[Metrics] Add number of ready pods metric for inference pool

pkg/epp/backend/metrics/logger.go

@@ -110,4 +110,5 @@ func flushPrometheusMetricsOnce(logger logr.Logger, datastore Datastore) {
 	podTotalCount := len(podMetrics)
 	metrics.RecordInferencePoolAvgKVCache(pool.Name, kvCacheTotal/float64(podTotalCount))
 	metrics.RecordInferencePoolAvgQueueSize(pool.Name, float64(queueTotal/podTotalCount))
+	metrics.RecordinferencePoolReadyPods(pool.Name, float64(podTotalCount))
 }

pkg/epp/metrics/metrics.go

@@ -151,6 +151,16 @@ var (
 		},
 		[]string{"name"},
 	)
+
+	inferencePoolReadyPods = compbasemetrics.NewGaugeVec(
+		&compbasemetrics.GaugeOpts{
+			Subsystem:      InferencePoolComponent,
+			Name:           "ready_pods",
+			Help:           "The number of ready pods in the inference server pool.",
+			StabilityLevel: compbasemetrics.ALPHA,
+		},
+		[]string{"name"},
+	)
 )
 
 var registerMetrics sync.Once
@@ -169,6 +179,7 @@ func Register() {
 
 		legacyregistry.MustRegister(inferencePoolAvgKVCache)
 		legacyregistry.MustRegister(inferencePoolAvgQueueSize)
+		legacyregistry.MustRegister(inferencePoolReadyPods)
 	})
 }
 
@@ -241,3 +252,7 @@ func RecordInferencePoolAvgKVCache(name string, utilization float64) {
 func RecordInferencePoolAvgQueueSize(name string, queueSize float64) {
 	inferencePoolAvgQueueSize.WithLabelValues(name).Set(queueSize)
 }
+
+func RecordinferencePoolReadyPods(name string, runningPods float64) {
+	inferencePoolReadyPods.WithLabelValues(name).Set(runningPods)
+}

site-src/guides/metrics.md

@@ -33,6 +33,7 @@ curl -i ${IP}:${PORT}/v1/completions -H 'Content-Type: application/json' -d '{
 | inference_model_running_requests                | Gauge     | Number of running requests for each model.             | `model_name`=<model-name>  | ALPHA       |
 | inference_pool_average_kv_cache_utilization  | Gauge            | The average kv cache utilization for an inference server pool.    | `name`=<inference-pool-name>                                                 | ALPHA       |
 | inference_pool_average_queue_size            | Gauge            | The average number of requests pending in the model server queue. | `name`=<inference-pool-name>                                                 | ALPHA       |
+| inference_pool_ready_pods                    | Gauge            | The number of ready pods for an inference server pool.            | `name`=<inference-pool-name>                                                 | ALPHA       |
 
 ## Scrape Metrics
 

test/integration/epp/hermetic_test.go

@@ -430,7 +430,13 @@ func TestFullDuplexStreamed_KubeInferenceModelRequest(t *testing.T) {
 					# HELP inference_model_request_total [ALPHA] Counter of inference model requests broken out for each model and target model.
 					# TYPE inference_model_request_total counter
 					inference_model_request_total{model_name="my-model",target_model_name="my-model-12345"} 1
-					`},
+					`,
+				`inference_pool_ready_pods`: `
+					# HELP inference_pool_ready_pods [ALPHA] The number of ready pods in the inference server pool.
+					# TYPE inference_pool_ready_pods gauge
+					inference_pool_ready_pods{name="vllm-llama3-8b-instruct-pool"} 3
+					`,
+			},
 			wantErr: false,
 			wantResponses: []*extProcPb.ProcessingResponse{
 				{
@@ -1465,6 +1471,11 @@ func TestFullDuplexStreamed_KubeInferenceModelRequest(t *testing.T) {
 					},
 				},
 			},
+			wantMetrics: map[string]string{`inference_pool_ready_pods`: `
+				# HELP inference_pool_ready_pods [ALPHA] The number of ready pods in the inference server pool.
+				# TYPE inference_pool_ready_pods gauge
+				inference_pool_ready_pods{name="vllm-llama3-8b-instruct-pool"} 1
+				`},
 		},
 	}