# Installing Logging, Metrics, and Traces If you followed one of the [comprehensive install guides](../install/README.md#install-guides) or you performed a custom installation and included the `monitoring.yaml` file in your installation, all of the observability features are already installed and you can skip down to the [Create Elasticsearch Indices](#create-elasticsearch-indices) section. If you have not yet installed any observability plugins, continue to the next sections to do so now. ## Metrics 1. Run the following command to install Prometheus and Grafana: ```shell kubectl apply --filename https://github.com/knative/serving/releases/download/v0.3.0/monitoring-metrics-prometheus.yaml ``` 1. Ensure that the `grafana-*`, `kibana-logging-*`, `kube-state-metrics-*`, `node-exporter-*` and `prometheus-system-*` pods all report a `Running` status: ```shell kubectl get pods --namespace knative-monitoring --watch ``` For example: ```text NAME READY STATUS RESTARTS AGE grafana-798cf569ff-v4q74 1/1 Running 0 2d kibana-logging-7d474fbb45-6qb8x 1/1 Running 0 2d kube-state-metrics-75bd4f5b8b-8t2h2 4/4 Running 0 2d node-exporter-cr6bh 2/2 Running 0 2d node-exporter-mf6k7 2/2 Running 0 2d node-exporter-rhzr7 2/2 Running 0 2d prometheus-system-0 1/1 Running 0 2d prometheus-system-1 1/1 Running 0 2d ``` Tip: Hit CTRL+C to exit watch mode. [Accessing Metrics](./accessing-metrics.md) for more information about metrics in Knative. ## Logs Knative offers three different setups for collecting logs. Choose one to install: 1. [Elasticsearch and Kibana](#elasticsearch-and-kibana) 1. [Stackdriver](#stackdriver) 1. [Custom logging plugin](setting-up-a-logging-plugin.md) ### Elasticsearch and Kibana 1. Run the following command to install an ELK stack: ```shell kubectl apply --filename https://github.com/knative/serving/releases/download/v0.3.0/monitoring-logs-elasticsearch.yaml ``` 1. Ensure that the `elasticsearch-logging-*`, `fluentd-ds-*`, and `kibana-logging-*` pods all report a `Running` status: ```shell kubectl get pods --namespace knative-monitoring --watch ``` For example: ```text NAME READY STATUS RESTARTS AGE elasticsearch-logging-0 1/1 Running 0 2d elasticsearch-logging-1 1/1 Running 0 2d fluentd-ds-5kc85 1/1 Running 0 2d fluentd-ds-vhrcq 1/1 Running 0 2d fluentd-ds-xghk9 1/1 Running 0 2d kibana-logging-7d474fbb45-6qb8x 1/1 Running 0 2d ``` Tip: Hit CTRL+C to exit watch mode. 1. Verify that each of your nodes have the `beta.kubernetes.io/fluentd-ds-ready=true` label: ```shell kubectl get nodes --selector beta.kubernetes.io/fluentd-ds-ready=true ``` 1. If you receive the `No Resources Found` response: 1. Run the following command to ensure that the Fluentd DaemonSet runs on all your nodes: ```shell kubectl label nodes --all beta.kubernetes.io/fluentd-ds-ready="true" ``` 1. Run the following command to ensure that the `fluentd-ds` daemonset is ready on at least one node: ```shell kubectl get daemonset fluentd-ds --namespace knative-monitoring --watch ``` Tip: Hit CTRL+C to exit watch mode. 1. When the installation is complete and all the resources are running, you can continue to the next section and begin creating your Elasticsearch indices. #### Create Elasticsearch Indices To visualize logs with Kibana, you need to set which Elasticsearch indices to explore. - To open the Kibana UI (the visualization tool for [Elasticsearch](https://info.elastic.co)), you must start a local proxy by running the following command: ```shell kubectl proxy ``` This command starts a local proxy of Kibana on port 8001. For security reasons, the Kibana UI is exposed only within the cluster. - Navigate to the [Kibana UI](http://localhost:8001/api/v1/namespaces/knative-monitoring/services/kibana-logging/proxy/app/kibana). _It might take a couple of minutes for the proxy to work_. - Within the "Configure