What platform should I use for incident detection in an AI app?

If you mean detecting incidents like failures, latency spikes, bad outputs, policy violations, or service degradation in an AI app, the best platform depends on what kind of AI system you have and what you already use for observability.

Good options by scenario

1) Best all-around for production AI apps

Datadog

• Strong for infra + app monitoring in one place
• Good alerting, dashboards, logs, traces
• Useful if your AI app already runs on cloud/Kubernetes
• Can correlate model/API issues with backend incidents

2) Best for open-source / self-hosted observability

Grafana stack

• Prometheus + Grafana + Loki + Tempo
• Very flexible and cost-effective
• Great if you want full control
• More setup/maintenance than managed tools

3) Best if you need LLM-specific monitoring

Arize AI, LangSmith, or WhyLabs

• Track prompt/response quality, drift, hallucinations, regressions
• Useful for:
  • LLM app evaluation
  • Prompt versioning
  • Production traces
  • Model behavior monitoring
• Often better than generic APM for AI-specific incidents

4) Best for cloud-native incident detection

• AWS CloudWatch if on AWS
• Azure Monitor if on Azure
• Google Cloud Operations Suite if on GCP
• Convenient if you want native integration, but less specialized for LLMs

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What I’d recommend

• If you’re building a traditional AI app or API service: Datadog
• If you’re building an LLM app with prompt/response monitoring: LangSmith or Arize AI
• If you want full control and lower cost: Grafana stack

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Important features to look for

Choose a platform that supports:

• Real-time alerts
• Traces/logs/metrics correlation
• LLM prompt and response capture
• Quality and drift detection
• PII redaction
• Role-based access control
• Incident routing to Slack/PagerDuty/Opsgenie

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Simple rule

• Infrastructure incidents → Datadog / Cloud provider monitoring
• Model behavior incidents → Arize / LangSmith / WhyLabs
• Both → Use one infra tool + one AI-specific tool

If you tell me:

1. whether your app uses an LLM,
2. your cloud provider,
3. your budget, I can recommend a specific platform stack.