Tye is a tool that makes developing, testing, and deploying microservices and distributed applications easier. Project Tye includes a local orchestrator to make developing microservices easier and the ability to deploy microservices to Kubernetes with min
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Adding redis to an application

This tutorial assumes that you have completed the Frontend Backend Run Sample and Frontend Backend Deploy Sample.

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. To create a tye manifest from the solution file.

    tye init microservice.sln
    

    This will create a manifest called tye.yaml with the following contents:

     name: microservice
     services:
     - name: frontend
         project: frontend\frontend.csproj
     - name: backend
         project: backend\backend.csproj
    

    This will be the source of truth for tye execution from now on. To see a full schema of file, see the reference in the schema reference.

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

    [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(15)
            });
        }
        return weather;
    }
    

    This will store the weather data in Redis with an expiration time of 15 seconds.

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

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

    public void ConfigureServices(IServiceCollection services)
    {
        services.AddControllers();
    
        services.AddStackExchangeRedisCache(o =>
        {
             var connectionString = Configuration["connectionstring:redis"];
             if (connectionString != null)
             {
                 o.Configuration = connectionString;
             }
             else
             {
                 o.Configuration = $"{Configuration["service:redis:host"]}:{Configuration["service:redis:port"]}";
             }
         });
    }
    

    The above configures redis to use the host and port for the redis service injected by the tye host.

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

     name: microservice
     services:
     - name: backend
         project: backend\backend.csproj
     - name: frontend
         project: frontend\frontend.csproj
     - name: redis
         dockerImage: redis
         bindings:
         - port: 6379
     - name: redis-cli
         dockerImage: redis
         args: "redis-cli -h host.docker.internal 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.

  6. Run the tye command line in the solution root

    tye run
    

    Navigate to http://localhost:8000 to see the dashboard running. Now you will see both redis and the redis-cli running. 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 15 seconds, so if you wait that long and refresh again, you should see new data. You can also look at the redis-cli logs 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:

    kubectl apply -f https://raw.githubusercontent.com/dotnet/tye/d79f790ba13791c1964ed03c31da0cd12b101f39/docs/yaml/redis.yaml?token=AB7K4FLEULBCQQU6NLXZEDC6OPIU4
    

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

    kubectl get deployments
    

    You will see redis deployed and running.

  2. Deploy to Kubernetes

    Next, deploy the rest of the application by running.

    tye deploy
    
  3. Test it out!

    You should now see three pods running after deploying.

    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