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Deploying a NestJS application using Amazon ECS and RDS
Gathsara Umesh

Deploying a NestJS application using Amazon ECS and RDS

Uploading our Docker image to AWS

Up until now, we have constructed our Docker image on our local machine. In order to proceed with the deployment, it is necessary to upload the image to the Elastic Container Registry (ECR). ECR functions as a container registry, where Docker images can be stored. It operates in a similar manner to Docker Hub. Once we have successfully uploaded our image to the Elastic Container Registry, it becomes accessible for utilization with various other AWS services.

To initiate the process, we should begin by accessing the ECR service.


Initially, we must establish a repository specifically for our Docker image. repository.png After constructing our NestJS Docker image, we should proceed with pushing it to our ECR repository. Once the image is successfully uploaded, we can navigate to the newly created repository and locate the "View push commands" button. repo-image.png Upon clicking the "View push commands" button, a popup will appear, providing a comprehensive list of commands that need to be executed in order to successfully push our Docker image to the repository. This serves as a helpful guide, ensuring that all the necessary steps are followed for the image upload process. push-cmd.png

Authenticating with AWS CLI

To authenticate with the AWS Command Line Interface (CLI), the first step mentioned in the provided popup, we need to have an understanding of the AWS Identity and Access Management (IAM) service.

IAM enables us to manage access to our AWS resources. When setting up a new AWS account, we initially have the root user, which possesses unrestricted access to all AWS services and resources within the account. However, it is highly discouraged to utilize the root user for everyday tasks. Instead, it is advisable to create an IAM user with limited permissions.

For our specific use case, the IAM user should be granted the "


" permission. This permission will enable us to push our Docker image to the ECR (Elastic Container Registry). i-am.png We should access the "Security credentials" section and create an access key, which will be utilized in conjunction with the AWS CLI. acc-key.png The last step is to run the

aws configure

command in the terminal and provide the access key and the secret access key we’ve just created.

Pushing the docker image

We can now proceed with executing the push commands provided in our ECR repository to upload the Docker image.

(Just open your terminal and copy/paste the command that shows in a push command window (You can see the above image) )

Once we successfully execute the aforementioned steps, our Docker image will become visible within the ECR (Elastic Container Registry). uploaded-docker.png

Connect with ECS cluster

AWS offers the Elastic Compute Cloud (EC2) service, which allows users to launch virtual servers capable of running various applications. However, when using Docker with plain EC2, the process of installing and managing Docker manually on the server can be cumbersome.

To simplify this process, AWS provides the Elastic Container Service (ECS). With ECS, users can run a cluster consisting of one or more EC2 instances specifically designed to run Docker. The advantage of using ECS is that it eliminates the need for manual installation and management of Docker on the server.

It's important to note that ECS is not a replacement for EC2 but rather a complementary service. ECS and EC2 can seamlessly integrate with each other to enhance the functionality and capabilities of deploying Docker containers.

  1. To begin using ECS, the first step is to open the ECS interface in the AWS Management Console. ecs.png
  2. Now, we have to create a cluster and give it a name. ecs-name.png 3.While leaving most of the configuration settings at their default values, it is essential to configure the cluster to utilize EC2 instances. esc-config.png

Creating a task definition

To run tasks within the ECS cluster, the Amazon ECS service requires a task definition. A task definition defines various parameters for running tasks, including the Docker image to be executed. In our case, we need to create a task definition specifically for running our Docker image. task-def.png When setting up the task definition, we should utilize the results obtained from the previous steps in this article. In particular, we need to specify the URI of the Docker image that we have previously pushed to our ECR repository. task-def-one.png In order to interact with our NestJS application, which runs on port 8080, we must expose that port. This will enable external communication with the application. task-def-two.png Additionally, it is crucial to provide all the necessary environment variables required by our Docker image. These environment variables ensure that the application inside the Docker container can access and utilize the required configuration settings or external services. CleanShot 2023-06-02 at 20.08.12@2x.png The final step in configuring our task definition involves specifying the infrastructure requirements. This includes defining the CPU and memory resources needed for each task, configuring task placement constraints, and any other infrastructure-related specifications required for the proper execution of our tasks within the ECS cluster. final.png

Configuring static host port mapping

By default, when we enter the value "8080" in the port mappings within the aforementioned interface, AWS expects us to set up the dynamic port mapping. However, for the sake of simplicity, let's take a different approach.You can ream more on thin link.

