Top 3965 AI Tools for DevOps Engineers in 2026
DevOps and SRE engineers use AI to automate infrastructure management, predict incidents before they happen, optimize CI/CD pipelines, and resolve production issues faster. These tools bring intelligence to the operations workflow.
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Decod.tech Picks
The most popular tools for this role, ranked by media coverage and activity.
AI Tools by Role
Frequently Asked Questions
Popular AI tools for DevOps include Datadog and New Relic for AI-powered monitoring, PagerDuty for incident management, GitHub Copilot for IaC code, and various AIOps platforms for automation.
AI helps by detecting anomalies in real-time, correlating alerts to reduce noise, suggesting root causes based on historical patterns, and automating initial remediation steps.
Yes, AI tools can generate Terraform, Kubernetes manifests, Dockerfiles, and CI/CD configurations. Human review is essential for security and compliance in production environments.
AIOps (AI for IT Operations) uses machine learning to automate and improve IT operations. It helps with anomaly detection, event correlation, predictive analytics, and automated remediation.
