VLLM Observability & Monitoring

Ensure Fast, Reliable Responses to Prompts

Visualize critical performance metrics like end-to-end request latency, token generation throughput, and time to first token (TTFT) with an intuitive OOTB dashboard
Identify and resolve infrastructure issues or resource constraints to ensure your LLM application remains fast and reliable, even under heavy load
Adjust resource allocation to meet demand and keep your LLMs performing at their best with end-to-end visibility

Optimize Resource Usage and Reduce Cloud Costs

Prevent over-provisioning by monitoring key LLM serving metrics like GPU/CPU utilization and cache usage
Reduce idle cloud spend while ensuring LLM workloads maintain high performance by tracking real-time resource consumption
Balance performance and cost-efficiency by rightsizing infrastructure and avoiding unnecessary scaling events

Detect and Address Critical Issues Before They Impact Production

Detect issues early by proactively monitoring key LLM application performance metrics with preconfigured Recommended Monitors
Prevent delays or interruptions by tracking metrics like queue size, preemptions, and requests waiting in real time
Resolve potential problems before they impact performance with actionable alerts on predefined thresholds