{"id":618,"date":"2019-04-05T14:28:27","date_gmt":"2019-04-05T12:28:27","guid":{"rendered":"https:\/\/blog.besharp.it\/aws-fargate-services-deployment-with-continuous-delivery-pipeline\/"},"modified":"2021-03-29T17:02:41","modified_gmt":"2021-03-29T15:02:41","slug":"aws-fargate-services-deployment-with-continuous-delivery-pipeline","status":"publish","type":"post","link":"https:\/\/blog.besharp.it\/aws-fargate-services-deployment-with-continuous-delivery-pipeline\/","title":{"rendered":"AWS Fargate Services Deployment with Continuous Delivery Pipeline"},"content":{"rendered":"<div class=\"section-inner sectionLayout--insetColumn\">\n<p id=\"c181\" class=\"graf graf--p graf-after--figure\">In this article, we explain how we have created a Continuous Delivery (CD) pipeline capable of producing a docker image for deployment on AWS ECS Fargate.<\/p>\n<p id=\"c202\" class=\"graf graf--p graf-after--p\">With the emergence of\u00a0<strong class=\"markup--strong markup--p-strong\">AWS Fargate<\/strong>, the realization of container-based services finally takes on a whole new meaning. In fact, before Fargate\u2019s release, the only way to use Amazon ECS was to provide a cluster of EC2 instances managed by Amazon (for software, updates, and configuration). This type of solution requires sustaining the costs of the clusters, plan oversizing to allow for the scaling of tasks, and lastly, configuring and maintaining a valid autoscaling system to avoid lacking adequate container resources.<\/p>\n<p id=\"afc7\" class=\"graf graf--p graf-after--p\">AWS Fargate allows for all of this\u00a0<strong class=\"markup--strong markup--p-strong\">management overhead to be handed to AWS<\/strong>, i.e., to launch container-based services by paying only for the actual execution time. No need to worry about the underlying cluster\u200a\u2014\u200athe focus can instead be placed on service development.<\/p>\n<p id=\"58a2\" class=\"graf graf--p graf-after--p\">With AWS Fargate, AWS is making the container a top-tier object in computing solutions.<\/p>\n<p id=\"a8f1\" class=\"graf graf--p graf-after--p\">Automating the deployment of container-based services is fundamental to fully take advantage of AWS Fargate and AWS Cloud potential.<\/p>\n<p id=\"0b02\" class=\"graf graf--p graf-after--p\">Here is our solution for implementing a CD pipeline that can put in production every push on the selected repository branch.<\/p>\n<p id=\"6102\" class=\"graf graf--p graf-after--p\">Key infrastructure services include:<\/p>\n<ul>\n<li id=\"7e25\" class=\"graf graf--p graf-after--p\">Amazon Elastic Container Service (Amazon ECS)<\/li>\n<li id=\"5462\" class=\"graf graf--p graf-after--p\">Amazon Elastic Container Registry (ECR)<\/li>\n<li id=\"54e1\" class=\"graf graf--p graf-after--p\">Elastic Load Balancing<\/li>\n<li id=\"6e62\" class=\"graf graf--p graf-after--p\">(Optional) CodeCommit for the GIT repository. Any other CodePipeline-supported repository will be fine.<\/li>\n<\/ul>\n<h4 id=\"fe5e\" class=\"graf graf--h4 graf-after--p\">Let us start with a short glossary:<\/h4>\n<p id=\"a214\" class=\"graf graf--p graf-after--h4\"><strong class=\"markup--strong markup--p-strong\">Amazon Elastic Container Service (Amazon ECS)<\/strong>\u00a0is a container orchestration service. It supports Docker and allows for\u00a0<strong class=\"markup--strong markup--p-strong\">easily running and resizing applications<\/strong>. AWS Fargate facilitates starting and orchestrating container-based services by fully using AWS-managed clusters and paying on a container basis.<\/p>\n<p id=\"4c6e\" class=\"graf graf--p graf-after--p\"><strong class=\"markup--strong markup--p-strong\">Amazon Elastic Container Registry (ECR)<\/strong>\u00a0is a\u00a0<strong class=\"markup--strong markup--p-strong\">fully Docker-managed image registry<\/strong>\u00a0that makes it easy for developers to store, manage, and distribute Docker container images.