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Build an API Gateway with NestJs in 10 minutes

Build an API Gateway with NestJs in 10 minutes

This article's intention is to give you a broader perspective into the Microservices architecture. There are many people out there, claiming they have a Microservice oriented architecture, but they lack the core concepts on which this pattern relies. My goal is to write a set of articles looking to clear all the fog that appears when shifting from monolithic, to highly distributed, applications.

The Microservices world is full of interesting and incredibly hard to implement stuff. When you get started, you think that, by just dividing your app in multiple services, you are already there. Sadly, that's almost never true. It's more common than you think to see people building highly critical apps this way, without having in place all the core concepts.

In this article, I'm going to focus on the API Gateway pattern. If you are doing Microservice architecture you SHOULD know it pretty well, being that the case use of this article is to make sure you have clear knowledge on these concepts. If you are enterily new to Microservices, have fun, and enjoy the ride.

In traditional monolithic applications, API clients consume everything from the same location. Although, once you start using microservices, things start to change. You may have multiple services running on entirely different locations.

What API Gateway means

The non deterministic nature of microservice architecture lead us directly to a whole new mess. But what can you do about it? One of the approaches out there is the API Gateway. From a 10,000ft view, it's just an extra service that you put in front of your other services so you can do composition of services.

The Problem

Let's say you have an application that consists of multiple services. We want to have our services' locations hidden from clients, so we'll have a proxy service that has to be able to compose multiple requests.

The Solution

We'll be using NestJs. If you havent used it already, you know that it's pretty similar to Angular, and I think it's a clever way to enable frontend developers to do things on the backend as well. Anyway, it comes out with a CLI tool that allows code generation.

In case you need it

Assuming you know NestJs, or that you've read the articles I've just given you, let's go ahead and start coding. But before we start, you'll need to install the NestJs CLI globally by executing the command npm install -g @nestjs/cli.

Create the first service

In any microservices architecture, you'll find multiple services running, either in the same machine, or in totally distributed places. To start our small proof of concept, we'll create a service using the NestJs CLI. Just follow the next steps:

  1. Create a new folder, and go to it using your preferred command line tool.
  2. Execute nest new service-a. It will prompt you to choose between npm and yarn. I used npm.
  3. Delete the files src/app.controller.spec.ts and src/app.service.ts.
  4. Remove the AppService usages from the AppModule.
  5. Remove the AppService usages from theAppController.

The AppModule will end up looking like this:

// src/app.module.ts
import { Module } from "@nestjs/common";
import { AppController } from "./app.controller";

@Module({
  imports: [],
  controllers: [AppController],
  providers: []
})
export class AppModule {}

The AppController will end up looking like this:

import { Controller, Get } from "@nestjs/common";

@Controller()
export class AppController {
  @Get()
  getHello(): string {
    return "hello";
  }
}

You've got yourself your first service! Now is time to transform it into a microservice. Thankfully, NestJs covers a lot of it for you. By default, NestJs applications are generated as a server that uses HTTP as its transport layer. In the case of microservices, that's not what you want. When working with microservices, you are commonly using TCP instead.

If you are confused about HTTP or TCP, imagine they are just languages. A traditional Http Server talks in English, and a microservice using TCP talks in Spanish.

Since the service is structurally ready to be transformed to a microservice using NestJs, we'll do the next steps first:

  1. Go to the service folder using you preferred command line tool
  2. Execute the command npm i --save @nestjs/microservices
  3. Update the entry point of the service src/main.ts with the service configuration
  4. Update the AppController to use the Microservice Message pattern to serve clients

The entry point should end up looking like this:

import { NestFactory } from "@nestjs/core";
import { Transport } from "@nestjs/microservices";
import { AppModule } from "./app.module";
import { Logger } from "@nestjs/common";

const logger = new Logger();

async function bootstrap() {
  const app = await NestFactory.createMicroservice(AppModule, {
    transport: Transport.TCP,
    options: {
      host: "127.0.0.1",
      port: 8888
    }
  });
  app.listen(() => logger.log("Microservice A is listening"));
}
bootstrap();

Are you wondering what's going on here? Let me explain it.

  1. We are using the createMicroservice instead of the default create.
  2. Now we have to provide an extra argument for the Transport and Microservice Options.
  3. Inside the microservice options, we tell NestJs the host and port we want to use.

NOTE: You can choose the host, and port of your preference. Also, NestJs has multiple transport options you can choose from.

The AppController will end up looking like this:

import { Controller } from "@nestjs/common";
import { MessagePattern } from "@nestjs/microservices";
import { of } from "rxjs";
import { delay } from "rxjs/operators";

@Controller()
export class AppController {
  @MessagePattern({ cmd: "ping" })
  ping(_: any) {
    return of("pong").pipe(delay(1000));
  }
}

Instead of using the classic Get decorator, we use the MessagePattern. What this will do is trigger the ping method when it receives a ping command. Then, it just returns the string pong after a second delay.

If you want to skip ahead, you can access this working version of create the first service.

