diff --git a/stress/Cargo.toml b/stress/Cargo.toml
index 90bb6e2889..bb414a02a5 100644
--- a/stress/Cargo.toml
+++ b/stress/Cargo.toml
@@ -19,6 +19,11 @@ name = "metrics_histogram"
 path = "src/metrics_histogram.rs"
 doc = false
 
+[[bin]] # Bin to run measure latency in various conditions
+name = "metrics_latency"
+path = "src/metrics_latency.rs"
+doc = false
+
 [[bin]] # Bin to run the metrics overflow stress tests
 name = "metrics_overflow"
 path = "src/metrics_overflow.rs"
diff --git a/stress/src/metrics_latency.rs b/stress/src/metrics_latency.rs
new file mode 100644
index 0000000000..8f75a1f425
--- /dev/null
+++ b/stress/src/metrics_latency.rs
@@ -0,0 +1,300 @@
+use std::{
+    collections::{BTreeMap, HashMap},
+    sync::{
+        atomic::{AtomicBool, AtomicU64, Ordering},
+        Arc, Mutex, Weak,
+    },
+    time::{Duration, Instant},
+};
+
+use opentelemetry::{metrics::MeterProvider, KeyValue};
+use opentelemetry_sdk::{
+    metrics::{
+        data::{self, ResourceMetrics},
+        reader::MetricReader,
+        InstrumentKind, ManualReader, MetricError, Pipeline, SdkMeterProvider, Temporality,
+    },
+    Resource,
+};
+
+// copy/paste from opentelemetry-sdk/benches/metric.rs
+#[derive(Clone, Debug)]
+pub struct SharedReader(Arc<dyn MetricReader>);
+
+impl SharedReader {
+    pub fn new<R>(reader: R) -> Self
+    where
+        R: MetricReader,
+    {
+        Self(Arc::new(reader))
+    }
+}
+
+impl MetricReader for SharedReader {
+    fn register_pipeline(&self, pipeline: Weak<Pipeline>) {
+        self.0.register_pipeline(pipeline)
+    }
+
+    fn collect(&self, rm: &mut ResourceMetrics) -> Result<(), MetricError> {
+        self.0.collect(rm)
+    }
+
+    fn force_flush(&self) -> Result<(), MetricError> {
+        self.0.force_flush()
+    }
+
+    fn shutdown(&self) -> Result<(), MetricError> {
+        self.0.shutdown()
+    }
+
+    fn temporality(&self, kind: InstrumentKind) -> Temporality {
+        self.0.temporality(kind)
+    }
+}
+
+fn main() {
+    let available_threads: usize = std::thread::available_parallelism().map_or(1, |p| p.get());
+
+    for threads_count in [available_threads / 3, available_threads * 3] {
+        println!("*** updates, using {threads_count} threads ***");
+        measure_update_latency(&format!("no attribs"), threads_count, |_i, _j| []);
+        measure_update_latency(&format!("1 attrib"), threads_count, |_i, _j| {
+            [KeyValue::new("some_key", 1)]
+        });
+
+        measure_update_latency(&format!("9 attribs"), threads_count, |_i, _j| {
+            // for http.server.request.duration as defined in https://opentelemetry.io/docs/specs/semconv/http/http-metrics/
+            [
+                KeyValue::new("http.request.method", "GET"),
+                KeyValue::new("url.scheme", "not_found"),
+                KeyValue::new("error.type", 404),
+                KeyValue::new("http.response.status_code", 404),
+                KeyValue::new("http.route", "testing/metrics/latency"),
+                KeyValue::new("network.protocol.name", "http"),
+                KeyValue::new("network.protocol.version", 2),
+                KeyValue::new("server.address", "example.com"),
+                KeyValue::new("server.port", 8080),
+            ]
+        });
+        println!("*** inserts, using {threads_count} threads ***");
+        measure_update_latency(&format!("1 attrib"), threads_count, |i, j| {
+            [KeyValue::new(format!("some_key{i}"), j as i64)]
+        });
+
+        measure_update_latency(&format!("10 attribs"), threads_count, |i, j| {
+            [
+                KeyValue::new(format!("random{i}"), j as i64),
