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_1.6.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.

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.

Enable custom metrics

Edit the the EnvoyFilter to add or modify dimensions and metrics. Then, add annotations to all the Istio-enabled pods to extract the new or modified dimensions.

  1. Find the stats-filter-1.6 EnvoyFilter resource from the istio-system namespace, using the following command:

    1. $ kubectl -n istio-system get envoyfilter | grep ^stats-filter-1.6
    2. stats-filter-1.6 2d
  2. Create a local file system copy of the EnvoyFilter configuration, using the following command:

    1. $ kubectl -n istio-system get envoyfilter stats-filter-1.6 -o yaml > stats-filter-1.6.yaml
  3. Open stats-filter-1.6.yaml with a text editor and locate the envoy.wasm.stats extension configuration. The default configuration is in the configuration section and looks like this example:

    1. {
    2. "debug": "false",
    3. "stat_prefix": "istio"
    4. }
  4. Edit stats-filter-1.6.yaml and modify the configuration section for each instance of the extension configuration. For example, to add destination_port and request_host dimensions to the standard requests_total metric, change the configuration section to look like the following. Istio automatically prefixes all metric names with istio_, so omit the prefix from the name field in the metric specification.

    1. {
    2. "debug": "false",
    3. "stat_prefix": "istio",
    4. "metrics": [
    5. {
    6. "name": "requests_total",
    7. "dimensions": {
    8. "destination_port": "string(destination.port)",
    9. "request_host": "request.host"
    10. }
    11. }
    12. ]
    13. }
  5. Save stats-filter-1.6.yaml and then apply the configuration using the following command:

    1. $ kubectl -n istio-system apply -f stats-filter-1.6.yaml
  6. 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

    1. apiVersion: extensions/v1beta1
    2. kind: Deployment
    3. spec:
    4. template:
    5. metadata:
    6. annotations:
    7. sidecar.istio.io/extraStatTags: destination_port,request_host

Verify the results

Use the following command to verify that Istio generates the data for your new or modified dimensions:

  1. $ kubectl exec pod-name -c istio-proxy -- curl 'localhost:15000/stats/prometheus' | grep istio

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:

  1. has(request.host) ? request.host : "unknown"

For more information, see Common Expression Language.

Istio exposes all standard Envoy attributes. Additionally, you can use the following extra attributes.

AttributeTypeValue
listener_directionint64Enumeration value for listener direction
listener_metadatametadataPer-listener metadata
route_metadatametadataPer-route metadata
cluster_metadatametadataPer-cluster metadata
nodenodeNode description
cluster_namestringUpstream cluster name
route_namestringRoute name
filter_statemap[string, bytes]Per-filter state blob
plugin_namestringWasm extension name
plugin_root_idstringWasm root instance ID
plugin_vm_idstringWasm VM ID

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 With Mixer

This task shows you how to configure Istio’s Mixer to collect and customize metrics.

Collecting Metrics for TCP Services

This task shows you how to configure Istio to collect metrics for TCP services.

Collecting Metrics for TCP services with Mixer

This task shows you how to configure Istio’s Mixer to collect metrics for TCP services.

Querying Metrics from Prometheus

This task shows you how to query for Istio Metrics using Prometheus.

Mixer and the SPOF Myth

Improving availability and reducing latency.