dbuchko/weatherforecast-steeltoe

Steeltoe steeltoe-demo Accelerator

A sample accelerator for Steeltoe.

This sample is based on the Weather Forecast RESTful API application made available from Microsoft.

The application also includes several Steeltoe features: management endpoints, dynamic logging, and distributed tracing.

The starting source for this sample was created using:

$ dotnet new steeltoe-webapi --logging-dynamic-logger --management-endpoints --distributed-tracing

Running the app locally

To run the sample application:

$ dotnet run

For more details on Steeltoe endpoints, visit https://docs.steeltoe.io/.

Deploying to Kubernetes as a TAP workload with Tanzu CLI

NOTE: The provided config/workload.yaml file uses the Git URL for this sample. When you want to modify the source, you must push the code to your own Git repository and then update the spec.source.git information in the config/workload.yaml file. If you make modifications to the source, push these changes to your own Git repository.

When you are done developing your app, you can simply deploy it using:

tanzu apps workload apply -f config/workload.yaml

If you would like deploy the code from your local working directory you can use the following command:

tanzu apps workload create weatherforecast-steeltoe -f config/workload.yaml \
  --local-path . \
  --source-image <REPOSITORY-PREFIX>/weatherforecast-steeltoe-source \
  --type web

Accessing the app deployed to your cluster

Determine the URL to use for the accessing the app by running:

tanzu apps workload get weatherforecast-steeltoe

To access the deployed app use the URL shown under "Workload Knative Services" and append the endpoint /weatherforecast to that URL.

This depends on the TAP installation having DNS configured for the Knative ingress.

Deploying to Cloud Foundry

Publish the application locally using the .NET cli. The following command will create a publish folder automatically:

dotnet publish -o publish steeltoe-demo.csproj

Push the app to Cloud Foundry:

cf push weatherforecast-steeltoe -p ./publish --random-route

Accessing the app deployed to your cluster

Determine the URL to use for accessing the app by running:

cf apps

To access the deployed app use the URL shown under "routes" and append the endpoint /weatherforecast to that URL.