Gartner Research

Augment Decision Making in DevOps Using AI Techniques

Published: 04 June 2019

ID: G00383246

Analyst(s): Charley Rich , Manjunath Bhat

Summary

The growing need for organizations to analyze vast volumes of data in enabling rapid application delivery makes manual decision making a key bottleneck in DevOps. I&O leaders must leverage AI techniques to make data-driven decisions and automate actions to ensure business agility and stability.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Decrease Time to Feedback by Implementing a Continuous Feedback Loop Using AIOps Platforms
  • Drive Continuous Improvement in Application Deployment by Using Predictive Analytics
    • Cloud Capacity Planning and Cost Optimization
  • Revise Monitoring Strategies by Integrating AIOps Platforms as Part of the DevOps Toolchain
    • Build Autonomous Systems by Augmenting the Decision Function
    • Correlate Insights From White-Box and Black-Box Analytics Using AIOps Platforms
  • Enhance Operational Support by Using AI-Enabled Incident Management Systems

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