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Websocket API with Socket.io

Tip

To deploy this project using GUI-based flow, navigate to console

Pricing

  • Fixed price resources:

    • Container workload (~$0.012/hour, ~$9/month)
  • There are also other resources that might incur costs (with pay-per-use pricing). If your load won't get high, these costs will be close to $0.

Prerequisites

  1. AWS account. If you don't have one, create new account here.

  2. Stacktape account. If you don't have one, create new account here.

  3. Stacktape installed.

Install on Windows (Powershell)
iwr https://installs.stacktape.com/windows.ps1 -useb | iex
Install on Linux
curl -L https://installs.stacktape.com/linux.sh | sh
Install on MacOS
curl -L https://installs.stacktape.com/macos.sh | sh
Install on MacOS ARM (Apple silicon)
curl -L https://installs.stacktape.com/macos-arm.sh | sh
  1. Upstash account. If you don't have one, create new account here.

1. Generate your project

To initialize the project, use

stacktape init --starterId socketio-websocket-api-redis

2. Before deploy

  • Fill in your Upstash credentials in the providerConfig.upstash section of the stacktape.yml config file. You can get your API key in the Upstash console.

3. Deploy your stack

The deployment will take ~5-15 minutes. Subsequent deploys will be significantly faster.

Deploy from local machine

The deployment from local machine will build and deploy the application from your system. This means you also need to have:

  • Docker. To install Docker on your system, you can follow this guide.- Node.js installed.

To perform the deployment, use the following command:

stacktape deploy --stage <<stage>> --region <<region>>

stage is an arbitrary name of your environment (for example staging, production or dev-john)

region is the AWS region, where your stack will be deployed to. All the available regions are listed below.


Region name & Location code
Europe (Ireland) eu-west-1
Europe (London) eu-west-2
Europe (Frankfurt) eu-central-1
Europe (Milan) eu-south-1
Europe (Paris) eu-west-3
Europe (Stockholm) eu-north-1
US East (Ohio) us-east-2
US East (N. Virginia) us-east-1
US West (N. California) us-west-1
US West (Oregon) us-west-2
Canada (Central) ca-central-1
Africa (Cape Town) af-south-1
Asia Pacific (Hong Kong) ap-east-1
Asia Pacific (Mumbai) ap-south-1
Asia Pacific (Osaka-Local) ap-northeast-3
Asia Pacific (Seoul) ap-northeast-2
Asia Pacific (Singapore) ap-southeast-1
Asia Pacific (Sydney) ap-southeast-2
Asia Pacific (Tokyo) ap-northeast-1
China (Beijing) cn-north-1
China (Ningxia) cn-northwest-1
Middle East (Bahrain) me-south-1
South America (São Paulo) sa-east-1
Deploy using AWS CodeBuild pipeline

Deployment using AWS CodeBuild will build and deploy your application inside AWS CodeBuild pipeline. To perform the deployment, use

stacktape codebuild:deploy --stage <<stage>> --region <<region>>

stage is an arbitrary name of your environment (for example staging, production or dev-john)

region is the AWS region, where your stack will be deployed to. All the available regions are listed below.


Region name & Location code
Europe (Ireland) eu-west-1
Europe (London) eu-west-2
Europe (Frankfurt) eu-central-1
Europe (Milan) eu-south-1
Europe (Paris) eu-west-3
Europe (Stockholm) eu-north-1
US East (Ohio) us-east-2
US East (N. Virginia) us-east-1
US West (N. California) us-west-1
US West (Oregon) us-west-2
Canada (Central) ca-central-1
Africa (Cape Town) af-south-1
Asia Pacific (Hong Kong) ap-east-1
Asia Pacific (Mumbai) ap-south-1
Asia Pacific (Osaka-Local) ap-northeast-3
Asia Pacific (Seoul) ap-northeast-2
Asia Pacific (Singapore) ap-southeast-1
Asia Pacific (Sydney) ap-southeast-2
Asia Pacific (Tokyo) ap-northeast-1
China (Beijing) cn-north-1
China (Ningxia) cn-northwest-1
Middle East (Bahrain) me-south-1
South America (São Paulo) sa-east-1
Deploy using Github actions CI/CD pipeline
  1. If you don't have one, create a new repository at https://github.com/new
  2. Create Github repository secrets: https://docs.stacktape.com/user-guides/ci-cd/#2-create-github-repository-secrets
  3. Replace <<stage>> and <<region>> in the .github/workflows/deploy.yml file.
  4. git init --initial-branch=main
  5. git add .
  6. git commit -m "setup stacktape project"
  7. git remote add origin git@github.com:<<namespace-name>>/<<repo-name>>.git
  8. git push -u origin main
  9. To monitor the deployment progress, navigate to your github project and select the Actions tab

stage is an arbitrary name of your environment (for example staging, production or dev-john)

region is the AWS region, where your stack will be deployed to. All the available regions are listed below.


