{"id":5858,"date":"2020-06-25T12:58:29","date_gmt":"2020-06-25T11:58:29","guid":{"rendered":"https:\/\/lcloud.pl\/?p=5858"},"modified":"2024-12-10T15:43:24","modified_gmt":"2024-12-10T14:43:24","slug":"multi-region-deployment","status":"publish","type":"post","link":"https:\/\/lcloud.pl\/en\/multi-region-deployment\/","title":{"rendered":"Multi-region deployment using AWS CodePipeline"},"content":{"rendered":"
The implementation process is one of the key stages of the software cycle and is associated with its installation and adaptation to the needs of the user. In order to improve the entire process, AWS has prepared services related to the DevOps<\/a> culture. These include AWS CodeDeploy, AWS CloudFormation, Amazon S3 or AWS CodePipeline, which is the main character of this entry.<\/span><\/strong><\/span><\/h5>\n

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\"\"<\/a>AWS CodeDeploy<\/a><\/span> – is a service that automates the implementation of software for various computing services, such as Amazon EC2, AWS Lambda and on-premise servers.<\/span><\/p>\n

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\"\"<\/a>AWS CloudFormation<\/a><\/span> – provides a common language to describe and provide all infrastructure resources in a cloud environment.<\/span><\/p>\n

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\"\"<\/a>Amazon S3<\/a><\/span> – is a simple web service interface that can be used to store and retrieve any amount of data, at any time and from anywhere on the network.<\/span><\/p>\n

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\"\"<\/a>AWS CodePipeline<\/a><\/span> – is a fully managed service that allows automation of pipelines for fast and reliable updates of applications and infrastructure. Thanks to the ability to support actions between AWS regions, it enables the application to be implemented with a single pipeline in many regions. This affects not only the availability of the application but also the delays associated with it.<\/span><\/p>\n

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How AWS CodePipeline works?<\/b><\/span><\/h4>\n

The service divides the entire workflow into individual stages. An example would be the building phase, during which the written code is run and tested. Another example is the deployment stage, where updates are implemented in a production environment. Each element of the process can be marked for better tracking, control and reporting of its progress.<\/span><\/span><\/p>\n

Each pipeline contains at least one action (action performed on the artifact). Pipeline activities are performed in a specific order; sequentially or in parallel – according to the configuration at a given stage. A detailed description of how AWS CodePipeline works can be found in the <\/span>runbook<\/span><\/a><\/span>.<\/span><\/span><\/p>\n

In this post we will show:<\/span>\u00a0<\/span><\/p>\n

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  1. How to create a software delivery continuity pipeline with the help of AWS CodePipeline, provided by AWS CloudFormation.<\/span><\/li>\n
  2. How to configure the action pipeline and run it in a different region than it was configured.<\/span><\/li>\n
  3. How to implement an example application in many regions with the help of AWS CodeDeploy.<\/span><\/li>\n<\/ol>\n

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    High-level deployment architecture<\/b><\/span><\/h4>\n

    \"\"<\/a>The diagram illustrates (in general terms) the process of implementing an architecture for the needs of the deployment process. The first phase is loading the latest version of the application code into the Amazon S3 service. Each new update loaded into the bucket starts the AWS CodePipeline service.<\/span><\/p>\n

    For each CodePipeline Action in AWS CodeDeploy, the application code from Amazon S3 is replicated to the artifact store in the region for the given action. Each action implements the latest version of the application to the Amazon EC2 instance in the region<\/span>.<\/span><\/p>\n

    To create a pipeline in many regions, follow these steps:<\/span><\/strong><\/p>\n

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    1. Configure the resources that will be needed for implementation with the help of AWS CodeDeploy.<\/span><\/li>\n
    2. Configure “artifact stores” (S3 buckets) for AWS CodePipeline in each region.<\/span><\/li>\n
    3. Create an AWS CloudFormation for AWS CodePipeline.<\/span><\/li>\n
    4. Check deployments carried out by pipeline in the AWS Management Console.<\/span><\/li>\n
    5. Check the correctness of implemented deployments.<\/span><\/li>\n<\/ol>\n

      What’s next?\u00a0<\/b><\/span><\/h4>\n

      The first step is to install the AWS CodeDeploy agent on the instances. The agent is a software package enabling deployments. At this stage you need to do 2 things:<\/span><\/p>\n