<\/p>\n<p id=\"ffc0\" class=\"graf graf--p graf-after--p\">It is possible to utilize the Elastic Load Balancing service to sort traffic via containers.<\/p>\n<p id=\"ae27\" class=\"graf graf--p graf-after--p\"><strong class=\"markup--strong markup--p-strong\">AWS Elastic Load Balancing<\/strong>\u00a0automatically routes incoming application traffic between multiple destinations, including EC2, containers, IP addresses, and Lambda functions.<\/p>\n<p id=\"aa45\" class=\"graf graf--p graf-after--p\">Elastic Load Balancing offers\u00a0<strong class=\"markup--strong markup--p-strong\">three types of load balancing systems:<\/strong><\/p>\n<ol>\n<li id=\"9bc0\" class=\"graf graf--p graf-after--p\">Application Load Balancer<\/li>\n<li id=\"7697\" class=\"graf graf--p graf-after--p\">Network Load Balancer<\/li>\n<li id=\"b5c8\" class=\"graf graf--p graf-after--p\">Classic Load Balancer<\/li>\n<\/ol>\n<p id=\"51a8\" class=\"graf graf--p graf-after--p\"><strong class=\"markup--strong markup--p-strong\">The Application Load Balancer (ALB)<\/strong>\u00a0is the load balancer for the services released on Fargate.<\/p>\n<p id=\"791b\" class=\"graf graf--p graf-after--p\">The Application Load Balancer systems are suitable for\u00a0<strong class=\"markup--strong markup--p-strong\">balancing HTTP and HTTPS traffic<\/strong>. They offer advanced request routing for the distribution of modern architectures, e.g. in microservices and containers. These systems operate at the level of individual requests (level 7) and route traffic based on the content of the request.<\/p>\n<p id=\"da2b\" class=\"graf graf--p graf-after--p\">Without further delay, let us move on to the tutorial for creating a fully automated release pipeline.<\/p>\n<p id=\"06f2\" class=\"graf graf--p graf-after--p\">Throughout the rest of the article, we will assume that the entire project code is in a\u00a0<strong class=\"markup--strong markup--p-strong\">CodePipeline-compatible repository.<\/strong><\/p>\n<h4 id=\"326c\" class=\"graf graf--h4 graf-after--p\">Part 1: Preparation of the first docker\u00a0image<\/h4>\n<p id=\"21eb\" class=\"graf graf--p graf-after--h4\">First, prepare an image of our service for testing it both locally and on AWS.<\/p>\n<p id=\"e99c\" class=\"graf graf--p graf-after--p\">It is, therefore, necessary\u00a0<strong class=\"markup--strong markup--p-strong\">to add a Dockerfile to the project<\/strong>, which will then be published in the repository. The file must contain instructions for building a container for all the software, dependencies, libraries, and configurations, as well as the package with our service.<\/p>\n<p id=\"9226\" class=\"graf graf--p graf-after--p\">This container can be safely tested locally or in a controlled environment in order to verify proper functioning.<\/p>\n<p id=\"f085\" class=\"graf graf--p graf-after--p\">Once the local tests are satisfying, one can proceed with the creation of an image and its publication on Amazon ECR.<\/p>\n<p id=\"0bb4\" class=\"graf graf--p graf-after--p\">The\u00a0<strong class=\"markup--strong markup--p-strong\">creation of an ECR repository<\/strong>\u00a0follows, and the only data it requires is a valid name.<br \/>\nOur docker image can then be uploaded to ECR by simply following the login and push instructions.<\/p>\n<pre id=\"1a5b\" class=\"graf graf--pre graf-after--p\">$(aws ecr get-login --no-include-email --region &lt;regione&gt;)\r\ndocker build -t &lt;nome immagine&gt; .\r\ndocker tag &lt;nome immagine&gt;:latest &lt;ecr url&gt;:latest\r\ndocker push &lt;ecr url&gt;:latest<\/pre>\n<h4 id=\"d8eb\" class=\"graf graf--h4 graf-after--pre\">Part 2: Configuration of ECS Fargate and Networking<\/h4>\n<p id=\"8e70\" class=\"graf graf--p graf-after--h4\">Our service requires a<strong class=\"markup--strong markup--p-strong\">\u00a0Load Balancer<\/strong>\u00a0to route traffic between replica containers.