Drivers for DevOps Initiatives
  • DevOps Drivers by Developers vs. IT Managers
  • Company Size
  • Company Size by Developers vs. IT Managers
  • Company Age
  • Company Age by Developers vs. IT Managers
  • Age
  • Age by Developers vs. IT Managers
  • Experience in Software Development
  • Experience in IT Management
  • Industry
  • Industry by Developers vs. IT Managers
  • Organizational Reporting Structure
  • Organizational Reporting Structure by Developers vs. IT Managers  
  • Dotted Line Structures  
  • Dotted Line Structures by Developers vs. IT Managers
  • Team Responsibilities within an Organization
  • Team Responsibilities within an Organization: IT Managers
  • Team Responsibilities within an Organization: Developers  
  • Individual Responsibilities for Typical Apps  
  • Individual Responsibilities by Developers vs. IT Managers  
  • Drivers for DevOps Approach
  • DevOps Approach Drivers by Developers vs. IT Managers

2. Cloud Dynamics and DevOps

  • Use of the Cloud
  • Use of the Cloud by Developers vs. IT Managers
  • Trust in Public Cloud Infrastructure  
  • Trust in Public Cloud Infrastructure by Developers vs. IT Managers
  • Departments Questioning Cloud Use
  • Departments Questioning Cloud Use by Developers vs. IT Managers
  • Preferred Management of Cloud Services  
  • Preferred Management of Cloud Services by Developers vs. IT Managers
  • Preferred Execution Model for Cloud
  • Preferred Execution Model for Cloud by Developers vs. IT Managers
  • Interaction between Development and IT/Ops
  • Interaction between Development and IT/Ops by Developers vs. IT Managers
  • Multi-Cloud Use
  • Multi-Cloud Use by Developers vs. IT Managers
  • Orchestration of Multi-Cloud Environments
  • Orchestration of Multi-Cloud Environments by Developers vs. IT Managers
  • Top Business Motivation for Cloud Selection
  • Top Business Motivation for Cloud Selection by Developers vs. IT Managers
  • Top Impediments to Cloud Migration
  • Top Impediments to Cloud Migration by Developers vs. IT Managers
  • AI & ML
  • Involvement in AI and Machine Learning  
  • Involvement in AI and Machine Learning by Developers vs. IT Managers  
  • Testing Retrained Models  
  • Testing Retrained Models by Developers vs. IT Managers
  • Training/Inference Product Lifecycle
  • Training/Inference Product Lifecycle by Developers vs. IT Managers
  • Use of Robotic Process Automation (RPA)
  • Use of Robotic Process Automation by Developers vs. IT Managers  

3. Reality-Virtuality Continuum

  • Enterprise Use of Augmented Reality
  • Enterprise Use of Augmented Reality by Developers vs. IT Managers
  • Enterprise Use of Mixed Reality
  • Enterprise Use of Mixed Reality by Developers vs. IT Managers
  • Enterprise Use of Virtual Reality
  • Enterprise Use of Virtual Reality by Developers vs. IT Managers  
  • Use of DevOps in AR, VR, and MR  
  • IT Managers: Use of DevOps in AR, VR, and MR
  • Developers: Use of DevOps in AR, VR, and MR  
  • Enterprise Use Cases for AR, VR, and MR
  • Enterprise Use Cases for AR, VR, and MR by Developers vs. IT Managers

4. Blockchain

  • Greatest Challenges to Blockchain Adoption
  • Greatest Challenges to Blockchain Adoption by Developers vs. IT Managers  
  • Most Useful Blockchain Use Cases
  • Most Useful Blockchain Use Cases by Developers vs. IT Managers
  • Influence DevOps Has on Ease of Implementing Blockchain
  • Influence of DevOps on Blockchain by Developers vs. IT Managers  
  • Use of Blockchain  
  • Use of Blockchain by Developers vs. IT Managers  
  • Most Influential Factor in Blockchain Selection
  • Influential Factors in Blockchain Selection by Developers vs. IT Managers
  • Blockchain Platforms in Use  
  • Blockchain Platforms in Use by Developers vs. IT Managers
  • Greatest Help in Blockchain

