VLLM Observability

Nearly instant time to value for both set up and investigation

Autonomously find anomalies in your environment, without any explicit action or setup

Datadog offers wide coverage across any technology, with support provided by Datadog

Fortune 100 companies, spanning across a wide array of industries, trust Datadog

Monitor and Optimize vLLM Inference Performance in Real Time

Gain complete visibility into inference latency, token generation throughput, and time to first token (TTFT) with out-of-the-box dashboards for vLLM workloads
Quickly identify bottlenecks across GPUs, memory, and request queues to keep LLM applications fast under production load
Correlate serving metrics with end-to-end traces to understand how infrastructure performance impacts user experience and downstream workflows

Track GPU, CPU, memory, and cache utilization in real time to prevent over-provisioning and reduce unnecessary cloud spend
Rightsize infrastructure based on live usage patterns and token demand to balance performance and efficiency
Continuously uncover opportunities to improve cost-to-performance ratios across vLLM deployments without sacrificing reliability

Proactively monitor queue depth, preemptions, request backlogs, and other critical serving metrics with recommended preconfigured monitors
Automatically surface anomalies in latency, throughput, and resource consumption before they degrade response quality
Resolve performance disruptions early with actionable alerts and full-stack visibility into your inference pipeline

Get full visibility into every experiment run with automatic tracing that captures evaluation scores, latency, errors, and token usage
Resolve regressions faster by isolating low-scoring test cases and inspecting tool calls, retrieval steps, and intermediate outputs in the execution trace
Keep testing repeatable across teams with versioned datasets, experiment runs, and shared performance analysis in one place
Compare experiment outcomes alongside production telemetry and evaluation signals from the same platform