Knative Eventing metrics

Administrators can view metrics for Knative Eventing components.

Broker - Ingress

Use the following metrics to debug how broker ingress performs and what events are dispatched via the ingress component.

By aggregating the metrics over the http code, events can be separated into two classes, successful (2xx) and failed events (5xx).

Metric NameDescriptionTypeTagsUnitStatus
event_countNumber of events received by a BrokerCounterbroker_name
event_type
namespace_name
response_code
response_code_class
unique_name
DimensionlessStable
event_dispatch_latenciesThe time spent dispatching an event to a ChannelHistogrambroker_name
event_type
namespace_name
response_code
response_code_class
unique_name
MillisecondsStable

Broker - Filter

Use the following metrics to debug how broker filter performs and what events are dispatched via the filter component. Also user can measure the latency of the actual filtering action on an event. By aggregating the metrics over the http code, events can be separated into two classes, successful (2xx) and failed events (5xx).

Metric NameDescriptionTypeTagsUnitStatus
event_countNumber of events received by a BrokerCounterbroker_name
container_name=
filter_type
namespace_name
response_code
response_code_class
trigger_name
unique_name
DimensionlessStable
event_dispatch_latenciesThe time spent dispatching an event to a ChannelHistogrambroker_name
container_name
filter_type
namespace_name
response_code
response_code_class
trigger_name
unique_name
MillisecondsStable
event_processing_latenciesThe time spent processing an event before it is dispatched to a Trigger subscriberHistogrambroker_name
container_name
filter_type
namespace_name
trigger_name
unique_name
MillisecondsStable

In-memory Dispatcher

In-memory channel can be evaluated via the following metrics. By aggregating the metrics over the http code, events can be separated into two classes, successful (2xx) and failed events (5xx).

Metric NameDescriptionTypeTagsUnitStatus
event_countNumber of events dispatched by the in-memory channelCountercontainer_name
event_type=
namespace_name=
response_code
response_code_class
unique_name
DimensionlessStable
event_dispatch_latenciesThe time spent dispatching an event from a in-memory ChannelHistogramcontainer_name
event_type
namespace_name=
response_code
response_code_class
unique_name
MillisecondsStable

Note

A number of metrics eg. controller, Go runtime and others are omitted here as they are common across most components. For more about these metrics check the Serving metrics API section.

Eventing sources

Eventing sources are created by users who own the related system, so they can trigger applications with events. Every source exposes by default a number of metrics to help user monitor events dispatched. Use the following metrics to verify that events have been delivered from the source side, thus verifying that the source and any connection with the source work as expected.

Metric NameDescriptionTypeTagsUnitStatus
event_countNumber of events sent by the sourceCounterevent_source
event_type
name
namespace_name
resource_group
response_code
response_code_class
response_error
response_timeout
DimensionlessStable
retry_event_countNumber of events sent by the source in retriesCounterevent_source
event_type
name
namespace_name
resource_group
response_code
response_code_class
response_error
response_timeout
DimensionlessStable