Agentic infrastructure represents the shift from static scripts and declarative manifests to dynamic, AI-driven operations.
Step 1 — From Automation to Autonomy
Traditional automation requires explicit rules. AI agents leverage LLMs to interpret intent, write Terraform, and debug live systems.
agent-policy.yamlyaml
agent:
name: k8s-healer
capabilities:
- read-logs
- restart-pods
- scale-deployments
guardrails:
maxSpend: $50/day
requireApprovalFor: database-dropStep 2 — Auto-Remediation Workflow
When a PagerDuty alert fires, an agent can automatically parse the alert, query logs, identify the root cause, and propose a fix.
Agent Capabilities
- Log Analysis: Summarizing gigabytes of logs into a root-cause hypothesis.
- Self-Healing: Applying non-destructive fixes like restarting deadlocked pods.
- Cost Optimization: Identifying and terminating idle resources autonomously.