Region name & Location code
Europe (Ireland) eu-west-1
Europe (London) eu-west-2
Europe (Frankfurt) eu-central-1
Europe (Milan) eu-south-1
Europe (Paris) eu-west-3
Europe (Stockholm) eu-north-1
US East (Ohio) us-east-2
US East (N. Virginia) us-east-1
US West (N. California) us-west-1
US West (Oregon) us-west-2
Canada (Central) ca-central-1
Africa (Cape Town) af-south-1
Asia Pacific (Hong Kong) ap-east-1
Asia Pacific (Mumbai) ap-south-1
Asia Pacific (Osaka-Local) ap-northeast-3
Asia Pacific (Seoul) ap-northeast-2
Asia Pacific (Singapore) ap-southeast-1
Asia Pacific (Sydney) ap-southeast-2
Asia Pacific (Tokyo) ap-northeast-1
China (Beijing) cn-north-1
China (Ningxia) cn-northwest-1
Middle East (Bahrain) me-south-1
South America (São Paulo) sa-east-1
Deploy using Gitlab CI pipeline
  1. If you don't have one, create a new repository at https://gitlab.com/projects/new
  2. Create Gitlab repository secrets: https://docs.stacktape.com/user-guides/ci-cd/#2-create-gitlab-repository-secrets
  3. replace <<stage>> and <<region>> in the .gitlab-ci.yml file.
  4. git init --initial-branch=main
  5. git add .
  6. git commit -m "setup stacktape project"
  7. git remote add origin git@gitlab.com:<<namespace-name>>/<<repo-name>>.git
  8. git push -u origin main
  9. To monitor the deployment progress, navigate to your gitlab project and select CI/CD->jobs

stage is an arbitrary name of your environment (for example staging, production or dev-john)

region is the AWS region, where your stack will be deployed to. All the available regions are listed below.


Region name & Location code
Europe (Ireland) eu-west-1
Europe (London) eu-west-2
Europe (Frankfurt) eu-central-1
Europe (Milan) eu-south-1
Europe (Paris) eu-west-3
Europe (Stockholm) eu-north-1
US East (Ohio) us-east-2
US East (N. Virginia) us-east-1
US West (N. California) us-west-1
US West (Oregon) us-west-2
Canada (Central) ca-central-1
Africa (Cape Town) af-south-1
Asia Pacific (Hong Kong) ap-east-1
Asia Pacific (Mumbai) ap-south-1
Asia Pacific (Osaka-Local) ap-northeast-3
Asia Pacific (Seoul) ap-northeast-2
Asia Pacific (Singapore) ap-southeast-1
Asia Pacific (Sydney) ap-southeast-2
Asia Pacific (Tokyo) ap-northeast-1
China (Beijing) cn-north-1
China (Ningxia) cn-northwest-1
Middle East (Bahrain) me-south-1
South America (São Paulo) sa-east-1

4. Test your application

After a successful deployment, some information about the stack will be printed to the terminal (URLs of the deployed services, links to logs, metrics, etc.).

  • This project includes a pre-made test script that creates 100 websocket connections and emits a message to all of them. To run it, use
stacktape script:run --scriptName broadcastTest --stage <<your-previously-deployed-stage>> --region <<your-previously-used-region>>

5. Run the application in development mode

To run a container in the development mode (locally on your machine), you can use the dev command.

stacktape dev --region <<your-region>> --stage <<stage>> --resourceName websocketServer --container socketio-server

Stacktape runs the container as closely to the deployed version as possible:

  • Maps all of the container ports specified in the events section to the host machine.
  • Injects parameters referenced in the environment variables by $ResourceParam and $Secret directives to the running container.
  • Injects credentials of the assumed role to the container. This means that your locally running container will have the exact same IAM permissions as the deployed version.
  • Pretty-prints logs (stdout/stderr) produced by the container to the terminal.

The container is rebuilt and restarted, when you either:

  • type rs + enter to the terminal
  • use the --watch option and one of your source code files changes

6. Hotswap deploys

  • Stacktape deployments use AWS CloudFormation under the hood. It brings a lot of guarantees and convenience, but can be slow for certain use-cases.

