Kubernetes deployment
We provide a OpenTelemetry Demo Helm chart to help deploy the demo to an existing Kubernetes cluster.
Helm must be installed to use the charts. Please refer to Helm’s documentation to get started.
Prerequisites
- Kubernetes 1.24+
- 6 GB of free RAM for the application
- Helm 3.14+ (for Helm installation method only)
Install using Helm (recommended)
Add OpenTelemetry Helm repository:
helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts
To install the chart with the release name my-otel-demo, run the following command:
helm install my-otel-demo open-telemetry/opentelemetry-demo
Note The OpenTelemetry Demo Helm chart version 0.11.0 or greater is required to perform all usage methods mentioned below.
Install using kubectl
The following command will install the demo application to your Kubernetes cluster.
kubectl apply --namespace otel-demo -f https://raw.githubusercontent.com/open-telemetry/opentelemetry-demo/main/kubernetes/opentelemetry-demo.yaml
Note These manifests are generated from the Helm chart and are provided for convenience. It is recommended to use the Helm chart for installation.
Use the Demo
The demo application will need the services exposed outside of the Kubernetes
cluster in order to use them. You can expose the services to your local system
using the kubectl port-forward
command or by configuring service types (ie:
LoadBalancer) with optionally deployed ingress resources.
Expose services using kubectl port-forward
To expose the frontendproxy service use the following command (replace
my-otel-demo
with your Helm chart release name accordingly):
kubectl port-forward svc/my-otel-demo-frontendproxy 8080:8080
Note:
kubectl port-forward
will proxy the port until the process terminates. You may need to create separate terminal sessions for each use ofkubectl port-forward
, and use Ctrl-C to terminate the process when done.
With the frontendproxy port-forward set up, you can access:
- Web store: http://localhost:8080/
- Grafana: http://localhost:8080/grafana/
- Load Generator UI: http://localhost:8080/loadgen/
- Jaeger UI: http://localhost:8080/jaeger/ui/
- Flagd configurator UI: http://localhost:8080/feature
Expose Demo components using service or ingress configurations
Note
We recommend that you use a values file when installing the Helm chart in order to specify additional configuration options.Configure ingress resources
Note Kubernetes clusters may not have the proper infrastructure components to enable LoadBalancer service types or ingress resources. Verify your cluster has the proper support before using these configuration options.
Each demo component (ie: frontendproxy) offers a way to have its Kubernetes
service type configured. By default, these will not be created, but you can
enable and configure them through the ingress
property of each component.
To configure the frontendproxy component to use an ingress resource you would specify the following in your values file:
components:
frontendProxy:
ingress:
enabled: true
annotations: {}
hosts:
- host: otel-demo.my-domain.com
paths:
- path: /
pathType: Prefix
port: 8080
Some ingress controllers require special annotations or service types. Refer to the documentation from your ingress controller for more information.
Configure service types
Each demo component (ie: frontendproxy) offers a way to have its Kubernetes
service type configured. By default, these will be ClusterIP
but you can
change each one using the service.type
property of each component.
To configure the frontendproxy component to use a LoadBalancer service type you would specify the following in your values file:
components:
frontendProxy:
service:
type: LoadBalancer
Configure browser telemetry
In order for spans from the browser to be properly collected, you will also need
to specify the location where the OpenTelemetry Collector is exposed. The
frontendproxy defines a route for the collector with a path prefix of
/otlp-http
. You can configure the collector endpoint by setting the following
environment variable on the frontend component:
components:
frontend:
envOverrides:
- name: PUBLIC_OTEL_EXPORTER_OTLP_TRACES_ENDPOINT
value: http://otel-demo.my-domain.com/otlp-http/v1/traces
Installation with a values file
To install the Helm chart with a custom my-values-file.yaml
values file use:
helm install my-otel-demo open-telemetry/opentelemetry-demo --values my-values-file.yaml
With the frontendproxy and Collector exposed, you can access the demo UI at the base path for the frontendproxy. Other demo components can be accessed at the following sub-paths:
- Web store:
/
(base) - Grafana:
/grafana
- Load Generator UI:
/loadgen/
(must include trailing slash) - Jaeger UI:
/jaeger/ui
Bring your own backend
Likely you want to use the web store as a demo application for an observability backend you already have (e.g. an existing instance of Jaeger, Zipkin, or one of the vendor of your choice.
The OpenTelemetry Collector’s configuration is exposed in the Helm chart. Any additions you do will be merged into the default configuration. You can use this to add your own exporters, and add them to the desired pipeline(s)
opentelemetry-collector:
config:
exporters:
otlphttp/example:
endpoint: <your-endpoint-url>
service:
pipelines:
traces:
exporters: [spanmetrics, otlphttp/example]
Note
When merging YAML values with Helm, objects are merged and arrays are replaced. Thespanmetrics
exporter must be
included in the array of exporters for the traces
pipeline if overridden. Not
including this exporter will result in an error.Vendor backends might require you to add additional parameters for authentication, please check their documentation. Some backends require different exporters, you may find them and their documentation available at opentelemetry-collector-contrib/exporter.
To install the Helm chart with a custom my-values-file.yaml
values file use:
helm install my-otel-demo open-telemetry/opentelemetry-demo --values my-values-file.yaml
Feedback
Cette page est-elle utile?
Thank you. Your feedback is appreciated!
Please let us know how we can improve this page. Your feedback is appreciated!