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MeshTrace
This policy uses new policy matching algorithm.
Do not combine with TrafficTrace.
This policy enables publishing traces to a third party tracing solution.
Tracing is supported over HTTP, HTTP2, and gRPC protocols.
You must explicitly specify the protocol for each service and data plane proxy you want to enable tracing for.
Kong Mesh currently supports the following trace exposition formats:
Services still need to be instrumented to preserve the trace chain across requests made across different services.
You can instrument with a language library of your choice (for Zipkin and for Datadog).
For HTTP you can also manually forward the following headers:
x-request-id
x-b3-traceid
x-b3-parentspanid
x-b3-spanid
x-b3-sampled
x-b3-flags
TargetRef support matrix
Sidecar
Builtin Gateway
Delegated Gateway
targetRef |
Allowed kinds |
targetRef.kind |
Mesh , MeshSubset , MeshService , MeshServiceSubset
|
targetRef |
Allowed kinds |
targetRef.kind |
Mesh , MeshGateway
|
targetRef |
Allowed kinds |
targetRef.kind |
Mesh , MeshSubset , MeshService , MeshServiceSubset
|
To learn more about the information in this table, see the matching docs.
Configuration
Sampling
Most of the time setting only overall
is sufficient. random
and client
are for advanced use cases.
You can configure sampling settings equivalent to Envoy’s:
The value is always a percentage and is between 0 and 100.
Example:
sampling:
overall: 80
random: 60
client: 40
You can add tags to trace metadata by directly supplying the value (literal
) or by taking it from a header (header
).
Example:
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
If a value is missing for header
, default
is used.
If default
isn’t provided, then the tag won’t be added.
Backends
Datadog
You can configure a Datadog backend with a url
and splitService
.
Example:
datadog:
url: http://my-agent:8080 # Required. The url to reach a running datadog agent
splitService: true # Default to false. If true, it will split inbound and outbound requests in different services in Datadog
The splitService
property determines if Datadog service names should be split based on traffic direction and destination.
For example, with splitService: true
and a backend
service that communicates with a couple of databases,
you would get service names like backend_INBOUND
, backend_OUTBOUND_db1
, and backend_OUTBOUND_db2
in Datadog.
Zipkin
In most cases the only field you’ll want to set in url
.
Example:
zipkin:
url: http://jaeger-collector:9411/api/v2/spans # Required. The url to a zipkin collector to send traces to
traceId128bit: false # Default to false which will expose a 64bits traceId. If true, the id of the trace is 128bits
apiVersion: httpJson # Default to httpJson. It can be httpJson, httpProto and is the version of the zipkin API
sharedSpanContext: false # Default to true. If true, the inbound and outbound traffic will share the same span.
OpenTelemetry
The only field you can set is endpoint
.
Example:
openTelemetry:
endpoint: otel-collector:4317 # Required. Address of OpenTelemetry collector
Examples
Zipkin
Simple example:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: default
namespace: kong-mesh-system
labels:
kuma.io/mesh: default # optional, defaults to `default` if unset
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Zipkin
zipkin:
url: http://jaeger-collector.mesh-observability:9411/api/v2/spans
Full example:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: default
namespace: kong-mesh-system
labels:
kuma.io/mesh: default # optional, defaults to `default` if unset
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Zipkin
zipkin:
url: http://jaeger-collector.mesh-observability:9411/api/v2/spans
apiVersion: httpJson
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
sampling:
overall: 80
random: 60
client: 40
Apply the configuration with kubectl apply -f [..]
.
Simple example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Zipkin
zipkin:
url: http://jaeger-collector:9411/api/v2/spans
Full example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Zipkin
zipkin:
url: http://jaeger-collector:9411/api/v2/spans
apiVersion: httpJson
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
sampling:
overall: 80
random: 60
client: 40
Apply the configuration with kumactl apply -f [..]
or with the HTTP API.
Datadog
This assumes a Datadog agent is configured and running. If you haven’t already check the Datadog observability page.
