Customization options

Bring your own Prometheus link

The built-in Prometheus server is the recommended approach for scraping metrics from Gloo components and feeding them to the Gloo UI Graph to visualize workload communication. When you enable the built-in Prometheus during your installation, it is set up with a custom scraping configuration that ensures that only a minimum set of metrics and metric labels are collected.

However, the Prometheus pod is not set up with persistent storage and metrics are lost when the pod restarts or when the deployment is scaled down. Additionally, you might want to replace the built-in Prometheus server and use your organization’s own Prometheus-compatible solution or time series database that is hardened for production and integrates with other applications that might exist outside the cluster where your API Gateway runs. Review the options that you have for bringing your own Prometheus server.

Forward metrics to the built-in Prometheus in OpenShift link

OpenShift comes with built-in Prometheus instances that you can use to monitor metrics for your workloads. Instead of using the built-in Prometheus that Gloo Mesh Enterprise provides, you might want to forward the metrics from the telemetry gateway and collector agents to the OpenShift Prometheus to have a single observability layer for all of your workloads in the cluster.

For more information, see Forward metrics to OpenShift.

Replace the built-in Prometheus with your own link

If you have an existing Prometheus instance that you want to use in place of the built-in Prometheus server, you configure Gloo Mesh Enterprise to disable the built-in Prometheus instance and to use your production Prometheus instance instead. This setup is a reasonable approach if you want to scrape raw Istio metrics to collect them in your production Prometheus instance. However, you cannot control the number of metrics that you collect, or federate and aggregate the metrics before you scrape them with your production Prometheus.

To query the metrics and compute results, you use the compute resources of the cluster where your production Prometheus instance runs. Note that depending on the number and complexity of the queries that you plan to run in your production Prometheus instance, especially if you use the instance to consolidate metrics of other apps as well, your production instance might get overloaded or start to respond more slowly.

Run another Prometheus instance alongside the built-in one link

You might want to run multiple Prometheus instances in your cluster that each capture metrics for certain components. For example, you might use the built-in Prometheus server in Gloo Mesh Enterprise to capture metrics for the Gloo components, and use a different Prometheus server for your own apps’ metrics. While this setup is supported, make sure that you check the scraping configuration for each of your Prometheus instances to prevent metrics from being scraped multiple times.

Remove high cardinality labels at creation time link

To reduce the amount of data that is collected, you can customize the Envoy filter in the Istio proxy deployment to modify how Istio metrics are recorded at creation time. With this setup, you can remove any unwanted cardinality labels before metrics are scraped by the built-in or your own custom Prometheus server.

1. Decide which context of the Istio Envoy filter you want to modify. Each Istio release includes an Envoy filter that is named stats-filter-<istio_version> and that defines how metrics are collected for a workload. Depending on whether you modify the Envoy filter directly or use the Istio Helm chart to configure the filter, you can choose between the following contexts:

   • SIDECAR_INBOUND or inboundSidecar: Used to collect metrics for traffic that is sent to a destination (reporter=destination).
   • SIDECAR_OUTBOUND or outboundSidecar: Used to collect metrics for traffic that leaves a microservice (reporter=source).
   • GATEWAY or gateway: Used to collect metrics for traffic that passes through the ingress gateway.

2. Decide on the metric labels you want to remove with your custom Envoy filter. To find an overview of metrics that are collected by default, see the Istio documentation. For an overview of labels that are collected, see Labels. You can start by looking at Istio histogram metrics, also referred to as distribution metrics. Histograms show the frequency distribution of data in a certain timeframe. While these metrics provide great insights and detail, they often come with lots of labels that lead to high cardinality.

3. Configure your Envoy filter to remove specific labels. To apply the same configuration across all of your Istio microservices, modify the filter in the Istio Helm chart. If you want to update the configuration for a particular workload only, you can patch the Envoy filter instead.

   To find the name of the metric that you need to use in your filter configuration, see Metrics. Note that you must remove the istio_ prefix from the metric name before you add it to your filter configuration. For example, if you want to customize the request size metric, use request_bytes. To find an overview of available labels that you can remove, see Labels. Note that this page lists the labels with their actual names and not as the value that you need to provide in the Envoy filter or Helm chart. To find the corresponding label name value, refer to the Istio bootstrap config for your release.

