Microservices Calculator

A microservices example using Dapr

This project uses the Dapr runtime to create a distributed calculator. The services are written in multiple languages including Go, Python, TS/JS, C#, and WAT. Frameworks used include Deno, Gorilla/mux, Flask, .NET, Rocket and React.

flowchart TD
  A{React Frontend} -- Addition --> B[Flask] --> C[Wasmer wasm module];
  A{React Frontend} -- Subtraction --> D[Deno];
  A{React Frontend} -- Multiplication --> E[Gorilla/mux];
  A{React Frontend} -- Division --> F[ASP.NET];
  A{React Frontend} -- POW --> G[Rocket.rs];

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Run Locally

Addition - Navigate to the python directory and follow the steps below

• Install required packages:

pip3 install wheel python-dotenv flask_cors flask wasmer wasmer_compiler_cranelift

• Run dapr using the command:

dapr run --app-id addapp --app-port 5555 --dapr-http-port 3501 -- flask run

Subtraction - Navigate to the deno directory and follow the steps below

• Run dapr using the command:

dapr run --app-id subtractapp --app-port 1447 --dapr-http-port 3502 -- deno run --allow-net app.ts

Multiply - Navigate to the go directory and follow the steps below

• install dependencies:

go mod tidy

• Build the app

go build multiply.go

• Run dapr using the command:

dapr run --app-id multiplyapp --app-port 7286 --dapr-http-port 3503 -- ./multiply

Divide - Navigate to the csharp directory and follow the steps below

• Build the app. Run:

dotnet build

• Start Dapr using the following command:

dapr run --app-id divideapp --app-port 8889 --dapr-http-port 3509 -- dotnet bin/Debug/net6.0/csharp.dll

POW - Navigate to the rust directory and follow the steps below

• Build the app. Run:

cargo build --release

• Start dapr using the command:

dapr run --app-id exponentapp --app-port 8008 --dapr-http-port 3505 -- ./target/release/rust

Frontend Calculator app - navigate to the react-calculator directory and follow the steps below

• Install the required modules

npm install
npm run buildclient

• Start Dapr using the command below

dapr run --app-id frontendapp --app-port 8080 --dapr-http-port 3500 -- node server.js

Lastly, open a browser window and go to http://localhost:8080/.