Multi-Agent System for IT Operations Automation
An end-to-end multi-agent architecture that autonomously triages, analyzes, and resolves IT operations incidents with human-in-the-loop guardrails and observability.
Multi-AgentOrchestrationOps
Data Flow
1 Event sources 2 Ingestion layer 3 Supervisor agent 4 Specialist agents 5 Actions
Component Layers
Sources
Alerts (PagerDuty)Tickets (ServiceNow)Metrics (Prometheus)Logs (CloudWatch)
Ingestion Layer
Event CollectorStream (Kafka)
Orchestration Layer
Supervisor AgentRouting AgentPlanning AgentMemory Agent
Specialist Agents
Incident Triage AgentRoot Cause Analysis AgentResolution AgentKnowledge Agent
Actions
Create TicketRunbook ExecutionNotificationsAuto Remediation
Memory & Knowledge
Vector DB (Pinecone)Knowledge Base (S3)Conversation Memory (Redis)
Observability
TracingMetricsLogs
Implementation Notes
Supervisor routes events to specialist agents; every action passes policy checks, and risky remediations require human approval. State is checkpointed so long-running incidents are resumable.