Skip to content

Adding redis to an application

This tutorial assumes that you have completed the first step (run locally) and second step (deploy).

We just showed how tye makes it easier to communicate between 2 applications running locally but what happens if we want to use redis to store weather information?

Tye can use docker to run images that run as part of your application. If you haven't already, make sure docker is installed on your operating system (install docker) .

  1. Change the WeatherForecastController.Get() method in the backend project to cache the weather information in redis using an IDistributedCache.

    Add the following using's to the top of the file:

    C#
    using Microsoft.Extensions.Caching.Distributed;
    using System.Text.Json;

    And update Get():

    C#
    [HttpGet]
    public async Task<string> Get([FromServices]IDistributedCache cache)
    {
        var weather = await cache.GetStringAsync("weather");
    
        if (weather == null)
        {
            var rng = new Random();
            var forecasts = Enumerable.Range(1, 5).Select(index => new WeatherForecast
            {
                Date = DateTime.Now.AddDays(index),
                TemperatureC = rng.Next(-20, 55),
                Summary = Summaries[rng.Next(Summaries.Length)]
            })
            .ToArray();
    
            weather = JsonSerializer.Serialize(forecasts);
    
            await cache.SetStringAsync("weather", weather, new DistributedCacheEntryOptions
            {
                AbsoluteExpirationRelativeToNow = TimeSpan.FromSeconds(5)
            });
        }
        return weather;
    }

    This will store the weather data in Redis with an expiration time of 5 seconds.

  2. Add a package reference to Microsoft.Extensions.Caching.StackExchangeRedis in the backend project:

    dotnet add backend/backend.csproj package Microsoft.Extensions.Caching.StackExchangeRedis
  3. Modify Startup.ConfigureServices in the backend project to add the redis IDistributedCache implementation.

    C#
    public void ConfigureServices(IServiceCollection services)
    {
        services.AddControllers();
    
        services.AddStackExchangeRedisCache(o =>
        {
             o.Configuration = Configuration.GetConnectionString("redis");
        });
    }

    The above configures redis to the configuration string for the redis service injected by the tye host.

  4. Modify tye.yaml to include redis as a dependency.

    💡 You should have already created tye.yaml in a previous step near the end of the deployment tutorial.

    yaml
    name: microservice
    registry: <registry_name>
    services:
    - name: backend
      project: backend\backend.csproj
    - name: frontend
      project: frontend\frontend.csproj
    - name: redis
      image: redis
      bindings:
      - port: 6379
        connectionString: "${host}:${port}"
    - name: redis-cli
      image: redis
      args: "redis-cli -h redis MONITOR"

    We've added 2 services to the tye.yaml file. The redis service itself and a redis-cli service that we will use to watch the data being sent to and retrieved from redis.

    💡 The "${host}:${port}" format in the connectionString property will substitute the values of the host and port number to produce a connection string that can be used with StackExchange.Redis.

  5. Run the tye run command

    tye run

    Navigate to http://localhost:8000 to see the dashboard running. Now you will see both redis and the redis-cli running listed in the dashboard.

    Navigate to the frontend application and verify that the data returned is the same after refreshing the page multiple times. New content will be loaded every 5 seconds, so if you wait that long and refresh again, you should see new data. You can also look at the redis-cli logs using the dashboard and see what data is being cached in redis.

Deploying redis

  1. Deploy redis to Kubernetes

    tye deploy will not deploy the redis configuration, so you need to deploy it first. Run:

    text
    kubectl apply -f https://raw.githubusercontent.com/dotnet/tye/main/docs/tutorials/hello-tye/redis.yaml

    This will create a deployment and service for redis. You can see that by running:

    text
    kubectl get deployments

    You will see redis deployed and running.

  2. Deploy to Kubernetes

    Next, deploy the rest of the application by running:

    text
    tye deploy --interactive

    You'll be prompted for the connection string for redis.

    text
    Validating Secrets...
        Enter the connection string to use for service 'redis':

    Enter the following to use instance that you just deployed:

    text
    redis:6379

    tye deploy will create kubernetes secret to store the connection string.

    text
    Validating Secrets...
        Enter the connection string to use for service 'redis': redis:6379
        Created secret 'binding-production-redis-secret'.

    --interactive is needed here to create the secret. This is a one-time configuration step. In a CI/CD scenario you would not want to have to specify connection strings over and over, deployment would rely on the existing configuration in the cluster.

    💡 Tye uses kubernetes secrets to store connection information about dependencies like redis that might live outside the cluster. Tye will automatically generate mappings between service names, binding names, and secret names.

  3. Test it out!

    You should now see three pods running after deploying.

    text
    kubectl get pods
    NAME                                             READY   STATUS    RESTARTS   AGE
    backend-ccfcd756f-xk2q9                          1/1     Running   0          85m
    frontend-84bbdf4f7d-6r5zp                        1/1     Running   0          85m
    redis-5f554bd8bd-rv26p                           1/1     Running   0          98m

    Just like last time, we'll need to port-forward to access the frontend from outside the cluster.

    text
    kubectl port-forward svc/frontend 5000:80

    Visit http://localhost:5000 to see the frontend working in kubernetes.

  4. Clean-up

    At this point, you may want to undeploy the application by running tye undeploy.

    Also clean up the Redis deployment and service by running

    text
    kubectl delete -f https://raw.githubusercontent.com/dotnet/tye/main/docs/tutorials/hello-tye/redis.yaml