To modify the configuration, we can make changes to the existing task definition we created earlier. This can be done by opening the task definition and clicking on the "Create new revision" button.

Once we have created a new revision of the task definition, we can proceed to the port mappings section and set the host port as "8080". This adjustment ensures that the application will be accessible through port 8080 when running in the ECS cluster.

8080.png Upon clicking the "Create" button, AWS will generate a new revision of our task definition, incorporating the modifications we made. This new revision will reflect the updated configuration settings for the task definition.

Running The Task On The Cluster

Once the task definition is properly configured and ready, we can proceed to open our ECS cluster and initiate a new task execution within it. cluster.png Before running a new task in the ECS cluster, it is important to ensure that the environment is set up correctly. This involves verifying that all the necessary dependencies, configurations, and permissions are in place to support the proper execution of the task. cluster-1.png In the process of running a new task in the ECS cluster, we must select the task definition that we created in the previous step. This ensures that the task is launched using the specified configuration and settings defined in the task definition. cluster-3.png

Please note that we are utilizing the second revision of our task definition, which incorporates the static host mapping approach.

After clicking the "Create" button, AWS will commence the execution of the task that we have defined. The ECS service will initiate the necessary processes to run the task within the cluster based on the provided configuration.

Accessing the API

To view the details of the EC2 instance created by our ECS cluster, we can navigate to the EC2 service in the AWS Management Console. By accessing the EC2 service, we can retrieve information about the instance, such as its configuration, networking details, and other relevant specifications. ec2.png After accessing the EC2 user interface, the next step is to open the list of instances. This list provides an overview of all the EC2 instances associated with your AWS account. ec2-1.png Upon opening the specific EC2 instance, you will find the "Public IPv4 DNS" section, which displays the address of your API. This DNS address can be used to access your API externally and interact with it. dns.png To enable access to your API, you need to configure it to accept incoming requests on port 8080. This involves setting up the necessary network and security configurations to allow traffic on port 8080 to reach your API. By allowing incoming requests on this port, external users will be able to access and interact with your API.

Setting up the security group

By opening the "Security" tab, you can access and modify the inbound and outbound rules of the security group, allowing you to control the traffic allowed to reach and leave the EC2 instance. seq.png To modify the inbound rules of the security group and open port 8080, please follow these steps:

  1. On the configuration page of the security group, navigate to the "Inbound rules" section.
  2. Click on the "Edit inbound rules" button to modify the rules.
  3. Create two new rules:
  • For the first rule, set the source to "Anywhere-IPv4" and select port 3000.
  • For the second rule, choose "Anywhere-IPv6" and specify port 3000.

By creating these rules, you allow incoming traffic on port 8080 from both IPv4 and IPv6 sources. This enables external requests to reach your API running on the EC2 instance. seq2.png

Once we do the above, we can start making HTTP requests to our API.


In summary, here are the steps we have covered in deploying a NestJS app with Amazon ECS and RDS:

  • Pushing the Docker image to ECR: We pushed our Docker image to the Elastic Container Registry (ECR), a repository for storing Docker images.
  • Creating a task definition: We created a task definition in ECS to define the parameters for running our Docker image, including the URI of the image in the ECR repository.
  • Configuring the task definition: We configured the task definition to expose port 3000, where our NestJS application runs, and provided any necessary environment variables.
  • Modifying the task definition: We modified the task definition to use static host mapping for port 3000 instead of dynamic port mapping.
  • Running the task on the cluster: We ran the task on the ECS cluster using the specified task definition, allowing the application to run on the EC2 instances.
  • Accessing the EC2 instance details: We accessed the EC2 service to view the details of the EC2 instance created by the ECS cluster, including the Public IPv4 DNS, which provides the address of our API.
  • Configuring security group inbound rules: We modified the inbound rules of the default security group assigned to the EC2 instance, opening port 3000 for incoming requests from both IPv4 and IPv6 sources.

If you have any problem just put a comment and I try my best to answer it.See you in next one.



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