<\/p>\n<p id=\"2e62\" class=\"graf graf--p graf-after--p\">For this reason, we need to\u00a0<strong class=\"markup--strong markup--p-strong\">create an Application Load Balancer<\/strong>\u00a0whose configuration can be left blank. Defining behavioral details of the ALB is unnecessary because ECS is going to manage it dynamically during the containers\u2019 scaling operations.<\/p>\n<p id=\"c7a5\" class=\"graf graf--p graf-after--p\">As for ECS, the first thing to do is to create a cluster.\u00a0<strong class=\"markup--strong markup--p-strong\">Clusters<\/strong> are nothing more than objects used to logically group services.<img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*ngSkBt0YN6-HAuHEo_VPRw.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*ngSkBt0YN6-HAuHEo_VPRw.png\" \/><\/p>\n<p id=\"9146\" class=\"graf graf--p graf-after--figure\">Access the ECS dashboard and select \u201ccreate cluster\u201d.<\/p>\n<p id=\"7686\" class=\"graf graf--p graf-after--p\">From the wizard, choose \u201cNetworking only\u201d. This configuration tells AWS to use AWS Fargate for this virtual cluster.<\/p>\n<p id=\"c7a8\" class=\"graf graf--p graf-after--p\">If desired, select the name and a new VPC in the second and last wizard step. Otherwise, use one that has already been configured on your account.<img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*LdNiaI-3x5o-nNO4y9wJOA.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*LdNiaI-3x5o-nNO4y9wJOA.png\" \/><\/p>\n<p id=\"1068\" class=\"graf graf--p graf-after--figure\">The second step\u00a0<strong class=\"markup--strong markup--p-strong\">creates a task definition.<\/strong>\u00a0This object collects information about the task, i.e., name, description, IAM roles for deployment and execution, the size of the task in terms of RAM and CPU, and the specifications of the container that will host it.<\/p>\n<p id=\"a621\" class=\"graf graf--p graf-after--p\">Select the previously saved docker image on ECR to configure the container.<\/p>\n<p id=\"e0aa\" class=\"graf graf--p graf-after--p\">Simply select \u201cCreate task definition\u201d from the appropriate screen in the ECS area.<\/p>\n<p id=\"d9f4\" class=\"graf graf--p graf-after--p\">It is essential to choose AWS Fargate as the wizard\u2019s first step. Then input the requested data following the instructions and provide adequate sizing for the task.<\/p>\n<figure id=\"a99c\" class=\"graf graf--figure graf-after--p\">\n<div class=\"aspectRatioPlaceholder is-locked\">\n<div class=\"progressiveMedia js-progressiveMedia graf-image is-canvasLoaded is-imageLoaded\" data-image-id=\"1*1FMYHLvYKilPnusfYvTR3A.png\" data-width=\"889\" data-height=\"497\" data-action=\"zoom\" data-action-value=\"1*1FMYHLvYKilPnusfYvTR3A.png\" data-scroll=\"native\"><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*1FMYHLvYKilPnusfYvTR3A.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*1FMYHLvYKilPnusfYvTR3A.png\" \/><\/div>\n<\/div>\n<\/figure>\n<p id=\"929a\" class=\"graf graf--p graf-after--figure\"><strong class=\"markup--strong markup--p-strong\">The last object to be configured is called service (Service).<\/strong><\/p>\n<p id=\"0d26\" class=\"graf graf--p graf-after--p\">A service is defined by a task and a set of parameters that specify how many instances of the task are required as a minimum, current, and maximum value to allow the service to function correctly.<\/p>\n<\/div>\n<div class=\"section-inner sectionLayout--outsetColumn\">\n<figure id=\"64fe\" class=\"graf graf--figure graf--layoutOutsetCenter graf-after--p\" data-scroll=\"native\">\n<div class=\"aspectRatioPlaceholder is-locked\">\n<div class=\"progressiveMedia js-progressiveMedia graf-image is-canvasLoaded is-imageLoaded\" data-image-id=\"1*ZgWnaLPbfq7duvoct_t79g.png\" data-width=\"1422\" data-height=\"585\" data-action=\"zoom\" data-action-value=\"1*ZgWnaLPbfq7duvoct_t79g.png\" data-scroll=\"native\"><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*ZgWnaLPbfq7duvoct_t79g.