Simple Example:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: default
namespace: kong-mesh-system
labels:
kuma.io/mesh: default # optional, defaults to `default` if unset
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Datadog
datadog:
url: http://trace-svc.default.svc.cluster.local:8126
Full Example:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: default
namespace: kong-mesh-system
labels:
kuma.io/mesh: default # optional, defaults to `default` if unset
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Datadog
datadog:
url: http://trace-svc.default.svc.cluster.local:8126
splitService: true
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
sampling:
overall: 80
random: 60
client: 40
where trace-svc
is the name of the Kubernetes Service you specified when you configured the Datadog APM agent.
Apply the configuration with kubectl apply -f [..]
.
Simple example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Datadog
datadog:
url: http://127.0.0.1:8126
Full example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: Datadog
datadog:
url: http://127.0.0.1:8126
splitService: true
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
sampling:
overall: 80
random: 60
client: 40
Apply the configuration with kumactl apply -f [..]
or with the HTTP API.
OpenTelemetry
This assumes a OpenTelemetry collector is configured and running.
If you haven’t already check the OpenTelementry operator.
Simple Example:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: default
namespace: kong-mesh-system
labels:
kuma.io/mesh: default # optional, defaults to `default` if unset
spec:
targetRef:
kind: Mesh
default:
backends:
- type: OpenTelemetry
openTelemetry:
endpoint: otel-collector:4317
Full example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: OpenTelemetry
openTelemetry:
endpoint: otel-collector:4317
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
sampling:
overall: 80
random: 60
client: 40
where otel-collector
is the name of the Kubernetes Service for OTel exporter.
Apply the configuration with kubectl apply -f [..]
.
Simple Example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: OpenTelemetry
openTelemetry:
endpoint: my-otel-collector.com:4317
Full example:
type: MeshTrace
name: default
mesh: default
spec:
targetRef:
kind: Mesh
default:
backends:
- type: OpenTelemetry
openTelemetry:
endpoint: my-otel-collector.com:4317
tags:
- name: team
literal: core
- name: env
header:
name: x-env
default: prod
- name: version
header:
name: x-version
sampling:
overall: 80
random: 60
client: 40
Apply the configuration with kumactl apply -f [..]
or with the HTTP API.
Targeting parts of the infrastructure
While usually you want all the traces to be sent to the same tracing backend,
you can target parts of a Mesh
by using a finer-grained targetRef
and a designated backend to trace different paths of our service traffic.
This is especially useful when you want traces to never leave a world region, or a cloud, for example.
In this example, we have two zones east
and west
, each of these with their own Zipkin collector: east.zipkincollector:9411/api/v2/spans
and west.zipkincollector:9411/api/v2/spans
.
We want data plane proxies in each zone to only send traces to their local collector.
To do this, we use a TargetRef
kind value of MeshSubset
to filter which data plane proxy a policy applies to.
West only policy:
type: MeshTrace
name: trace-west
mesh: default
spec:
targetRef:
kind: MeshSubset
tags:
kuma.io/zome: west
default:
backends:
- type: Zipkin
zipkin:
url: http://west.zipkincollector:9411/api/v2/spans
East only policy:
type: MeshTrace
name: trace-east
mesh: default
spec:
targetRef:
kind: MeshSubset
tags:
kuma.io/zome: east
default:
backends:
- type: Zipkin
zipkin:
url: http://east.zipkincollector:9411/api/v2/spans
West only policy:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: trace-west
namespace: kong-mesh-system
spec:
targetRef:
kind: MeshSubset
tags:
kuma.io/zome: west
default:
backends:
- type: Zipkin
zipkin:
url: http://west.zipkincollector:9411/api/v2/spans
East only policy:
apiVersion: kuma.io/v1alpha1
kind: MeshTrace
metadata:
name: trace-east
namespace: kong-mesh-system
spec:
targetRef:
kind: MeshSubset
tags:
kuma.io/zome: east
default:
backends:
- type: Zipkin
zipkin:
url: http://east.zipkincollector:9411/api/v2/spans
All policy options