Integrate additional feedback for PR #200

deploy/grafana-dashboard/panels/availability_row.py

@@ -6,7 +6,7 @@ from utils.utils import read_query
 
 prewarming_pool_size = BarGauge(
     title="Prewarming Pool Size",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("prewarming-pool-size"))],
     gridPos=GridPos(h=10, w=11, x=0, y=1),
     allValues=True,
@@ -17,27 +17,30 @@ prewarming_pool_size = BarGauge(
 
 idle_runner = TimeSeries(
     title="Idle Runner",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("idle-runner"))],
     gridPos=GridPos(h=10, w=13, x=11, y=1),
     lineInterpolation="stepAfter",
-    maxDataPoints=None
+    maxDataPoints=None,
 )
 
 runner_startup_duration = TimeSeries(
     title="Runner startup duration",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("runner-startup-duration"))],
     gridPos=GridPos(h=10, w=12, x=0, y=11),
     unit="ns",
+    maxDataPoints=None,
+    lineInterpolation="smooth",
 )
 
 used_runner = TimeSeries(
     title="Used Runner",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("used-runner"))],
     gridPos=GridPos(h=10, w=12, x=12, y=11),
-    maxDataPoints=None
+    maxDataPoints=None,
+    lineInterpolation="smooth",
 )
 
 availability_row = RowPanel(

deploy/grafana-dashboard/panels/general_row.py

@@ -7,16 +7,17 @@ from utils.utils import read_query
 
 requests_per_minute = TimeSeries(
     title="Requests per minute",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("requests-per-minute"))],
     gridPos=GridPos(h=9, w=8, x=0, y=22),
     scaleDistributionType="log",
-    extraJson=grey_all_mapping
+    extraJson=grey_all_mapping,
+    lineInterpolation="smooth",
 )
 
 request_latency = Heatmap(
     title="Request Latency",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     dataFormat="timeseries",
     targets=[InfluxDBTarget(query=read_query("request-latency"))],
     gridPos=GridPos(h=9, w=8, x=8, y=22),
@@ -26,34 +27,35 @@ request_latency = Heatmap(
         "yAxis": {
             "format": "ns"
         }
-    }
+    },
 )
 
 service_time = TimeSeries(
     title="Service time (99.9%)",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("service-time"))],
     gridPos=GridPos(h=9, w=8, x=16, y=22),
     scaleDistributionType="log",
     scaleDistributionLog=10,
     unit="ns",
-    maxDataPoints=None
+    maxDataPoints=None,
+    lineInterpolation="smooth",
 )
 
 current_environment_count = Stat(
     title="Current environment count",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("current-environment-count"))],
     gridPos=GridPos(h=6, w=8, x=0, y=31),
-    alignment='center'
+    alignment="center",
 )
 
 currently_used_runners = Stat(
     title="Currently used runners",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("currently-used-runners"))],
     gridPos=GridPos(h=6, w=8, x=8, y=31),
-    alignment="center"
+    alignment="center",
 )
 
 number_of_executions = BarGauge(
@@ -76,6 +78,7 @@ execution_duration = BarGauge(
     displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
     format="ns",
     max=None,
+    decimals=2,
 )
 
 executions_per_runner = BarGauge(
@@ -86,6 +89,7 @@ executions_per_runner = BarGauge(
     allValues=True,
     displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
     max=None,
+    decimals=2,
 )
 
 executions_per_minute = BarGauge(
@@ -96,6 +100,7 @@ executions_per_minute = BarGauge(
     allValues=True,
     displayMode=GAUGE_DISPLAY_MODE_GRADIENT,
     max=None,
+    decimals=2,
 )
 
 general_row = RowPanel(
@@ -114,5 +119,5 @@ general_panels = [
     number_of_executions,
     execution_duration,
     executions_per_runner,
-    executions_per_minute
+    executions_per_minute,
 ]

deploy/grafana-dashboard/panels/poseidon.dashboard.py

@@ -11,11 +11,11 @@ dashboard = Dashboard(
     panels=availability_panels + general_panels + runner_insights_panels,
     templating=Templating(list=[
         stage_variable,
-        environment_variable
+        environment_variable,
     ]),
     editable=True,
     refresh="30s",
-    time=Time('now-6h', 'now'),
+    time=Time("now-6h", "now"),
     uid="P21Bh1SVk",
-    version=1
+    version=1,
 ).auto_panel_ids()

deploy/grafana-dashboard/panels/runner_insights_row.py

@@ -12,48 +12,56 @@ execution_duration_extra_json = {
 }
 execution_duration = Histogram(
     title="Execution duration",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("execution-duration-hist"))],
     gridPos=GridPos(h=8, w=24, x=0, y=49),
     bucketSize=100000000,
     colorMode="palette-classic",
+    fillOpacity=50,
+    lineWidth=1,
     maxDataPoints=None,
-    extraJson=execution_duration_extra_json
+    extraJson=execution_duration_extra_json,
 )
 
 executions_per_runner = Histogram(
     title="Executions per runner",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("executions-per-runner-hist"))],
     gridPos=GridPos(h=10, w=11, x=0, y=57),
     bucketSize=1,
     colorMode="palette-classic",
+    fillOpacity=50,
+    lineWidth=1,
+    maxDataPoints=None,
 )
 
 executions_per_minute = TimeSeries(
     title="Executions per minute",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("executions-per-minute-time"))],
     gridPos=GridPos(h=10, w=13, x=11, y=57),
-    maxDataPoints=None
+    maxDataPoints=None,
+    lineInterpolation="smooth",
 )
 
 request_body_size = TimeSeries(
     title="Request Body Size",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("request-body-size"))],
     gridPos=GridPos(h=10, w=11, x=0, y=67),
     scaleDistributionType="log",
     unit="bytes",
-    maxDataPoints=None
+    maxDataPoints=None,
+    lineInterpolation="smooth",
 )
 
 runner_per_minute = TimeSeries(
     title="Runner per minute",
-    dataSource='Poseidon',
+    dataSource="Poseidon",
     targets=[InfluxDBTarget(query=read_query("runner-per-minute"))],
     gridPos=GridPos(h=10, w=13, x=11, y=67),
-    maxDataPoints=None
+    maxDataPoints=None,
+    lineInterpolation="smooth",
 )
 
 runner_insights_row = RowPanel(