Customizing Istio Metrics
This task shows you how to customize the metrics that Istio generates.
Istio generates telemetry that various dashboards consume to help you visualize your mesh. For example, dashboards that support Istio include:
By default, Istio defines and generates a set of standard metrics (e.g. requests_total
), but you can also customize them and create new metrics.
Custom statistics configuration
Istio uses the Envoy proxy to generate metrics and provides its configuration in the EnvoyFilter
at manifests/charts/istio-control/istio-discovery/templates/telemetryv2_1.7.yaml
.
Configuring custom statistics involves two sections of the EnvoyFilter
: definitions
and metrics
. The definitions
section supports creating new metrics by name, the expected value expression, and the metric type (counter
, gauge
, and histogram
). The metrics
section provides values for the metric dimensions as expressions, and allows you to remove or override the existing metric dimensions. You can modify the standard metric definitions using tags_to_remove
or by re-defining a dimension. These configuration settings are also exposed as istioctl installation options, which allow you to customize different metrics for gateways and sidecars as well as for the inbound or outbound direction.
For more information, see Stats Config reference.
Before you begin
Install Istio in your cluster and deploy an application. Alternatively, you can set up custom statistics as part of the Istio installation.
The Bookinfo sample application is used as the example application throughout this task.
Enable custom metrics
The default telemetry v2
EnvoyFilter
configuration is equivalent to the following installation options:apiVersion: install.istio.io/v1alpha1
kind: IstioOperator
spec:
values:
telemetry:
v2:
prometheus:
configOverride:
inboundSidecar:
disable_host_header_fallback: false
outboundSidecar:
disable_host_header_fallback: false
gateway:
disable_host_header_fallback: true
To customize telemetry v2 metrics, for example, to add
request_host
anddestination_port
dimensions to therequests_total
metric emitted by both gateways and sidecars in the inbound and outbound direction, change the installation options as follows:You only need to specify the configuration for the settings that you want to customize. For example, to only customize the sidecar inbound
requests_count
metric, you can omit theoutboundSidecar
andgateway
sections in the configuration. Unspecified settings will retain the default configuration, equivalent to the explicit settings shown above.apiVersion: install.istio.io/v1alpha1
kind: IstioOperator
spec:
values:
telemetry:
v2:
prometheus:
configOverride:
inboundSidecar:
metrics:
- name: requests_total
dimensions:
destination_port: string(destination.port)
request_host: request.host
outboundSidecar:
metrics:
- name: requests_total
dimensions:
destination_port: string(destination.port)
request_host: request.host
gateway:
metrics:
- name: requests_total
dimensions:
destination_port: string(destination.port)
request_host: request.host
Apply the following annotation to all injected pods with the list of the dimensions to extract into a Prometheus time series using the following command:
This step is needed only if your dimensions are not already in DefaultStatTags list
apiVersion: apps/v1
kind: Deployment
spec:
template: # pod template
metadata:
annotations:
sidecar.istio.io/extraStatTags: destination_port,request_host
To enable extra tags mesh wide, you can add
extraStatTags
to your mesh config:meshConfig:
defaultConfig:
extraStatTags:
- destination_port
- request_host
Verify the results
Send traffic to the mesh. For the Bookinfo sample, visit http://$GATEWAY_URL/productpage
in your web browser or issue the following command:
$ curl "http://$GATEWAY_URL/productpage"
$GATEWAY_URL
is the value set in the Bookinfo example.
Use the following command to verify that Istio generates the data for your new or modified dimensions:
$ kubectl exec "$(kubectl get pod -l app=productpage -o jsonpath='{.items[0].metadata.name}')" -c istio-proxy -- curl 'localhost:15000/stats/prometheus' | grep istio_requests_total
For example, in the output, locate the metric istio_requests_total
and verify it contains your new dimension.
Use expressions for values
The values in the metric configuration are common expressions, which means you must double-quote strings in JSON, e.g. “‘string value’”. Unlike Mixer expression language, there is no support for the pipe (|
) operator, but you can emulate it with the has
or in
operator, for example:
has(request.host) ? request.host : "unknown"
For more information, see Common Expression Language.
Istio exposes all standard Envoy attributes. Peer metadata is available as attributes upstream_peer
for outbound and downstream_peer
for inbound with the following fields:
Field | Type | Value |
---|---|---|
name | string | Name of the pod. |
namespace | string | Namespace that the pod runs in. |
labels | map | Workload labels. |
owner | string | Workload owner. |
workload_name | string | Workload name. |
platform_metadata | map | Platform metadata with prefixed keys. |
istio_version | string | Version identifier for the proxy. |
mesh_id | string | Unique identifier for the mesh. |
app_containers | list<string> | List of short names for application containers. |
cluster_id | string | Identifier for the cluster to which this workload belongs. |
For example, the expression for the peer app
label to be used in an outbound configuration is upstream_peer.labels['app'].value
.
For more information, see configuration reference.
See also
Classifying Metrics Based on Request or Response (Experimental)
This task shows you how to improve telemetry by grouping requests and responses by their type.
Collecting Metrics for TCP Services
This task shows you how to configure Istio to collect metrics for TCP services.
Querying Metrics from Prometheus
This task shows you how to query for Istio Metrics using Prometheus.
Reworking our Addon Integrations
A new way to manage installation of telemetry addons.
Improving availability and reducing latency.
Provides an overview of Mixer’s plug-in architecture.