1:1 mentoring with Big Tech AI engineers
Back
Infra · AI System Designstaff

AI On-Call / Incident-Response (AIOps) Agent

Components

Drag onto the canvas, or click to add.Tap to add to the canvas.

Utilities

Text Box
Group / Container
Circle
Diamond
Divider Line
Heading

Recommended

Client / User
Agent Loop
LLM / Model
Tool / Function
Database / State
Observability / Tracing
Human-in-the-Loop

Entry & gateway

Client / User
LLM Gateway
API Gateway

Orchestration

Orchestrator / Planner
Agent / Worker
Agent Loop

Models

LLM / Model
Model Router
Embedding Model
STT / TTS

Retrieval / RAG

Retriever
Reranker
Vector Store
Knowledge Source

Tools & execution

Tool / Function
MCP Server
Code Sandbox
Browser / Computer Env
External API

Memory & state

Working Memory
Long-Term Memory
Cache (semantic/prompt)

Safety & eval

Guardrail / Classifier
PII Filter / Redactor
Eval / Judge
Observability / Tracing

Infra & data

Database / State
Queue / Event Bus

Human

Human-in-the-Loop
Mini Map

Drag or click a component on the leftTap Components to add your first piece

connect · iterate · submit for review

// brief

AI On-Call / Incident-Response (AIOps) Agent

Design an agent that responds to alerts: investigates, finds root cause, and proposes or executes remediation — without making things worse.

Key Requirements

  • 01Gather context across logs/metrics/traces/deploys (read broadly)
  • 02Evidence-grounded root-cause reasoning (no hallucinated RCA)
  • 03Autonomy gated by blast radius + reversibility; human approval for risky
  • 04Alert correlation/dedup; circuit breaker on the agent itself
  • 05Runbook flywheel; degraded-mode operation (self-dependency)

Rubric must-haves

0/3
  • Reads telemetry via tools/observability
  • Has a human approval gate for risky actions
  • Has remediation tools (gated)

These checks are the structure score, 30% of your total. They update as you draw.


Practise it like the real round

60-minute timer paced through requirements, design and deep dive. The follow-up questions stay hidden until the last phase, and solution hints are off.

AI Review

0/5

Review me as:

Build your design, then submit for an AI-powered review with dimension scores, strengths, gaps, and actionable suggestions.


Try designing your solution first before viewing hints.


Comments (0)

Sign in to leave a comment

Loading comments...