Response Time Breakdowns by HTTP Status Code

CHANGELOG.md

@@ -8,6 +8,7 @@
     o introduces `TransactionName` enum with `TransactionOnly` and `InheritNameByRequests` variants
  - [#578](https://github.com/tag1consulting/goose/pull/578) add type-safe client builder for cookie configuration, optimize startup with shared clients
  - [#629](https://github.com/tag1consulting/goose/pull/629) add `--pdf-print-html` option to generate printer-friendly HTML optimized for PDF conversion; provides two-step PDF workflow without requiring Chromium dependencies; add `--pdf-timeout` option for configurable Chrome timeout in direct PDF generation (10-300s, default: 60)
+ - [#663](https://github.com/tag1consulting/goose/pull/663) add response time breakdowns grouped by HTTP status code in CLI and HTML reports
 
 ## 0.18.1 August 14, 2025
  - [#634](https://github.com/tag1consulting/goose/pull/634) add killswitch mechanism for programmatic test termination

src/docs/goose-book/src/getting-started/metrics.md

@@ -204,6 +204,14 @@ All 9 users hatched.
  -------------------------+-------------+------------+-------------+-----------
  Aggregated               |       11.41 |          2 |         304 |          5
  ------------------------------------------------------------------------------
+ Name                     |    Avg (ms) |        Min |         Max |     Median
+ ------------------------------------------------------------------------------
+ GET static asset         |        5.11 |          2 |          38 |          5
+   └─ 200 (94.2%)         |        4.98 |          2 |          35 |          5
+   └─ 404 (5.8%)          |        7.24 |          5 |          38 |          7
+ -------------------------+-------------+------------+-------------+-----------
+ Aggregated               |       11.41 |          2 |         304 |          5
+ ------------------------------------------------------------------------------
  Slowest page load within specified percentile of requests (in ms):
  ------------------------------------------------------------------------------
  Name                     |    50% |    75% |    98% |    99% |  99.9% | 99.99%
@@ -338,6 +346,16 @@ In the following graph, it's apparent that POST requests had the slowest respons
 Below the graph is a table that shows per-request details:
 ![Response time metrics](metrics-response-time.jpg)
 
+**Status Code Response Time Breakdowns:** When a request returns multiple different HTTP status codes during a load test, Goose automatically provides response time breakdowns grouped by status code. In the CLI output above, you can see this feature demonstrated with the `GET static asset` request, which received both `200` (successful) and `404` (not found) responses:
+
+```
+GET static asset         |        5.11 |          2 |          38 |          5
+  └─ 200 (94.2%)         |        4.98 |          2 |          35 |          5
+  └─ 404 (5.8%)          |        7.24 |          5 |          38 |          7
+```
+
+This breakdown reveals important performance insights - in this example, the `404` responses took longer on average (7.24ms) than successful `200` responses (4.98ms), helping identify performance patterns related to error handling. The percentages show the distribution of each status code, and the tree-like formatting with `└─` clearly indicates these are sub-metrics of the main request. This feature helps identify performance differences between successful and failed requests, enabling more targeted optimization efforts.
+
 #### Status codes
 All status codes returned by the server are displayed in a table, per-request and in aggregate. In our simple test, we received only `200 OK` responses.
 ![Status code metrics](metrics-status-codes.jpg)

src/metrics.rs

@@ -461,6 +461,8 @@ pub struct GooseRequestMetricAggregate {
     pub coordinated_omission_data: Option<GooseRequestMetricTimingData>,
     /// Per-status-code counters, tracking how often each response code was returned for this request.
     pub status_code_counts: HashMap<u16, usize>,
+    /// Per-status-code response time data, tracking response times grouped by status code.
+    pub status_code_response_times: HashMap<u16, GooseRequestMetricTimingData>,
     /// Total number of times this path-method request resulted in a successful (2xx) status code.
     ///
     /// A count of how many requests resulted in a 2xx status code.
@@ -485,6 +487,7 @@ impl GooseRequestMetricAggregate {
             raw_data: GooseRequestMetricTimingData::new(None),
             coordinated_omission_data: None,
             status_code_counts: HashMap::new(),
+            status_code_response_times: HashMap::new(),
             success_count: 0,
             fail_count: 0,
             load_test_hash,
@@ -529,6 +532,26 @@ impl GooseRequestMetricAggregate {
         self.status_code_counts.insert(status_code, counter);
         debug!("[metrics]: incremented {status_code} counter: {counter}");
     }
+
+    /// Record response time grouped by status code.
+    pub(crate) fn record_status_code_response_time(
+        &mut self,
+        status_code: u16,
+        time_elapsed: u64,
+        coordinated_omission_mitigation: bool,
+    ) {
+        // Get or create the timing data for this status code
+        let timing_data = self
+            .status_code_response_times
+            .entry(status_code)
+            .or_insert_with(|| GooseRequestMetricTimingData::new(None));
+
+        // Only add time_elapsed to raw data if the time wasn't generated by Coordinated
+        // Omission Mitigation.
+        if !coordinated_omission_mitigation {
+            timing_data.record_time(time_elapsed);
+        }
+    }
 }
 