   • Istio Helm chart: Upgrade your Helm installation and add the Envoy filter configuration.

       helm --kube-context=${CLUSTER1} upgrade --install istio ./istio-/manifests/charts/istio-control/istio-discovery -n istio-system --values - <<EOF
     global:
       ...
     meshConfig:
       ...
     pilot:
       ...
     telemetry:
       v2:
         prometheus:
           configOverride:
             outboundSidecar:
               metrics:
               - name: request_bytes
                 tags_to_remove:
                 - destination_service
                 - response_flags
               - name: response_bytes
                 tags_to_remove:
                 - destination_service
                 - response_flags
             inboundSidecar:
               disable_host_header_fallback: true
               metrics:
               - name: request_bytes
                 tags_to_remove:
                 - destination_service
                 - response_flags
               - name: response_bytes
                 tags_to_remove:
                 - destination_service
                 - response_flags
             gateway:
               disable_host_header_fallback: true
               metrics:
               - name: request_bytes
                 tags_to_remove:
                 - destination_service
                 - response_flags
               - name: response_bytes
                 tags_to_remove:
                 - destination_service
                 - response_flags
     EOF
       

   • Manually patch Envoy config: In the following example, the Envoy filter for the productpage service from the Istio Bookinfo app is modified. All other workloads in the cluster continue to use the default Istio Envoy configuration. Note that this example is specific to Istio version 1.14. If you use a different Istio version, refer to the Istio Envoy documentation.

       apiVersion: networking.istio.io/v1alpha3
     kind: EnvoyFilter
     metadata:
       name: stats-filter-1.14-productpage
       namespace: bookinfo-frontends
     spec:
       workloadSelector:
         labels:
           app: productpage
           version: v1
       configPatches:
       - applyTo: HTTP_FILTER
         match:
           context: SIDECAR_OUTBOUND
           listener:
             filterChain:
               filter:
                 name: envoy.filters.network.http_connection_manager
                 subFilter:
                   name: envoy.filters.http.router
           proxy:
             proxyVersion: ^1\.14.*
         patch:
           operation: INSERT_BEFORE
           value:
             name: istio.stats
             typed_config:
               '@type': type.googleapis.com/udpa.type.v1.TypedStruct
               type_url: type.googleapis.com/envoy.extensions.filters.http.wasm.v3.Wasm
               value:
                 config:
                   configuration:
                     '@type': type.googleapis.com/google.protobuf.StringValue
                     value: |
                       {"metrics":[{"name":"request_bytes","tags_to_remove":["destination_service","response_flags"]},{"name":"response_bytes","tags_to_remove":["destination_service","response_flags"]}]}
                   root_id: stats_outbound
                   vm_config:
                     code:
                       local:
                         inline_string: envoy.wasm.stats
                     runtime: envoy.wasm.runtime.null
                     vm_id: stats_outbound
       - applyTo: HTTP_FILTER
         match:
           context: SIDECAR_INBOUND
           listener:
             filterChain:
               filter:
                 name: envoy.filters.network.http_connection_manager
                 subFilter:
                   name: envoy.filters.http.router
           proxy:
             proxyVersion: ^1\.14.*
         patch:
           operation: INSERT_BEFORE
           value:
             name: istio.stats
             typed_config:
               '@type': type.googleapis.com/udpa.type.v1.TypedStruct
               type_url: type.googleapis.com/envoy.extensions.filters.http.wasm.v3.Wasm
               value:
                 config:
                   configuration:
                     '@type': type.googleapis.com/google.protobuf.StringValue
                     value: |
                       {"disable_host_header_fallback":true,"metrics":[{"name":"request_bytes","tags_to_remove":["destination_service","response_flags"]},{"name":"response_bytes","tags_to_remove":["destination_service","response_flags"]}]}
                   root_id: stats_inbound
                   vm_config:
                     code:
                       local:
                         inline_string: envoy.wasm.stats
                     runtime: envoy.wasm.runtime.null
                     vm_id: stats_inbound