Observability Problems
Expected metrics are not being collected
The following procedure helps you diagnose problems where metrics you are expecting to see reported are not being collected.
The expected flow for metrics is:
Envoy reports attributes from requests asynchronously to Mixer in a batch.
Mixer translates the attributes into instances based on the operator-provided configuration.
Mixer hands the instances to Mixer adapters for processing and backend storage.
The backend storage systems record the metrics data.
The Mixer default installations include a Prometheus adapter and the configuration to generate a default set of metric values and send them to the Prometheus adapter. The Prometheus adapter configuration enables a Prometheus instance to scrape Mixer for metrics.
If the Istio Dashboard or the Prometheus queries don’t show the expected metrics, any step of the flow above may present an issue. The following sections provide instructions to troubleshoot each step.
Verify Istio CNI pods are running (if used)
The Istio CNI plugin performs the Istio mesh pod traffic redirection in the Kubernetes pod lifecycle’s network setup phase, thereby removing the NET_ADMIN
capability requirement for users deploying pods into the Istio mesh. The Istio CNI plugin replaces the functionality provided by the istio-init
container.
Verify that the
istio-cni-node
pods are running:$ kubectl -n kube-system get pod -l k8s-app=istio-cni-node
If
PodSecurityPolicy
is being enforced in your cluster, ensure theistio-cni
service account can use aPodSecurityPolicy
with theNET_ADMIN
capability requirementVerify Mixer is receiving report calls
Mixer generates metrics to monitor its own behavior. The first step is to check these metrics:
Establish a connection to the Mixer self-monitoring endpoint for the
istio-telemetry
deployment. In Kubernetes environments, execute the following command:$ kubectl -n istio-system port-forward <istio-telemetry pod> 15014 &
Verify successful report calls. On the Mixer self-monitoring endpoint (
http://localhost:15014/metrics
), search forgrpc_io_server_completed_rpcs
. You should see something like:grpc_io_server_completed_rpcs{grpc_server_method="istio.mixer.v1.Mixer/Report",grpc_server_status="OK"} 2532
If you do not see any data for
grpc_io_server_completed_rpcs
with agrpc_server_method="istio.mixer.v1.Mixer/Report"
, then Envoy is not calling Mixer to report telemetry.In this case, ensure you integrated the services properly into the mesh. You can achieve this task with either automatic or manual sidecar injection.
Verify the Mixer rules exist
In Kubernetes environments, issue the following command:
$ kubectl get rules --all-namespaces
NAMESPACE NAME AGE
istio-system kubeattrgenrulerule 4h
istio-system promhttp 4h
istio-system promtcp 4h
istio-system promtcpconnectionclosed 4h
istio-system promtcpconnectionopen 4h
istio-system tcpkubeattrgenrulerule 4h
If the output shows no rules named promhttp
or promtcp
, then the Mixer configuration for sending metric instances to the Prometheus adapter is missing. You must supply the configuration for rules connecting the Mixer metric instances to a Prometheus handler.
For reference, please consult the default rules for Prometheus.
Verify the Prometheus handler configuration exists
In Kubernetes environments, issue the following command:
$ kubectl get handlers.config.istio.io --all-namespaces NAMESPACE NAME AGE istio-system kubernetesenv 4h istio-system prometheus 4h
If you’re upgrading from Istio 1.1 or earlier, issue the following command instead:
$ kubectl get prometheuses.config.istio.io --all-namespaces NAMESPACE NAME AGE istio-system handler 13d
If the output shows no configured Prometheus handlers, you must reconfigure Mixer with the appropriate handler configuration.
For reference, please consult the default handler configuration for Prometheus.
Verify Mixer metric instances configuration exists
In Kubernetes environments, issue the following command:
$ kubectl get instances -o custom-columns=NAME:.metadata.name,TEMPLATE:.spec.compiledTemplate --all-namespaces
If you’re upgrading from Istio 1.1 or earlier, issue the following command instead:
$ kubectl get metrics.config.istio.io --all-namespaces
If the output shows no configured metric instances, you must reconfigure Mixer with the appropriate instance configuration.
For reference, please consult the default instances configuration for metrics.
Verify there are no known configuration errors
To establish a connection to the Istio-telemetry self-monitoring endpoint, setup a port-forward to the Istio-telemetry self-monitoring port as described in Verify Mixer is receiving Report calls.
For each of the following metrics, verify that the most up-to-date value is 0:
mixer_config_adapter_info_config_errors_total
mixer_config_template_config_errors_total
mixer_config_instance_config_errors_total
mixer_config_rule_config_errors_total
mixer_config_rule_config_match_error_total
mixer_config_unsatisfied_action_handler_total
mixer_config_handler_validation_error_total
mixer_handler_handler_build_failures_total
On the page showing Mixer self-monitoring port, search for each of the metrics listed above. You should not find any values for those metrics if everything is configured correctly.
If any of those metrics have a value, confirm that the metric value with the largest configuration ID is 0. This will verify that Mixer has generated no errors in processing the most recent configuration as supplied.
Verify Mixer is sending metric instances to the Prometheus adapter
Establish a connection to the
istio-telemetry
self-monitoring endpoint. Setup a port-forward to theistio-telemetry
self-monitoring port as described in Verify Mixer is receiving Report calls.On the Mixer self-monitoring port, search for
mixer_runtime_dispatches_total
. The output should be similar to:mixer_runtime_dispatches_total{adapter="prometheus",error="false",handler="prometheus.istio-system",meshFunction="metric"} 2532
Confirm that
mixer_runtime_dispatches_total
is present with the values:adapter="prometheus" error="false"
If you can’t find recorded dispatches to the Prometheus adapter, there is likely a configuration issue. Please follow the steps above to ensure everything is configured properly.
If the dispatches to the Prometheus adapter report errors, check the Mixer logs to determine the source of the error. The most likely cause is a configuration issue for the handler listed in
mixer_runtime_dispatches_total
.Check the Mixer logs in a Kubernetes environment with:
$ kubectl -n istio-system logs <istio-telemetry pod> -c mixer
Verify Prometheus configuration
Connect to the Prometheus UI
Verify you can successfully scrape Mixer through the UI.
In Kubernetes environments, setup port-forwarding with:
$ istioctl dashboard prometheus
In the Prometheus browser window, select Status then Targets.
Confirm the target
istio-mesh
has a status of UP.In the Prometheus browser window, select Status then Configuration.
Confirm an entry exists similar to:
- 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']</td>
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.
Missing Grafana output
If you’re unable to get Grafana output when connecting from a local web client to Istio remotely hosted, you should 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 in engineering labs with firewalls. In these scenarios, NTP may not be configured properly to point at the lab-based NTP services.