 /// Implement equality for GooseRequestMetricAggregate. We can't simply derive since
@@ -1845,6 +1868,50 @@ impl GooseMetrics {
                 )),
                 raw_avg_precision = raw_average_precision,
             )?;
+
+            // Display status code breakdown only if multiple status codes exist for this request
+            if request.status_code_response_times.len() > 1 {
+                // Sort status codes for consistent display order
+                let mut status_codes: Vec<_> = request.status_code_response_times.keys().collect();
+                status_codes.sort();
+
+                for &status_code in status_codes {
+                    if let Some(timing_data) = request.status_code_response_times.get(&status_code)
+                    {
+                        // Calculate percentage of requests with this status code
+                        let status_count =
+                            request.status_code_counts.get(&status_code).unwrap_or(&0);
+                        let total_count = request.success_count + request.fail_count;
+                        let percentage = if total_count > 0 {
+                            (*status_count as f32 / total_count as f32) * 100.0
+                        } else {
+                            0.0
+                        };
+
+                        let status_average = match timing_data.counter {
+                            0 => 0.0,
+                            _ => timing_data.total_time as f32 / timing_data.counter as f32,
+                        };
+                        let status_average_precision = determine_precision(status_average);
+
+                        writeln!(
+                            fmt,
+                            " {:<24} | {:>11.status_avg_precision$} | {:>10} | {:>11} | {:>10}",
+                            format!("   └─ {} ({:.1}%)", status_code, percentage),
+                            status_average,
+                            format_number(timing_data.minimum_time),
+                            format_number(timing_data.maximum_time),
+                            format_number(util::median(
+                                &timing_data.times,
+                                timing_data.counter,
+                                timing_data.minimum_time,
+                                timing_data.maximum_time,
+                            )),
+                            status_avg_precision = status_average_precision,
+                        )?;
+                    }
+                }
+            }
         }
 
         let raw_average = match aggregate_raw_counter {
@@ -2836,6 +2903,12 @@ impl GooseAttack {
             );
             if !self.configuration.no_status_codes {
                 merge_request.set_status_code(request_metric.status_code);
+                // Also track response time per status code
+                merge_request.record_status_code_response_time(
+                    request_metric.status_code,
+                    request_metric.response_time,
+                    request_metric.coordinated_omission_elapsed > 0,
+                );
             }
             if request_metric.success {
                 merge_request.success_count += 1;

src/metrics/common.rs

@@ -95,6 +95,38 @@ pub fn prepare_data(options: ReportOptions, metrics: &GooseMetrics) -> ReportDat
             request.raw_data.maximum_time,
         ));
 
+        // Add status code response time breakdowns if multiple status codes exist
+        if request.status_code_response_times.len() > 1 {
+            let mut status_codes: Vec<_> = request.status_code_response_times.keys().collect();
+            status_codes.sort();
+
+            for &status_code in status_codes {
+                if let Some(timing_data) = request.status_code_response_times.get(&status_code) {
+                    // Calculate percentage of requests with this status code
+                    let status_count = request
+                        .status_code_counts
+                        .get(&status_code)
+                        .copied()
+                        .unwrap_or(0);
+                    let total_count = request.success_count + request.fail_count;
+                    let percentage = if total_count > 0 {
+                        (status_count as f32 / total_count as f32) * 100.0
+                    } else {
+                        0.0
+                    };
+
+                    raw_response_metrics.push(report::get_response_metric(
+                        &format!("└─ {} ({:.1}%)", status_code, percentage),
+                        &name,
+                        &timing_data.times,
+                        timing_data.counter,
+                        timing_data.minimum_time,
+                        timing_data.maximum_time,
+                    ));
+                }
+            }
+        }
+
         // Collect aggregated request and response metrics.
         raw_aggregate_total_count += total_request_count;
         raw_aggregate_fail_count += request.fail_count;

