Troubleshooting Guide

Oh no! You’re having trouble? Below is a list of solutions to common problems.

No traces appearing in Zipkin when running Istio locally on Mac

Istio is installed and everything seems to be working except there are no traces showing up in Zipkin when there should be.

This may be caused by a known Docker issue where the time inside containers may skew significantly from the time on the host machine. If this is the case, when you select a very long date range in Zipkin you will see the traces appearing as much as several days too early.

You can also confirm this problem by comparing the date inside a docker container to outside:

docker run --entrypoint date gcr.io/istio-testing/ubuntu-16-04-slave:latest
Sun Jun 11 11:44:18 UTC 2017
date -u
Thu Jun 15 02:25:42 UTC 2017

To fix the problem, you’ll need to shutdown and then restart Docker before reinstalling Istio.

Envoy won’t connect to my HTTP/1.0 service

Envoy requires HTTP/1.1 or HTTP/2 traffic for upstream services. For example, when using NGINX for serving traffic behind Envoy, you will need to set the proxy_http_version directive in your NGINX config to be “1.1”, since the NGINX default is 1.0

Example config:

upstream http_backend {
    server 127.0.0.1:8080;

    keepalive 16;
}

server {
    ...

    location /http/ {
        proxy_pass http://http_backend;
        proxy_http_version 1.1;
        proxy_set_header Connection "";
        ...
    }
}

No grafana output when connecting from a local web client to Istio remotely hosted

Validate the client and server date and time match.

The time of the web client (e.g. Chrome) affects the output from Grafana. A simple solution to this problem is to verify a time synchronization service is running correctly within the Kubernetes cluster and the web client machine also is correctly using a time synchronization service. Some common time synchronization systems are NTP and Chrony. This is especially problematic is engineering labs with firewalls. In these scenarios, NTP may not be configured properly to point at the lab-based NTP services.

Where are the metrics for my service?

The expected flow of metrics is:

  1. Envoy reports attributes to Mixer in batch (asynchronously from requests)
  2. Mixer translates the attributes from Mixer into instances based on operator-provided configuration.
  3. The instances are handed to Mixer adapters for processing and backend storage.
  4. The backend storage systems record metrics data.

The default installations of Mixer ship with a Prometheus adapter, as well as configuration for generating a basic set of metric values and sending them to the Prometheus adapter. The Prometheus add-on also supplies configuration for an instance of Prometheus to scrape Mixer for metrics.

If you do not see the expected metrics in the Istio Dashboard and/or via Prometheus queries, there may be an issue at any of the steps in the flow listed above. Below is a set of instructions to troubleshoot each of those steps.

Verify Mixer is receiving Report calls

Mixer generates metrics for monitoring the behavior of Mixer itself. Check these metrics.

  1. Establish a connection to the Mixer self-monitoring endpoint.

    In Kubernetes environments, execute the following command:

    kubectl -n istio-system port-forward <mixer pod> 9093 &
    
  2. Verify successful report calls.

    On the Mixer self-monitoring endpoint, search for grpc_server_handled_total.

    You should see something like:

    grpc_server_handled_total{grpc_code="OK",grpc_method="Report",grpc_service="istio.mixer.v1.Mixer",grpc_type="unary"} 68
    

If you do not see any data for grpc_server_handled_total with a grpc_method="Report", then Mixer is not being called by Envoy to report telemetry. In this case, ensure that the services have been properly integrated into the mesh (either by via automatic or manual sidecar injection).

Verify Mixer metrics configuration exists

  1. Verify Mixer rules exist.

    In Kubernetes environments, issue the following command:

    kubectl get rules --all-namespaces
    

    With the default configuration, you should see something like:

    NAMESPACE      NAME        KIND
    istio-system   promhttp    rule.v1alpha2.config.istio.io
    istio-system   promtcp     rule.v1alpha2.config.istio.io
    istio-system   stdio       rule.v1alpha2.config.istio.io
    

    If you do not see anything named promhttp or promtcp, then there is no Mixer configuration for sending metric instances to a Prometheus adapter. You will need to supply configuration for rules that connect Mixer metric instances to a Prometheus handler.

  2. Verify Prometheus handler config exists.

    In Kubernetes environments, issue the following command:

    kubectl get prometheuses.config.istio.io --all-namespaces
    

    The expected output is:

    NAMESPACE      NAME           KIND
    istio-system   handler        prometheus.v1alpha2.config.istio.io
    

    If there are no prometheus handlers configured, you will need to reconfigure Mixer with the appropriate handler configuration.

  3. Verify Mixer metric instances config exists.

    In Kubernetes environments, issue the following command:

    kubectl get metrics.config.istio.io --all-namespaces
    

    The expected output is:

    NAMESPACE      NAME                         KIND
    istio-system   requestcount                 metric.v1alpha2.config.istio.io
    istio-system   requestduration              metric.v1alpha2.config.istio.io
    istio-system   requestsize                  metric.v1alpha2.config.istio.io
    istio-system   responsesize                 metric.v1alpha2.config.istio.io
    istio-system   stackdriverrequestcount      metric.v1alpha2.config.istio.io
    istio-system   stackdriverrequestduration   metric.v1alpha2.config.istio.io
    istio-system   stackdriverrequestsize       metric.v1alpha2.config.istio.io
    istio-system   stackdriverresponsesize      metric.v1alpha2.config.istio.io
    istio-system   tcpbytereceived              metric.v1alpha2.config.istio.io
    istio-system   tcpbytesent                  metric.v1alpha2.config.istio.io
    

    If there are no metric instances configured, you will need to reconfigure Mixer with the appropriate instance configuration.

