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#MIXLR APP VERSION 2.2 GRATIS FREE#

This is the main file for this part of the tutorial series.

We also have a couple of destroy phase local-exec provisioners that will be executed only when we issue the command terraform destroy and they make sure local images are removed.

We use local-exec provisioners that execute docker commands to build the image and push it to remote repository.

Note that the null_resources are defined inside the file null_resources.tf. This is a locally-executed command that allows us to push to AWS ECR.

lines 4 – 6: We create a dependency to null_resource, the one for logging in into AWS ECR.

We use the Terraform resource aws_ecr_repository to create the repository to store our Docker image.

This is quite similar to the file live_listening_event_producer_lambda_ecr.tf file. In the root folder of our working project (where the main.tf file is) we create the file live_listening_event_consumer_ecr.tf with the following content: We will use the AWS ECR service, which allows us to create Docker image repositories. With the consumer Docker image ready, we need to deploy it to our AWS Account.

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These terminals are now free and we can continue using either of them. Then we do the same with the terminal that prints the logs of the consumer. We type at the terminal of the producer to stop it.

The Docker image is ready to be used in our infrastructure. This proves that our consumer works as expected. This will generate a package.json file with the following content: Question author (Panagiotis Matsinopoulos): Question name (live_listening_event_consumer): We accept the default suggested answers but for the entry point we answer app.js. We then use yarn to initialize a new Nodejs project: $ yarn init We $ cd live_listening_event_consumer Nodejs Project $ mkdir live_listening_event_consumer Change Directory To New Folder

#MIXLR APP VERSION 2.2 GRATIS CODE#

We name this folder live_listening_event_consumer and our intention is to put inside the JavaScript code for the event consumer and turn it into a Docker image. Consumer Docker Image Folderįirst, we create a new folder inside our working directory. We will take that code and we will wrap it into a Docker image. In Part 3 of this tutorial series, we have seen an example of JavaScript code that consumes events. Let’s start with the JavaScript code that will be consuming the Kafka events. We will also make sure that the AWS ECS Cluster has access to the VPC our MSK cluster will be in, so that it will be able to connect to the Kafka Brokers to consume events. The JavaScript code binary package will be living inside an AWS ECR repository (which is not depicted in the picture above). a JavaScript code binary package that will consume the events.will be using an AWS ECS Container, which will be using.will rely on an an AWS ECS Task Definition, which.Here is our architectural objective and what is the new part we are going to add with the current tutorial. We build up on what we have already designed in the previous parts. The command that we use, at the end of the process, to destroy the resources we create with this demo, is: terraform destroy

Make sure that, at the end of the learning experience, you run the necessary actions to destroy these resources, so that you are not charged for any reason. Important: If you follow along the steps suggested in this tutorial, you will probably be charged for the resources created in AWS. In the current part, we proceed to implement a JavaScript consumer that is deployed into AWS ECS using Fargate launch type. In the previous part 6, we created a consumer that relied on AWS MSK Connect service.

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