+                KeyValue::new("http.request.method", "GET"),
+                KeyValue::new("url.scheme", "not_found"),
+                KeyValue::new("error.type", 404),
+                KeyValue::new("http.response.status_code", 404),
+                KeyValue::new("http.route", "testing/metrics/latency"),
+                KeyValue::new("network.protocol.name", "http"),
+                KeyValue::new("network.protocol.version", 2),
+                KeyValue::new("server.address", "example.com"),
+                KeyValue::new("server.port", 8080),
+            ]
+        });
+        println!("*** mix mostly updates (200 attribute-sets), using {threads_count} threads ***");
+        measure_update_latency(&format!("10 attribs"), threads_count, |_i, j| {
+            [
+                KeyValue::new("random", (j % 200) as i64),
+                KeyValue::new("http.request.method", "GET"),
+                KeyValue::new("url.scheme", "not_found"),
+                KeyValue::new("error.type", 404),
+                KeyValue::new("http.response.status_code", 404),
+                KeyValue::new("http.route", "testing/metrics/latency"),
+                KeyValue::new("network.protocol.name", "http"),
+                KeyValue::new("network.protocol.version", 2),
+                KeyValue::new("server.address", "example.com"),
+                KeyValue::new("server.port", 8080),
+            ]
+        });
+    }
+}
+
+fn measure_update_latency<const N: usize>(
+    msg: &str,
+    threads_count: usize,
+    attribs: fn(usize, u64) -> [KeyValue; N],
+) {
+    let reader = SharedReader::new(
+        ManualReader::builder()
+            .with_temporality(Temporality::Delta)
+            .build(),
+    );
+    let provider = SdkMeterProvider::builder()
+        .with_reader(reader.clone())
+        .build();
+    let histogram = provider.meter("test").u64_counter("hello").build();
+    let mut threads = Vec::new();
+    let mut stats = Vec::new();
+    stats.resize_with(threads_count, || {
+        Arc::new(Mutex::new(HashMap::<u64, u64>::new()))
+    });
+    let total_iterations = Arc::new(AtomicU64::new(0));
+    let iterate_flag = Arc::new(AtomicBool::new(true));
+    let start = Instant::now();
+    // run multiple threads and measure how time it takes to update metric
+    for thread_idx in 0..threads_count {
+        let hist = histogram.clone();
+        let stat = stats[thread_idx].clone();
+        let iterate_flag = iterate_flag.clone();
+        let total_iterations = total_iterations.clone();
+        threads.push(std::thread::spawn(move || {
+            let mut stat = stat.lock().unwrap();
+            let mut iter_idx = 0;
+            while iterate_flag.load(Ordering::Acquire) {
+                let kv = attribs(thread_idx, iter_idx);
+                let start = Instant::now();
+                hist.add(1, &kv);
+                let curr = stat.entry(start.elapsed().as_nanos() as u64).or_default();
+                *curr += 1;
+                iter_idx += 1;
+            }
+            total_iterations.fetch_add(iter_idx, Ordering::AcqRel);
+        }));
+    }
+    let mut total_count = 0;
+    while start.elapsed() < Duration::from_secs(1) {
+        // we should collect frequently enough, so that inserts doesn't reach overflow (2000)
+        // but not too frequently, so that it will be visible in p99 (have effect on +1% of measurements)
+        // with 0.3ms sleep, collect will be called around 1900-2500 times (depending on load)
+        // so we might get around ~2M/s inserts, until they start overflow
+        // and it's low enough so it shouldn't influence 1% of updates (p99).