  4. Verify Mixer configuration resolution is working for your service.

    1. Establish a connection to the Mixer self-monitoring endpoint.

      Setup a port-forward to the Mixer self-monitoring port as described in Verify Mixer is receiving Report calls.

    2. On the Mixer self-monitoring port, search for mixer_config_resolve_count.

      You should find something like:

      mixer_config_resolve_count{error="false",target="details.default.svc.cluster.local"} 56
      mixer_config_resolve_count{error="false",target="ingress.istio-system.svc.cluster.local"} 67
      mixer_config_resolve_count{error="false",target="mongodb.default.svc.cluster.local"} 18
      mixer_config_resolve_count{error="false",target="productpage.default.svc.cluster.local"} 59
      mixer_config_resolve_count{error="false",target="ratings.default.svc.cluster.local"} 26
      mixer_config_resolve_count{error="false",target="reviews.default.svc.cluster.local"} 54
      
    3. Validate that there are values for mixer_config_resolve_count where target="<your service>" and error="false".

      If there are only instances where error="true" where target=<your service>, there is likely an issue with Mixer configuration for your service. Logs information is needed to further debug.

      In Kubernetes environments, retrieve the Mixer logs via:

      kubectl -n istio-system logs <mixer pod> mixer
      

      Look for errors related to your configuration or your service in the returned logs.

More on viewing Mixer configuration can be found here

Verify Mixer is sending metric instances to the Prometheus adapter

  1. Establish a connection to the Mixer self-monitoring endpoint.

    Setup a port-forward to the Mixer self-monitoring port as described in Verify Mixer is receiving Report calls.

  2. On the Mixer self-monitoring port, search for mixer_adapter_dispatch_count.

    You should find something like:

    mixer_adapter_dispatch_count{adapter="prometheus",error="false",handler="handler.prometheus.istio-system",meshFunction="metric",response_code="OK"} 114
    mixer_adapter_dispatch_count{adapter="prometheus",error="true",handler="handler.prometheus.default",meshFunction="metric",response_code="INTERNAL"} 4
    mixer_adapter_dispatch_count{adapter="stdio",error="false",handler="handler.stdio.istio-system",meshFunction="logentry",response_code="OK"} 104
    
  3. Validate that there are values for mixer_adapter_dispatch_count where adapter="prometheus" and error="false".

    If there are are no recorded dispatches to the Prometheus adapter, there is likely a configuration issue. Please see Verify Mixer metrics configuration exists.

    If dispatches to the Prometheus adapter are reporting errors, check the Mixer logs to determine the source of the error. Most likely, there is a configuration issue for the handler listed in mixer_adapter_dispatch_count.

    In Kubernetes environment, check the Mixer logs via:

    kubectl -n istio-system logs <mixer pod> mixer
    

    Filter for lines including something like Report 0 returned with: INTERNAL (1 error occurred: (with some surrounding context) to find more information regarding Report dispatch failures.

Verify Prometheus configuration

  1. Connect to the Prometheus UI and verify that it can successfully scrape Mixer.

    In Kubernetes environments, setup port-forwarding as follows:

    kubectl -n istio-system port-forward $(kubectl -n istio-system get pod -l app=prometheus -o jsonpath='{.items[0].metadata.name}') 9090:9090 &
    
  2. Visit http://localhost:9090/config.

    Confirm that an entry exists that looks like:

    - job_name: 'istio-mesh'
      # Override the global default and scrape targets from this job every 5 seconds.
      scrape_interval: 5s
      # metrics_path defaults to '/metrics'
      # scheme defaults to 'http'.
      static_configs:
      - targets: ['istio-mixer.istio-system:42422']
    
  3. Visit http://localhost:9090/targets.

    Confirm that target istio-mesh has a status of UP.

How can I debug issues with the service mesh?

With GDB

To debug Istio with gdb, you will need to run the debug images of Envoy / Mixer / Pilot. A recent gdb and the golang extensions (for Mixer/Pilot or other golang components) is required.

  1. kubectl exec -it PODNAME -c [proxy | mixer | pilot]
  2. Find process ID: ps ax
  3. gdb -p PID binary
  4. For go: info goroutines, goroutine x bt

With Tcpdump

Tcpdump doesn’t work in the sidecar pod - the container doesn’t run as root. However any other container in the same pod will see all the packets, since the network namespace is shared. iptables will also see the pod-wide config.

Communication between Envoy and the app happens on 127.0.0.1, and is not encrypted.

Envoy is crashing under load

Check your ulimit -a. Many systems have a 1024 open file descriptor limit by default which will cause Envoy to assert and crash with:

[2017-05-17 03:00:52.735][14236][critical][assert] assert failure: fd_ != -1: external/envoy/source/common/network/connection_impl.cc:58

Make sure to raise your ulimit. Example: ulimit -n 16384

Headless TCP Services Losing Connection from Istiofied Containers

If istio-ca is deployed, Envoy is restarted every 15 minutes to refresh certificates. This causes the disconnection of TCP streams or long-running connections between services.

You should build resilience into your application for this type of disconnect, but if you still want to prevent the disconnects from happening, you will need to disable mTLS and the istio-ca deployment.

First, edit your istio config to disable mTLS

# comment out or uncomment out authPolicy: MUTUAL_TLS to toggle mTLS and then
kubectl edit configmap -n istio-system istio

# restart pilot and wait a few minutes
kubectl delete pods -n istio-system -l istio=pilot

Next, scale down the istio-ca deployment to disable Envoy restarts.

kubectl scale --replicas=0 deploy/istio-ca -n istio-system

This should stop istio from restarting Envoy and disconnecting TCP connections.