Autonomous Incident Response

When servers fail at 3AM,
Sentinel already fixed it.

A multi-agent AI system that reads your error logs, diagnoses root causes, writes the runbook, notifies your team, and files the JIRA ticket — all in under two seconds.

See It WorkMeet the Agents
sentinel · incident-response · live
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Orchestrator
Cookbook
Notifier
JIRA
The Problem

Infrastructure failures don't wait for business hours.

43min
avg time engineers waste finding root cause
1.28s
CrewOps mean time to diagnosis
3AM
when most production incidents occur
94.7%
of incidents match known patterns
The Virtual SRE Team

Six specialized agents.
One coordinated response.

Instead of one monolithic model trying to do everything, CrewOps is a factory line. Each agent has a single job and does it exceptionally well.

The Analyst
Log Reader
Scans thousands of log lines in milliseconds. Extracts root cause signals using semantic pattern matching and anomaly detection.
The Expert
Remediation Agent
Retrieves relevant fixes from an institutional knowledge base. Cross-references historical incidents to surface the most reliable remediation path.
The Manager
Orchestrator
Built on LangGraph. Routes tasks, manages agent state, and decides escalation paths — JIRA ticket vs Slack ping vs auto-remediation script.
The Scribe
Cookbook Agent
Auto-generates a human-readable runbook with step-by-step fix instructions, traceable citations, and rollback procedures.
The Herald
Notification Agent
Fires real Slack alerts with severity context. Knows which team is on-call and what details they actually need to act.
The Auditor
JIRA Agent
Creates properly structured JIRA incidents with severity tags, affected services, and evidence links. Zero manual data entry.
How It Works

From raw log to resolved ticket.

01

Ingest

Drop a .log or .json file. CrewOps chunks large files to stay within context windows — no truncation, no missed signals.

02

Analyze

Log Reader extracts anomalies, timestamps, and error clusters. Every finding is cited with line numbers for full traceability.

03

Remediate

Remediation Agent cross-references the institutional knowledge base and surfaces the fix with confidence score and rollback plan.

04

Dispatch

Orchestrator fans out to Cookbook, Notifier, and JIRA agents in parallel. All three complete before the engineer finishes their coffee.

Tech Stack

Built to be production-ready, not demo-ware.

Orchestration
LangGraph
Stateful, circular agent workflows with memory and conditional routing.
LLM Core
Claude 3.5 Sonnet
Best-in-class reasoning for complex log interpretation and multi-step planning.
Notifications
Slack API
Real alerts to the real on-call engineer. Not mock data — actual webhooks.
Incident Tracking
JIRA REST API
Creates properly structured tickets with severity, evidence, and affected services.
Knowledge Base
Vector Store
Semantic search over historical incidents for remediation recommendations.
Log Processing
Chunking Pipeline
Smart summarization prevents context window overflow on massive log files.
$ sentinel analyze production.log

The 3AM call that never
wakes you up.

Built in 24 hours. Designed for production. CrewOps is what SRE automation looks like when multi-agent AI gets serious.

Built by
CrewOps Hackathon Team · 2026