+        std::thread::sleep(Duration::from_micros(300));
+        total_count += collect_and_return_count(&reader);
+    }
+    iterate_flag.store(false, Ordering::Release);
+    threads.into_iter().for_each(|t| {
+        t.join().unwrap();
+    });
+    total_count += collect_and_return_count(&reader);
+
+    let total_measurements = total_iterations.load(Ordering::Acquire);
+    assert_eq!(total_count, total_measurements);
+
+    let stats = stats
+        .into_iter()
+        .map(|s| Arc::into_inner(s).unwrap().into_inner().unwrap())
+        .flat_map(|s| s.into_iter())
+        .fold(BTreeMap::<u64, u64>::default(), |mut acc, (time, count)| {
+            *acc.entry(time).or_default() += count;
+            acc
+        });
+
+    let sum = stats.iter().fold(0, |mut acc, (&time, &count)| {
+        acc += time * count;
+        acc
+    });
+
+    println!("{msg}");
+    println!("\titer {}", format_count(total_measurements));
+    println!("\tavg {}", format_time(sum / total_measurements as u64));
+    println!(
+        "\tp50 {}",
+        format_time(get_percentile_value(total_measurements, &stats, 50))
+    );
+    println!(
+        "\tp95 {}",
+        format_time(get_percentile_value(total_measurements, &stats, 95))
+    );
+    println!(
+        "\tp99 {}",
+        format_time(get_percentile_value(total_measurements, &stats, 99))
+    );
+}
+
+fn collect_and_return_count(reader: &SharedReader) -> u64 {
+    let mut rm = ResourceMetrics {
+        resource: Resource::empty(),
+        scope_metrics: Vec::new(),
+    };
+    reader.collect(&mut rm).unwrap();
+    rm.scope_metrics
+        .into_iter()
+        .flat_map(|sm| sm.metrics.into_iter())
+        .flat_map(|m| {
+            m.data
+                .as_any()
+                .downcast_ref::<data::Sum<u64>>()
+                .unwrap()
+                .data_points
+                .clone()
+                .into_iter()
+        })
+        .map(|dp| dp.value)
+        .sum()
+}
+
+fn get_percentile_value(
+    total_measurements: u64,
+    stats: &BTreeMap<u64, u64>,
+    percentile: u64,
+) -> u64 {
+    assert!(percentile > 0 && percentile < 100);
+    let break_point = ((total_measurements as f64 * percentile as f64) / 100.0) as u64;
+    let mut iter = stats.iter().peekable();
+    let mut sum = 0;
+    while let Some(left) = iter.next() {
+        sum += left.1;
+        if let Some(&right) = iter.peek() {
+            let next_sum = sum + right.1;
+            if next_sum > break_point {
+                // interpolate
+                let diff = (next_sum - sum) as f32;
+                let ratio = (break_point - sum) as f32 / diff;
+                let time_diff = (right.0 - left.0) as f32;
+                return *left.0 + (time_diff * ratio) as u64;
+            }
+        }
+    }
+    0
+}
+
+fn format_count(count: u64) -> String {
+    let count = count as f64;
+    let (val, symbol) = if count > 1000000.0 {
+        (count / 1000000.0, "M")
+    } else if count > 1000.0 {
+        (count / 1000.0, "K")
+    } else {
+        (count, "")
+    };
+    if val > 100.0 {
+        format!("{val:>5.1}{symbol}")
+    } else if val > 10.0 {
+        format!("{val:>5.2}{symbol}")
+    } else {
+        format!("{val:>5.3}{symbol}")
+    }
+}
+
+fn format_time(nanos: u64) -> String {
+    let nanos = nanos as f64;
+    let (val, symbol) = if nanos > 1000000.0 {
+        (nanos / 1000000.0, "ms")
+    } else if nanos > 1000.0 {
+        (nanos / 1000.0, "μs")
+    } else {
+        (nanos, "ns")
+    };
+    if val > 100.0 {
+        format!("{val:>5.1}{symbol}")
+    } else if val > 10.0 {
+        format!("{val:>5.2}{symbol}")
+    } else {
+        format!("{val:>5.3}{symbol}")
+    }
+}
+
+#[test]
+fn test_format_time() {
+    assert_eq!("12.00ns", format_time(12));
+    assert_eq!("123.0ns", format_time(123));
+    assert_eq!("1.234μs", format_time(1234));
+    assert_eq!("12.35μs", format_time(12349));
+    assert_eq!("123.4μs", format_time(123400));
+    assert_eq!("1.235ms", format_time(1234900));
+    assert_eq!("12.34ms", format_time(12340000));
+}