DevOps

As explained in Introduction to Generative AI, Second Edition

DevOps is a software-engineering practice that integrates development and operations to automate and improve software delivery and system management.

DevOps applies AI agents to software delivery and system management, especially continuous integration and continuous delivery (CI/CD). These agents can monitor systems, propose fixes, and support operational decisions, while human oversight remains important in production. section 8.6

AI agents can assist DevOps teams by:

• Monitoring systems and identifying operational problems. section 8.6
• Suggesting fixes for failing tests. section 8.6
• Rolling back deployments and triaging performance issues. section 8.6

Agent-assisted operational response

When tests fail or system performance degrades, an AI agent can suggest a correction, help investigate the problem, or roll back a deployment. People retain responsibility for final decisions, particularly in production. section 8.6

Figure 8.3 Workflow of an AI coding agent embedded in an IDE, from task planning to deployment

A workflow diagram can show how an AI coding agent moves from task planning through deployment, clarifying its relationship to DevOps activities. section 8.6

How Introduction to Generative AI, Second Edition covers it

How deep it goes

Describes operational tasks and human oversight but stops short of implementation details or a complete DevOps process.

Examples

Uses monitoring, failing-test fixes, deployment rollbacks, and performance triage as concrete examples.

What you can do after

Apply it via AI agents to monitor systems, address failures, roll back deployments, and triage performance issues under human oversight.

How it connects

Connects DevOps with AI agents, CI/CD, software engineering, testing, deployment, and system monitoring.

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Also explained in

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  Effective Platform EngineeringDevOps is a cultural and organizational approach that integrates software development and IT operations through shared responsibility for building, deploying, and operating software.
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  Automating API DeliveryDevOps is a software delivery approach that integrates development and operations through lean principles, automation, feedback, and continuous learning.
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  Think Like a Software Engineering ManagerDevOps is a set of practices that integrates software development and IT operations to deliver and operate software reliably through collaboration, automation, and continuous feedback.
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  AI for Everyday ITDevOps is a set of practices that integrates software development and IT operations through collaboration, automation, continuous delivery, and shared responsibility.
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  LLMs in ProductionDevOps is the set of practices that integrates software development and IT operations to automate and improve software delivery and operation.

Compare how 7 books explain DevOps →

Related concepts

• deployment pipelineincludes · A sequence of automated or manual stages that builds, tests or validates, packages, and delivers software or models toward deployment.
• GenAIOpsused by · GenAIOps is the operational discipline of applying DevOps practices to develop, deploy, monitor, and maintain generative AI applications.
• APIOpsuses · APIOps is the practice of automating the governance, delivery, and operation of API products across their life cycle.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.