an index pattern" page, enter `logstash-*` to `Index pattern` and select `@timestamp` from `Time Filter field name` and click on `Create` button. ![Create logstash-* index](images/kibana-landing-page-configure-index.png) See [Accessing Logs](./accessing-logs.md) for more information about logs in Knative. ### Stackdriver To configure and setup monitoring: 1. Clone the Knative Serving repository: ```shell git clone https://github.com/knative/serving knative-serving cd knative-serving git checkout v0.3.0 ``` 1. Choose a container image that meets the [Fluentd image requirements](fluentd/README.md#requirements). For example, you can use a public image. Or you can create a custom one and upload the image to a container registry which your cluster has read access to. You must configure and build your own Fluentd image if either of the following are true: - Your Knative Serving component is not hosted on a Google Cloud Platform (GCP) based cluster. - You want to send logs to another GCP project. 1. Follow the instructions in ["Setting up a logging plugin"](setting-up-a-logging-plugin.md#Configuring) to configure the stackdriver components settings. 1. Install Knative Stackdriver components by running the following command from the root directory of [knative/serving](https://github.com/knative/serving) repository: ```shell kubectl apply --recursive --filename config/monitoring/100-namespace.yaml \ --filename third_party/config/monitoring/logging/stackdriver ``` 1. Ensure that the `fluentd-ds-*` pods all report a `Running` status: ```shell kubectl get pods --namespace knative-monitoring --watch ``` For example: ```text NAME READY STATUS RESTARTS AGE fluentd-ds-5kc85 1/1 Running 0 2d fluentd-ds-vhrcq 1/1 Running 0 2d fluentd-ds-xghk9 1/1 Running 0 2d ``` Tip: Hit CTRL+C to exit watch mode. 1. Verify that each of your nodes have the `beta.kubernetes.io/fluentd-ds-ready=true` label: ```shell kubectl get nodes --selector beta.kubernetes.io/fluentd-ds-ready=true ``` 1. If you receive the `No Resources Found` response: 1. Run the following command to ensure that the Fluentd DaemonSet runs on all your nodes: ```shell kubectl label nodes --all beta.kubernetes.io/fluentd-ds-ready="true" ``` 1. Run the following command to ensure that the `fluentd-ds` daemonset is ready on at least one node: ```shell kubectl get daemonset fluentd-ds --namespace knative-monitoring ``` See [Accessing Logs](./accessing-logs.md) for more information about logs in Knative. ## End to end traces - If Elasticsearch is not installed or if you don't want to persist end to end traces, run: ```shell kubectl apply --filename https://github.com/knative/serving/releases/download/v0.3.0/monitoring-tracing-zipkin-in-mem.yaml ``` - If Elasticsearch is installed and you want to persist end to end traces, first run: ```shell kubectl apply --filename https://github.com/knative/serving/releases/download/v0.3.0/monitoring-tracing-zipkin.yaml ``` Next, create an Elasticsearch index for end to end traces: - Open Kibana UI as described in [Create Elasticsearch Indices](#create-elasticsearch-indices) section. - Select `Create Index Pattern` button on top left of the page. Enter `zipkin*` to `Index pattern` and select `timestamp_millis` from `Time Filter field name` and click on `Create` button. Visit [Accessing Traces](./accessing-traces.md) for more information on end to end traces. ## Learn More - Learn more about accessing logs, metrics, and traces: - [Accessing Logs](./accessing-logs.md) - [Accessing Metrics](./accessing-metrics.md) - [Accessing Traces](./accessing-traces.md) --- Except as otherwise noted, the content of this page is licensed under the [Creative Commons Attribution 4.0 License](https://creativecommons.org/licenses/by/4.0/), and code samples are licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).