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From DevOps to AI-ops: How Artificial Intelligence is Transforming Deployment and Monitoring

Mabrouk Mahdhi
6 min readSep 1, 2023

In the past decade, DevOps has become a household term in the software engineering world. The practice emphasizes collaboration between software developers and IT operations with the objective to automate the process of software delivery and infrastructure changes. However, as our systems grow increasingly complex, we find ourselves asking: can we do better? Enter AI-ops, the next evolutionary step, which leverages Artificial Intelligence (AI) to improve upon traditional DevOps practices.

In this blog post, we will delve into how AI is fundamentally transforming DevOps into AI-ops, particularly focusing on deployment and monitoring aspects.

The DevOps Landscape: A Quick Recap

DevOps practices have been revolutionary, making it easier to manage and deploy applications at scale. Using DevOps, companies are now able to:

  • Facilitate continuous integration and continuous delivery (CI/CD).
  • Implement infrastructure as code.
  • Use configuration management tools for automation.
  • Monitor system and application health effectively.

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Mabrouk Mahdhi
Mabrouk Mahdhi

Written by Mabrouk Mahdhi

Founder @ CodeCampsis, Microsoft MVP

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