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Linkerd integration

Our Linkerd integration is a service mesh for Kubernetes. It makes running services easier and safer by giving you runtime debugging, observability, reliability, and security—all without requiring any changes to your code.

After setting up our Linkerd integration, you'll see a dashboard for your Linkerd metrics.

Install the infrastructure agent

To use the Linkerd integration, you need to also install the infrastructure agent on the same host. The infrastructure agent monitors the host itself, while the integration you'll install in the next step extends your monitoring with Linkerd-specific data.

Expose Linkerd metrics

  1. Use the following script to check all Linkerd pods:

    kubectl get pods -n <LINKERD_NAMESPACE>
    • Replace LINKERD_NAMESPACE with the actual namespace where your Linkerd pods are running.
  2. Next, make sure to send all metrics to Port 4191 for each Linkerd Pod:

    kubectl port-forward --address -n <LINKERD_NAMESPACE> <LINKERD_POD_NAME> 4191:4191 &
    • Replace LINKERD_NAMESPACE with the actual namespace where your Linkerd pods are running and LINKERD_POD_NAME with the actual name of each Linkerd pod.

Enable the Linkerd integration with nri-prometheus

To set up the Linkerd integration, follow these steps:

  1. Create a file named nri-prometheus-config.yml in the integrations directory:

    touch /etc/newrelic-infra/integrations.d/nri-prometheus-config.yml
  2. Add the following snippet to your nri-prometheus-config.yml file to enable the agent to capture Linkerd data:

    - name: nri-prometheus
    # When standalone is set to false nri-prometheus requires an infrastructure agent to work and send data. Defaults to true
    standalone: false
    # When running with infrastructure agent emitters will have to include infra-sdk
    emitters: infra-sdk
    # The name of your cluster. It's important to match other New Relic products to relate the data.
    cluster_name: "YOUR_DESIRED_CLUSTER_NAME"
    - description: Linkerd metrics list
    urls: ["http://<ip-address>:4191/metrics","http://<ip-address>:9090/metrics"]
    # tls_config:
    # ca_file_path: "/etc/etcd/etcd-client-ca.crt"
    # cert_file_path: "/etc/etcd/etcd-client.crt"
    # key_file_path: "/etc/etcd/etcd-client.key"
    # Whether the integration should run in verbose mode or not. Defaults to false
    verbose: false
    # Whether the integration should run in audit mode or not. Defaults to false.
    # Audit mode logs the uncompressed data sent to New Relic. Use this to log all data sent.
    # It does not include verbose mode. This can lead to a high log volume, use with care
    audit: false
    # The HTTP client timeout when fetching data from endpoints. Defaults to 30s.
    # scrape_timeout: "30s"
    # Length in time to distribute the scraping from the endpoints
    scrape_duration: "5s"
    # Number of worker threads used for scraping targets.
    # For large clusters with many (&gt;400) endpoints, slowly increase until scrape
    # time falls between the desired `scrape_duration`.
    # Increasing this value too much will result in huge memory consumption if too
    # many metrics are being scraped.
    # Default: 4
    # worker_threads: 4
    # Whether the integration should skip TLS verification or not. Defaults to false
    insecure_skip_verify: true
    timeout: 10s

Find your data

You can choose our pre-built dashboard template named Linkerd to monitor your Linkerd application metrics. Follow these steps to use our pre-built dashboard template:

  1. From one.newrelic.com, go to the + Integrations & Agents page.
  2. Click on Dashboards.
  3. In the search bar, type Linkerd.
  4. When the Linkerd dashboard option appears, click to install it.

Your Linkerd dashboard is considered a custom dashboard and can be found in the Dashboards UI. For docs on using and editing dashboards, see our dashboard docs.

Here is a NRQL query to check the Linkerd downstream total connections:

SELECT latest(process_virtual_memory_bytes)/(1024*1024) as 'Memory in MB' FROM Metric

What's next?

To learn more about building NRQL queries and generating dashboards, check out these docs:

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