Mike Vizard introduces Pulumi Neo, highlighting how these AI agents can autonomously manage and optimize IT infrastructure on the Pulumi IaC platform, boosting DevOps efficiency and compliance.

Pulumi Unveils AI Agents for Autonomous Infrastructure Automation

Author: Mike Vizard

Pulumi has announced the preview release of Pulumi Neo, an expansion of its Infrastructure-as-Code (IaC) platform that introduces a team of AI agents to help automate and optimize infrastructure management.

Key Features of Pulumi Neo

AI Agents Trained on Infrastructure Data: Pulumi Neo’s agents are built to diagnose issues, execute infrastructure changes, monitor results, and maintain compliance across the full lifecycle of cloud and on-premises resources.
Autonomous Task Execution: The agents can operate autonomously—subject to permissions—automating routine or complex infrastructure tasks, and providing interactive guidance and approval workflows tailored to organizational policy.
Auditable Operations: Pulumi Neo documents all actions performed, supporting compliance requirements and offering full historical traceability for regulatory and security purposes.
DevOps Integration: Positioned as digital members of the DevOps or platform engineering team, the agents assist with provisioning, optimization, and compliance enforcement.
Agentic Workflows: Integration with Pulumi’s Model Context Protocol (MCP) server enables other AI coding tools to invoke Neo for building AI-driven workflows that align with best DevOps practices.

Use Cases and Benefits

Infrastructure Automation: Neo can optimize environments and even recommend migration of workloads (e.g., from Kubernetes to AWS ECS) based on detected patterns.
Productivity and Compliance: Early users, such as Werner Enterprises, have reported significant reductions in provisioning times and improvements in shipping features, while maintaining compliance (e.g., SOC 2).
DevSecOps Considerations: Automation includes oversight to prevent common misconfigurations and reinforce secure and compliant DevOps processes.

Team Empowerment and Limitations

DevOps teams remain in control, choosing between suggestion-only and autonomous execution modes. Neo supports both temporary and continuous automation based on trust and approval levels.
Tasks performed by the agents can be reversed as needed—guarding against adverse outcomes from automated changes.

Outlook

Although full adoption of AI-powered automation in platform engineering is still in early stages, Pulumi Neo’s capabilities illustrate a practical pathway toward reducing manual toil, improving compliance, and addressing security postures as organizations scale their cloud and infrastructure operations.

For more details: Read the full article on DevOps.com

This post appeared first on “DevOps Blog”. Read the entire article here