diff --git a/pkg/log/log.go b/pkg/log/log.go
index cb2c1421d7..5466ccd998 100644
--- a/pkg/log/log.go
+++ b/pkg/log/log.go
@@ -95,6 +95,7 @@ func Init(cfg Config) error {
 	// NOTE: we add a level of indirection with our logging functions,
 	//       so we need additional caller depth
 	logger = log.With(l, "ts", timestampFormat, "caller", log.Caller(4))
+	traceRequestEnabled = isTraceRequestEnabled()
 	return nil
 }
 
@@ -205,3 +206,28 @@ func WarnRateLimited(keyvals ...interface{}) {
 func DebugRateLimited(keyvals ...interface{}) {
 	rateLimit(debug, keyvals...)
 }
+
+var traceRequestEnabled bool
+
+func isTraceRequestEnabled() bool {
+	value := os.Getenv("PROMSCALE_TRACE_REQUEST")
+	if value == "" {
+		return false
+	}
+	enabled, err := strconv.ParseBool(value)
+	if err != nil || !enabled {
+		//assume off
+		return false
+	}
+	return true
+}
+
+func TraceRequestEnabled() bool {
+	return traceRequestEnabled
+}
+
+func TraceRequest(keyvals ...interface{}) {
+	if TraceRequestEnabled() {
+		Debug(keyvals...)
+	}
+}
diff --git a/pkg/pgmodel/ingestor/dispatcher.go b/pkg/pgmodel/ingestor/dispatcher.go
index b3d95a3551..74c38472eb 100644
--- a/pkg/pgmodel/ingestor/dispatcher.go
+++ b/pkg/pgmodel/ingestor/dispatcher.go
@@ -21,6 +21,7 @@ import (
 	"github.com/timescale/promscale/pkg/pgmodel/metrics"
 	"github.com/timescale/promscale/pkg/pgmodel/model"
 	"github.com/timescale/promscale/pkg/pgxconn"
+	"github.com/timescale/promscale/pkg/psctx"
 	"github.com/timescale/promscale/pkg/tracer"
 	tput "github.com/timescale/promscale/pkg/util/throughput"
 )
@@ -245,6 +246,16 @@ func (p *pgxDispatcher) InsertTs(ctx context.Context, dataTS model.Data) (uint64
 		}
 		p.getMetricBatcher(metricName) <- &insertDataRequest{requestCtx: ctx, spanCtx: span.SpanContext(), metric: metricName, data: data, finished: workFinished, batched: batched, errChan: errChan}
 	}
+
+	var startTime time.Time
+	if log.TraceRequestEnabled() {
+		t, err := psctx.StartTime(ctx)
+		if err != nil {
+			log.TraceRequest("component", "dispatcher", "err", err)
+		}
+		startTime = t
+		log.TraceRequest("component", "dispatcher", "event", "start", "metrics", len(rows), "samples", numRows, "start_time", startTime.UnixNano())
+	}
 	span.SetAttributes(attribute.Int64("num_rows", int64(numRows)))
 	span.SetAttributes(attribute.Int("num_metrics", len(rows)))
 	reportIncomingBatch(numRows)
@@ -261,6 +272,7 @@ func (p *pgxDispatcher) InsertTs(ctx context.Context, dataTS model.Data) (uint64
 		case err = <-errChan:
 		default:
 		}
+		log.TraceRequest("component", "dispatcher", "event", "ack", "start_time", startTime.UnixNano(), "took", time.Since(startTime))
 		reportMetricsTelemetry(maxt, numRows, 0)
 		close(errChan)
 	} else {
@@ -275,6 +287,7 @@ func (p *pgxDispatcher) InsertTs(ctx context.Context, dataTS model.Data) (uint64
 			if err != nil {
 				log.Error("msg", fmt.Sprintf("error on async send, dropping %d datapoints", numRows), "err", err)
 			}
+			log.TraceRequest("component", "dispatcher", "event", "async_ack", "start_time", startTime.UnixNano(), "took", time.Since(startTime))
 			reportMetricsTelemetry(maxt, numRows, 0)
 		}()
 	}
diff --git a/pkg/pgmodel/ingestor/reservation.go b/pkg/pgmodel/ingestor/reservation.go
index a6a12c423a..5d1f769037 100644
--- a/pkg/pgmodel/ingestor/reservation.go
+++ b/pkg/pgmodel/ingestor/reservation.go
@@ -5,6 +5,8 @@ import (
 	"sync"
 	"sync/atomic"
 	"time"
+
+	"github.com/timescale/promscale/pkg/log"
 )
 
 type reservation struct {
@@ -163,6 +165,7 @@ func (rq *ReservationQueue) Peek() (time.Time, bool) {
 		case <-waitch:
 		case <-time.After(250 * time.Millisecond):
 		}
+		log.TraceRequest("component", "reservation", "event", "peek", "batched_metrics", rq.q.Len(), "waited", waited, "took", time.Since((*rq.q)[0].GetStartTime()))
 	}
 	return reservation.GetStartTime(), ok
 }
@@ -213,6 +216,7 @@ func (rq *ReservationQueue) PopOntoBatch(batch []readRequest) ([]readRequest, in
 	} else if !(len(batch) == 0 || items+total_items < 20000) {
 		reason = "size_samples"
 	}
+	log.TraceRequest("component", "reservation", "event", "pop", "reason", reason, "metrics", count, "items", total_items, "remaining_metrics", rq.q.Len())
 	return batch, count, reason
 }