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How Drizzle AI Systems Integrates with The O11y Stack

With Drizzle, observability isn’t an afterthought—it’s a core component of your AI platform from day one. We deploy a comprehensive, production-ready observability stack based on the open-source standards of OpenTelemetry, Prometheus, and Grafana. This provides a powerful, unified view of your entire system, from low-level hardware metrics to high-level LLM performance and costs.

Key Features of the Integration

  • Standardized Telemetry Collection: We use OpenTelemetry as the unified standard to generate and collect telemetry data—metrics, logs, and traces—from your AI applications and infrastructure, ensuring vendor-neutrality and comprehensive coverage.
  • Robust Metrics & Alerting: The stack includes a full Prometheus deployment for powerful, real-time metrics collection and alerting. This allows you to monitor system health and set up alerts for critical performance thresholds.
  • Powerful Visualization with Grafana: We provide pre-configured Grafana dashboards for immediate insight. These dashboards visualize key metrics for LLM serving, such as tokens per second, time to first token, prompt throughput, and GPU utilization.
  • Centralized Log Aggregation: To complete the picture, we integrate Grafana Loki for efficient, centralized log aggregation, allowing your team to easily debug issues by correlating logs with metrics and traces in a single interface.

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Prometheus-Grafana Stack

Observability

Gain deep insights into your AI platform's performance and cost with Drizzle's integrated implementation of the O11y Stack.

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