  • To speed up the deployment, you can use the --hotSwap flag that avoids Cloudformation.

  • Hotswap deployments work only for source code changes (for lambda function, containers and batch jobs) and for content uploads to buckets.

  • If the update deployment is not hot-swappable, Stacktape will automatically fall back to using a Cloudformation deployment.

stacktape deploy --hotSwap --stage <<stage>> --region <<region>>

7. Delete your stack

  • If you no longer want to use your stack, you can delete it.
  • Stacktape will automatically delete every infrastructure resource and deployment artifact associated with your stack.
stacktape delete --stage <<stage>> --region <<region>>

Stack description

Stacktape uses a simple stacktape.yml configuration file to describe infrastructure resources, packaging, deployment pipeline and other aspects of your project.

You can deploy your project to multiple environments (stages) - for example production, staging or dev-john. A stack is a running instance of an project. It consists of your application code (if any) and the infrastructure resources required to run it.

The configuration for this project is described below.

1. Resources

  • Every resource must have an arbitrary, alphanumeric name (A-z0-9).
  • Stacktape resources consist of multiple underlying AWS or 3rd party resources.

1.1 Application load balancer

The application load balancer is responsible for maintaining and balancing websocket connections established between clients and the containers.

If there are multiple containers(i.e your workload scales) load balancer distributes connections evenly among these containers.

You can configure more properties on your load balancer, including using custom domain names or enabling TLS. In this example, we are using the default setup.

resources:
  mainLoadBalancer:
    type: application-load-balancer

1.2 Upstash Redis database

The application uses Upstash serverless Redis database. It is used by Socket.IO adapter to synchronize when scaling to multiple Socket.IO container instances.

In this example, we are configuring redis to use tls. You can also configure other properties if desired.

redis:
  type: upstash-redis
  properties:
    enableTls: true

1.3 Container workload

Socket.IO server runs inside a container workload with a single container. The workload is configured as follows:

  • Container. This container workload uses only a single container: socketio-server. The container is configured as follows:
    • Packaging - determines how the Docker container image is built. The easiest and most optimized way to build the image for a Typescript application is using stacktape-image-buildpack. We only need to configure entryfilePath. Stacktape automatically transpiles and builds the application code with all of its dependencies, builds the Docker image, and pushes it to a pre-created image repository on AWS. You can also use other types of packaging.
    • ConnectTo list - we are adding redis database redis into connectTo list. By doing this, Stacktape will automatically inject relevant environment variables into the compute resource's runtime (such as redis connection url required for connecting to database)
    • Events that reach the container. Load balancer event is configured to forward all incoming connections with path /(used for load balancer healthcheck) or /websockets*(used for websocket connection) to the container's port 3000.
  • Resources. Resources are shared between containers of container workload (in this case, we only have one container). The cheapest available resource configuration is 0.25 of virtual CPU and 512 MB of RAM.
  • Scaling. For the purposes of this tutorial we are scaling the workload to two (parallel) instances, to showcase the "synchronization" through redis. I.e that all websocket clients receive messages even if they are connected to different containers.
websocketServer:
  type: multi-container-workload
  properties:
    resources:
      cpu: 0.25
      memory: 512
    connectTo:
      - redis
    containers:
      - name: socketio-server
        packaging:
          type: stacktape-image-buildpack
          properties:
            entryfilePath: src/server/index.ts
        environment:
          - name: PORT
            value: 3000

        events:
          - type: application-load-balancer
            properties:
              containerPort: 3000
              loadBalancerName: mainLoadBalancer
              priority: 2
              paths:
                - "/"
                - "/websockets*"
    scaling:
      minInstances: 2
      maxInstances: 2

2. Test script

To simplify testing of the websocket app, the stacktape config also contains broadcastTest script.

The purpose of this script is to create multiple websocket client connections (connections are balanced between the 2 socket.io containers):

  • One of the clients sends a message.
  • After rest of the websockets receive the message, they gracefully disconnect and script exits.
scripts:
  broadcastTest:
    executeScript: scripts/broadcast-test.ts
    environment:
      - name: LOAD_BALANCER_DOMAIN
        value: $ResourceParam('loadBalancer', 'domain')

You can execute the test script after the deploy using

stp script:run --scriptName broadcastTet --stage <<previously-used-stage>> --region <<previously-used-region>>

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