5. High-Performance Computing

  • Use of HPC Clusters or Supercomputers
  • Use of HPC Clusters by Developers vs. IT Managers
  • Kinds of HPC Systems Used
  • Kinds of HPC Systems Used by Developers vs. IT Managers
  • Use of DevOps in HPC Projects  
  • Use of DevOps in HPC Projects by Developers vs. IT Managers
  • Responsibility for Configuring HPC Systems  
  • Responsibility for Configuring HPC Systems by Developers vs. IT Managers  
  • Hardware Targeted in HPC Systems  
  • Hardware Targeted in HPC Systems by Developers vs. IT Managers
  • Concern with Overprovisioning Compute Resources  
  • Concern with Overprovisioning Compute by Developers vs. IT Managers  

6. Security and Compliance

  • Security Integration into the Development Process
  • Security Integration into Development Process by Developers vs. IT Managers
  • Regulatory Compliance Oversight  
  • Regulatory Compliance Oversight by Developers vs. IT Managers
  • Influence Data Regulation Compliance Has on Development
  • IT Managers: Influence Data Regulation Compliance has on Development
  • Developers: Influence Data Regulation Compliance has on Development  
  • DevOps’ Influence on Security Practices
  • DevOps’ Influence on Security Practices by Developers vs. IT Managers
  • DevOps’ Influence on Quality of Security  
  • DevOps’ Influence on Quality of Security by Developers vs. IT Managers  
  • Status of DevSecOps
  • Status of DevSecOps by Developers vs. IT Managers
  • Frequency of Performing Security Vulnerability Analysis  
  • IT Managers: Frequency of Performing Security Vulnerability Analysis  
  • Developers: Frequency of Performing Security Vulnerability Analysis
  • 5G’s Impact on Security
  • 5G’s Impact on Security by Developers vs. IT Managers
  • Addressing Security Challenges of 5G Rollouts  
  • Addressing Security Challenges of 5G Rollouts by Developers vs. IT Managers
  • Most Worrisome Aspects of Security
  • IT Managers: Most Worrisome Aspects of Security
  • Developers: Most Worrisome Aspects of Security
  • Impact of the General Data Protection Regulation
  • Impact of the General Data Protection Regulation by Developers vs. IT Managers

7. Mobile and IoT

  • Enterprise Mobile and IoT Development
  • Enterprise Mobile and IoT Development by Developers vs. IT Managers
  • DevOps Use in Mobile/IoT
  • DevOps Use in Mobile/IoT by Developers vs. IT Managers
  • Mobile/IoT Distribution Methods Used
  • Mobile/IoT Distribution Methods Used by Developers vs. IT Managers
  • Interest in MDM/EMM as Code
  • Interest in MDM/EMM as Code by Developers vs. IT Managers
  • Mobility Management Functions as Code
  • Mobility Management Functions as Code by Developers vs. IT Managers
  • Downtime for Mobile or IoT Deployments
  • Downtime for Mobile or IoT Deployments by Developers vs. IT Managers
  • Best Way of Testing IoT/Mobile Projects
  • Best Way of Testing IoT/Mobile Projects by Developers vs. IT Managers
  • DevOps’ Influence on Mobile Development
  • IT Managers: DevOps’ Influence on Mobile Development
  • Developers: DevOps’ Influence on Mobile Development

8. Continuous Integration, Delivery, and Testing

  • Use of Continuous Processes
  • Use of Continuous Processes by Developers vs. IT Managers1
  • Most Important Feature of Application Delivery Systems
  • Most Important Features of Application Delivery Systems by Developers vs. IT Managers
  • Development Models Used
  • Development Models Used by Developers vs. IT Managers
  • Most Important Characteristics of CI Tooling
  • Most Important Characteristics of CI Tooling by Developers vs. IT Managers
  • Preferred Tools for CI/CD
  • Preferred Tools for CI/CD by Developers vs. IT Managers
  • Involvement in Test/QA
  • Involvement in Test/QA by Developers vs. IT Managers
  • Approach to Testing Plans
  • Approach to Testing Plans by Developers vs. IT Managers
  • Minimum Test Coverage
  • Minimum Test Coverage by Developers vs. IT Managers
  • Continuous Testing as Part of DevOps
  • Continuous Testing as Part of DevOps by Developers vs. IT Managers
  • Important Factors in DevOps Test Tool Selection
  • Important Factors in DevOps Test Tool Selection by Developers vs. IT Managers
  • Biggest Challenges in Automated Testing
  • Biggest Challenges in Automated Testing by Developers vs. IT Managers
  • Most Difficult Testing for CI/CD
  • Most Difficult Testing for CI/CD by Developers vs. IT Managers
Note: Product cover images may vary from those shown
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