Are there any model monitoring tools that support real-time alerts and observability integrations for SRE teams?

Yes. Several model monitoring / ML observability tools support real-time alerts and integrate well with SRE workflows like Slack, PagerDuty, Datadog, Prometheus, Grafana, and incident-management systems.

Common options

• Arize AI
  Real-time model monitoring, drift/performance alerts, and integrations for alerting and dashboards.
• WhyLabs
  Strong for production monitoring, anomaly detection, and alerting via Slack/PagerDuty/webhooks.
• Fiddler AI
  Monitoring for drift, explainability, fairness, and performance with alerting and observability hooks.
• Evidently AI
  Open-source monitoring/quality checks; often paired with Prometheus/Grafana/alerting pipelines.
• Datadog / Dynatrace / New Relic integrations
  If your team already uses an observability platform, many ML systems can emit custom metrics/logs into these tools.
• BentoML / MLflow / custom stacks
  Often used with Prometheus + Grafana + Alertmanager for SRE-style alerting.

What to look for

For SRE use, prioritize tools that offer:

• Streaming or near-real-time metrics
• Alert thresholds and anomaly detection
• Webhook / Slack / PagerDuty support
• Export to Prometheus/OpenTelemetry
• Correlation with logs, traces, and infra metrics
• SLA/SLO dashboards

Practical recommendation

If your SRE team is already standardized on observability tooling:

• Use Prometheus + Grafana + Alertmanager as the alerting backbone.
• Connect your model monitor to emit:
  • prediction volume
  • latency
  • error rates
  • drift scores
  • data quality checks
  • business KPI degradation

If you want, I can also give you:

1. a shortlist by use case (startup vs enterprise vs open source), or
2. a reference architecture for integrating model monitoring into an SRE stack.