Build the API Gateway

You have a new service to run, but how can you access it? That's what we are going to do next. We'll create a new service that works as a HTTP Server, and will map the request to the right service. This will look like a proxy that also allows you to compose requests, and reduce bandwidth usage in your application.

If you are wondering who uses this, AWS offers it as SaaS. Netflix even built their own solution.

Let's use your knowledge of the NestJs CLI:

  1. Go to the directory where service-a project is located using your preferred command line tool.
  2. Execute nest new api-gateway. It will prompt you to choose between npm and yarn. I used npm.
  3. Delete the files src/app.controller.spec.ts.

You are probably thinking, is that it? Well, no. But we are almost there. It's now time to hook the method we created.

  1. Go to the API Gateway root folder using your preferred command line tool.
  2. Execute the command npm i --save @nestjs/microservices.
  3. Import the ClientModule and register the ServiceA.
  4. Inject the new service into the AppService and create a method to query the ServiceA.
  5. Use the new method from the AppService in the AppController.

The AppModule will end up looking like this:

import { Module } from "@nestjs/common";
import { AppController } from "./app.controller";
import { ClientsModule, Transport } from "@nestjs/microservices";
import { AppService } from "./app.service";

@Module({
  imports: [
    ClientsModule.register([
      {
        name: "SERVICE_A",
        transport: Transport.TCP,
        options: {
          host: "127.0.0.1",
          port: 8888
        }
      }
    ])
  ],
  controllers: [AppController],
  providers: [AppService]
})
export class AppModule {}

As you can see we need to setup the client to the service using the same transport and options but we give it a new property name to identify the instance of the service. You can also create a custom provider in order to fetch its configuration either from a service that can be local or externally accesed using HTTP.

The AppService will end up looking like this:

import { Injectable, Inject } from "@nestjs/common";
import { ClientProxy } from "@nestjs/microservices";
import { map } from "rxjs/operators";

@Injectable()
export class AppService {
  constructor(
    @Inject("SERVICE_A") private readonly clientServiceA: ClientProxy
  ) {}

  pingServiceA() {
    const startTs = Date.now();
    const pattern = { cmd: "ping" };
    const payload = {};
    return this.clientServiceA
      .send<string>(pattern, payload)
      .pipe(
        map((message: string) => ({ message, duration: Date.now() - startTs }))
      );
  }
}

What we are doing here is injecting the Client we imported in the AppModule using its name as the token to identify it. Then, we create a simple method that gets the current time in milliseconds, sends a message to the service instance, and, once it gets a response, maps it to an object with the response message, and its total duration.

The AppController will end up looking like this:

import { Controller, Get } from "@nestjs/common";
import { AppService } from "./app.service";

@Controller()
export class AppController {
  constructor(private readonly appService: AppService) {}

  @Get("/ping-a")
  pingServiceA() {
    return this.appService.pingServiceA();
  }
}

If you start api-gateway, and service-a services, using npm run start:dev, you'll be able to send a GET request to the API gateway by invoking http://localhost:3000/ping-a and get, as a response, an object with a message saying pong and the duration it took.

Although, this is not that impressive right? We could do this with a simple proxy. Things get slightly more complicated when you want to compose requests. But before we can do this, we'll need to create a new service. Go ahead and create the second service, and hook it on the API Gateway as I've just shown you.

If you want to skip ahead, you can access the api gateway with one service or the api gateway with the two services.

NOTE: In the second service, I used a delay of 2 seconds so we can see the difference between services available.

Composing Requests

We have everything in place- two services than can be running anywhere communicating through a single interface bringing more security and modularity to the application. But we want more. What if we had 12 services, and we had to do over 100 requests to fill all the information in a single page? Things will start to get out of hand.

We need a way to compose requests in the API Gateway. For this, I'm going to use some RxJs. The AppController of the API Gateway will end up looking like this:

import { Controller, Get } from "@nestjs/common";
import { AppService } from "./app.service";
import { zip } from "rxjs";
import { map } from "rxjs/operators";

@Controller()
export class AppController {
  constructor(private readonly appService: AppService) {}

  @Get("/ping-a")
  pingServiceA() {
    return this.appService.pingServiceA();
  }

  @Get("/ping-b")
  pingServiceB() {
    return this.appService.pingServiceB();
  }

  @Get("/ping-all")
  pingAll() {
    return zip(
      this.appService.pingServiceA(),
      this.appService.pingServiceB()
    ).pipe(
      map(([pongServiceA, pongServiceB]) => ({
        pongServiceA,
        pongServiceB
      }))
    );
  }
}

The only new thing is the pingAll method. If you havent seen RxJs before, this might look like some dark magic, but it's actually quite simple. We want to start the execution of our asynchronous calls at the same time, and consolidate all the responses into a single one.

NOTE: The zip method takes N observables and emits once all have emitted.

If you dont want to do any of this by yourself, just access this working version of the application.

Conclusion

And just like that, you got the API Gateway to compose requests for you. This is just a taste of what Microservices can do for your architecture. There are many more patterns, like API Gateway, that you can explore. A cool homework would be to create a new service that keeps track of the running services, and extending the imports using providers, to allow dynamically setting the client specification.

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