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flyteuser.dashboard.py
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import typing
from grafanalib.core import (
Alert, AlertCondition, Dashboard, Graph,
GreaterThan, OP_AND, OPS_FORMAT, Row, RTYPE_SUM, SECONDS_FORMAT,
SHORT_FORMAT, single_y_axis, Target, TimeRange, YAxes, YAxis, MILLISECONDS_FORMAT, Templating, Template,
DataSourceInput
)
DATASOURCE_NAME = "DS_PROM"
DATASOURCE = "${%s}" % DATASOURCE_NAME
class FlyteUserDashboard(object):
@staticmethod
def workflow_stats(collapse: bool) -> Row:
return Row(
title="Workflow Stats",
collapse=collapse,
panels=[
Graph(
title="Accepted Workflow",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(rate(flyte:propeller:all:workflow:accepted{project=~"$project", domain=~"$domain", wf=~"$workflow"}[5m]))',
refId='A',
),
],
yAxes=YAxes(
YAxis(format=OPS_FORMAT),
YAxis(format=SHORT_FORMAT),
),
),
Graph(
title="Successful Workflow",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(rate(flyte:propeller:all:workflow:success_duration_ms_count{project=~"$project", domain=~"$domain", wf=~"$workflow"}[5m]))',
refId='A',
),
],
yAxes=YAxes(
YAxis(format=OPS_FORMAT),
YAxis(format=SHORT_FORMAT),
),
),
Graph(
title="Failed Workflow",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(rate(flyte:propeller:all:workflow:failure_duration_ms_count{project=~"$project", domain=~"$domain", wf=~"$workflow"}[5m]))',
refId='A',
),
],
yAxes=YAxes(
YAxis(format=OPS_FORMAT),
YAxis(format=SHORT_FORMAT),
),
),
Graph(
title="Aborted Workflow",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(rate(flyte:propeller:all:workflow:workflow_aborted{project=~"$project", domain=~"$domain", wf=~"$workflow"}[5m]))',
refId='A',
),
],
yAxes=YAxes(
YAxis(format=OPS_FORMAT),
YAxis(format=SHORT_FORMAT),
),
),
Graph(
title="Successful workflow execution time by Quantile",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(flyte:propeller:all:workflow:success_duration_ms{project=~"$project", domain=~"$domain", wf=~"$workflow"}) by (quantile)',
refId='A',
),
],
yAxes=single_y_axis(format=MILLISECONDS_FORMAT),
),
Graph(
title="Failed workflow execution time by Quantile",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(flyte:propeller:all:workflow:failure_duration_ms{project=~"$project", domain=~"$domain", wf=~"$workflow"}) by (quantile)',
refId='A',
),
],
yAxes=single_y_axis(format=MILLISECONDS_FORMAT),
),
Graph(
title="Node queuing latency by Quantile",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(flyte:propeller:all:node:queueing_latency_ms{project=~"$project", domain=~"$domain", wf=~"$workflow"}) by (quantile)',
refId='A',
),
],
yAxes=single_y_axis(format=MILLISECONDS_FORMAT),
),
])
@staticmethod
def quota_stats(collapse: bool) -> Row:
return Row(
title="Kubernetes Quota Usage stats",
collapse=collapse,
panels=[
Graph(
title="CPU Limits vs usage",
dataSource=DATASOURCE,
targets=[
Target(
expr='kube_resourcequota{resource="limits.cpu", namespace="$project-$domain", type="hard"}',
refId='A',
legendFormat="max cpu",
),
Target(
expr='kube_resourcequota{resource="limits.cpu", namespace="$project-$domain", type="used"}',
refId='B',
legendFormat="used cpu",
),
],
yAxes=YAxes(
YAxis(format=OPS_FORMAT),
YAxis(format=SHORT_FORMAT),
),
),
Graph(
title="Mem Limits vs usage",
dataSource=DATASOURCE,
targets=[
Target(
expr='kube_resourcequota{resource="limits.memory", namespace="$project-$domain", type="hard"}',
refId='A',
legendFormat="max mem",
),
Target(
expr='kube_resourcequota{resource="limits.memory", namespace="$project-$domain", type="used"}',
refId='B',
legendFormat="used mem",
),
],
yAxes=YAxes(
YAxis(format=OPS_FORMAT),
YAxis(format=SHORT_FORMAT),
),
),
])
@staticmethod
def resource_stats(collapse: bool) -> Row:
return Row(
title="Task stats",
collapse=collapse,
panels=[
Graph(
title="Pending tasks",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(kube_pod_container_status_waiting * on(pod) group_left(label_execution_id, label_task_name, label_node_id, label_workflow_name) kube_pod_labels{label_execution_id !="",namespace=~"$project-$domain",label_workflow_name=~"$workflow"}) by (namespace, label_execution_id, label_task_name, label_node_id, label_workflow_name) > 0',