src/report.rs

@@ -69,6 +69,7 @@ pub(crate) struct ResponseMetric {
     pub percentile_95: usize,
     pub percentile_99: usize,
     pub percentile_100: usize,
+    pub is_breakdown: bool,
 }
 
 /// Defines the metrics reported about transactions.
@@ -140,6 +141,7 @@ pub(crate) fn get_response_metric(
         percentile_95: percentiles[5],
         percentile_99: percentiles[6],
         percentile_100: percentiles[7],
+        is_breakdown: method.starts_with("└─"),
     }
 }
 
@@ -171,8 +173,35 @@ pub(crate) fn raw_request_metrics_row(metric: RequestMetric) -> String {
 
 /// Build an individual row of response metrics in the html report.
 pub(crate) fn response_metrics_row(metric: ResponseMetric) -> String {
-    format!(
-        r#"<tr>
+    // Check if this is a status code breakdown
+    if metric.is_breakdown {
+        // Status code breakdown row - merge first two columns and use increased indentation
+        format!(
+            r#"<tr style="background-color: #f8f9fa;">
+            <td colspan="2" style="padding-left: 50px; font-style: italic; text-align: left;">{method}</td>
+            <td>{percentile_50}</td>
+            <td>{percentile_60}</td>
+            <td>{percentile_70}</td>
+            <td>{percentile_80}</td>
+            <td>{percentile_90}</td>
+            <td>{percentile_95}</td>
+            <td>{percentile_99}</td>
+            <td>{percentile_100}</td>
+        </tr>"#,
+            method = metric.method,
+            percentile_50 = format_number(metric.percentile_50),
+            percentile_60 = format_number(metric.percentile_60),
+            percentile_70 = format_number(metric.percentile_70),
+            percentile_80 = format_number(metric.percentile_80),
+            percentile_90 = format_number(metric.percentile_90),
+            percentile_95 = format_number(metric.percentile_95),
+            percentile_99 = format_number(metric.percentile_99),
+            percentile_100 = format_number(metric.percentile_100),
+        )
+    } else {
+        // Regular response metrics row
+        format!(
+            r#"<tr>
             <td>{method}</td>
             <td>{name}</td>
             <td>{percentile_50}</td>
@@ -184,17 +213,18 @@ pub(crate) fn response_metrics_row(metric: ResponseMetric) -> String {
             <td>{percentile_99}</td>
             <td>{percentile_100}</td>
         </tr>"#,
-        method = metric.method,
-        name = metric.name,
-        percentile_50 = format_number(metric.percentile_50),
-        percentile_60 = format_number(metric.percentile_60),
-        percentile_70 = format_number(metric.percentile_70),
-        percentile_80 = format_number(metric.percentile_80),
-        percentile_90 = format_number(metric.percentile_90),
-        percentile_95 = format_number(metric.percentile_95),
-        percentile_99 = format_number(metric.percentile_99),
-        percentile_100 = format_number(metric.percentile_100),
-    )
+            method = metric.method,
+            name = metric.name,
+            percentile_50 = format_number(metric.percentile_50),
+            percentile_60 = format_number(metric.percentile_60),
+            percentile_70 = format_number(metric.percentile_70),
+            percentile_80 = format_number(metric.percentile_80),
+            percentile_90 = format_number(metric.percentile_90),
+            percentile_95 = format_number(metric.percentile_95),
+            percentile_99 = format_number(metric.percentile_99),
+            percentile_100 = format_number(metric.percentile_100),
+        )
+    }
 }
 
 /// If Coordinated Omission Mitigation is triggered, add a relevant request table to the

src/report/markdown.rs

@@ -157,6 +157,7 @@ impl<W: Write> Markdown<'_, '_, W> {
             percentile_95,
             percentile_99,
             percentile_100,
+            is_breakdown: _,
         } in &self.data.raw_response_metrics
         {
             writeln!(