refId='A',
),
],
yAxes=single_y_axis(format=SHORT_FORMAT),
),
Graph(
title="Memory Usage Percentage",
dataSource=DATASOURCE,
targets=[
Target(
expr='(100 * max(container_memory_rss{image!=""} * on(pod) group_left(label_execution_id, label_task_name, label_node_id, label_workflow_name) kube_pod_labels{label_execution_id !="",namespace=~"$project-$domain",label_workflow_name=~"$workflow"} * on(pod) group_left(phase) kube_pod_status_phase{phase="Running"}) by (namespace, pod, label_execution_id, label_task_name, label_node_id, label_workflow_name) / max(kube_pod_container_resource_limits_memory_bytes{container!=""} * on(pod) group_left(label_execution_id, label_task_name, label_node_id, label_workflow_name) kube_pod_labels{label_execution_id !=""} * on(pod) group_left(phase) kube_pod_status_phase{phase="Running"}) by (namespace, pod, label_execution_id, label_task_name, label_node_id, label_workflow_name)) > 0',
refId='A',
),
],
yAxes=single_y_axis(format=SHORT_FORMAT),
),
Graph(
title="CPU Usage Percentage",
dataSource=DATASOURCE,
targets=[
Target(
expr='(100* sum(rate(container_cpu_usage_seconds_total{image!=""}[2m]) * on(pod) group_left(label_execution_id, label_task_name, label_node_id, label_workflow_name) kube_pod_labels{label_execution_id !="",namespace=~"$project-$domain",label_workflow_name=~"$workflow"} * on(pod) group_left(phase) kube_pod_status_phase{phase="Running"}) by (namespace, pod, label_execution_id, label_task_name, label_node_id, label_workflow_name) / sum(kube_pod_container_resource_limits_cpu_cores{container!=""} * on(pod) group_left(label_execution_id, label_task_name, label_node_id, label_workflow_name) kube_pod_labels{label_execution_id !=""} * on(pod) group_left(phase) kube_pod_status_phase{phase="Running"}) by (namespace, pod, label_execution_id, label_task_name, label_node_id, label_workflow_name)) > 0',
refId='A',
),
],
yAxes=single_y_axis(format=SHORT_FORMAT),
),
])
@staticmethod
def errors(collapse: bool) -> Row:
return Row(
title="Error (System vs user)",
collapse=collapse,
panels=[
Graph(
title="User errors",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(rate(flyte:propeller:all:node:user_error_duration_ms_count{project=~"$project",domain=~"$domain",wf=~"$project:$domain:$workflow"}[5m]))',
refId='A',
),
],
yAxes=single_y_axis(format=SHORT_FORMAT),
),
Graph(
title="System errors",
dataSource=DATASOURCE,
targets=[
Target(
expr='sum(rate(flyte:propeller:all:node:system_error_duration_ms_count{project=~"$project",domain=~"$domain",wf=~"$project:$domain:$workflow"}[5m]))',
refId='A',
),
],
yAxes=single_y_axis(format=SHORT_FORMAT),
),
])
@staticmethod
def create_all_rows(interval: int) -> typing.List[Row]:
return [
FlyteUserDashboard.workflow_stats(False),
FlyteUserDashboard.quota_stats(True),
FlyteUserDashboard.resource_stats(True),
FlyteUserDashboard.errors(True),
]
project_template = Template(
name="project",
dataSource=DATASOURCE,
query="label_values(flyte:propeller:all:collector:flyteworkflow, project)",
sort=True,
)
domain_template = Template(
name="domain",
dataSource=DATASOURCE,
query="label_values(flyte:propeller:all:collector:flyteworkflow, domain)",
sort=True,
)
wf_template = Template(
name="workflow",
dataSource=DATASOURCE,
query="label_values(flyte:propeller:all:collector:flyteworkflow, wf)",
sort=True,
allValue=".*",
includeAll=True,
)
dashboard = Dashboard(
tags=["flyte", "prometheus", "flyteuser", "flyte-user"],
inputs=[
DataSourceInput(
name=DATASOURCE_NAME,
label="Prometheus",
description="Prometheus server that connects to Flyte",
pluginId="prometheus",
pluginName="Prometheus",
),
],
editable=False,
title="Flyte User Dashboard (via Prometheus)",
rows=FlyteUserDashboard.create_all_rows(interval=5),
templating=Templating(list=[
project_template,
domain_template,
wf_template,
]),
description="Flyte User Dashboard. This is great to get a birds-eye and drill down view of executions in your Flyte cluster. Useful for the user.",
).auto_panel_ids()
if __name__ == "__main__":
print(dashboard.to_json_data())