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*ZgWnaLPbfq7duvoct_t79g.png\" \/><\/div>\n<\/div>\n<\/figure>\n<\/div>\n<div class=\"section-inner sectionLayout--insetColumn\">\n<p id=\"61c4\" class=\"graf graf--p graf-after--figure\">The creation procedure is no different from other configured objects.<\/p>\n<figure id=\"1564\" class=\"graf graf--figure graf-after--p\">\n<div class=\"aspectRatioPlaceholder is-locked\">\n<div class=\"progressiveMedia js-progressiveMedia graf-image is-canvasLoaded is-imageLoaded\" data-image-id=\"1*dK476D5Gx-JtnUdinj70OQ.png\" data-width=\"892\" data-height=\"719\" data-action=\"zoom\" data-action-value=\"1*dK476D5Gx-JtnUdinj70OQ.png\" data-scroll=\"native\"><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*dK476D5Gx-JtnUdinj70OQ.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*dK476D5Gx-JtnUdinj70OQ.png\" \/><\/div>\n<\/div>\n<\/figure>\n<figure id=\"a7bd\" class=\"graf graf--figure graf-after--figure\">\n<div class=\"aspectRatioPlaceholder is-locked\">\n<div class=\"progressiveMedia js-progressiveMedia graf-image is-canvasLoaded is-imageLoaded\" data-image-id=\"1*zGD31B2c61zf1DL2Fg05IA.png\" data-width=\"890\" data-height=\"646\" data-action=\"zoom\" data-action-value=\"1*zGD31B2c61zf1DL2Fg05IA.png\" data-scroll=\"native\"><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*zGD31B2c61zf1DL2Fg05IA.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*zGD31B2c61zf1DL2Fg05IA.png\" \/><\/div>\n<\/div>\n<\/figure>\n<figure id=\"f141\" class=\"graf graf--figure graf-after--figure\">\n<div class=\"aspectRatioPlaceholder is-locked\">\n<div class=\"progressiveMedia js-progressiveMedia graf-image is-canvasLoaded is-imageLoaded\" data-image-id=\"1*BG6Rk-b4IYj39KIE4wj5hw.png\" data-width=\"872\" data-height=\"757\" data-action=\"zoom\" data-action-value=\"1*BG6Rk-b4IYj39KIE4wj5hw.png\" data-scroll=\"native\"><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*BG6Rk-b4IYj39KIE4wj5hw.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*BG6Rk-b4IYj39KIE4wj5hw.png\" \/><\/div>\n<\/div>\n<\/figure>\n<p id=\"5851\" class=\"graf graf--p graf-after--figure\">Be attentive when selecting the VPC, subnets, and previously created load balancer.<\/p>\n<p id=\"6deb\" class=\"graf graf--p graf-after--p\">The service should be visible by pointing the browser to the ALB URL at the end of the configuration.<\/p>\n<figure id=\"3637\" class=\"graf graf--figure graf-after--p\">\n<div class=\"aspectRatioPlaceholder is-locked\">\n<div class=\"progressiveMedia js-progressiveMedia graf-image is-canvasLoaded is-imageLoaded\" data-image-id=\"1*VWadTwWMao7b3-RLwYh6SQ.png\" data-width=\"252\" data-height=\"233\" data-scroll=\"native\"><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image aligncenter\" src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*VWadTwWMao7b3-RLwYh6SQ.png\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/800\/1*VWadTwWMao7b3-RLwYh6SQ.png\" \/><\/div>\n<\/div>\n<\/figure>\n<h4 id=\"b87f\" class=\"graf graf--h4 graf-after--figure\">Part 3: Automating the deployment<\/h4>\n<p id=\"cce5\" class=\"graf graf--p graf-after--h4\">Once the entire environment has been manually configured, it is possible to\u00a0<strong class=\"markup--strong markup--p-strong\">create and configure a pipeline that automatically deploys each code change.<\/strong><\/p>\n<p id=\"7e5d\" class=\"graf graf--p graf-after--p\">The file named\u00a0<strong class=\"markup--strong markup--p-strong\">buildspec.yml<\/strong>\u00a0needs to be added to the repository root before starting the pipeline configuration. The purpose of the file is to contain the instructions for building a new image of our service.<\/p>\n<p id=\"607c\" class=\"graf graf--p graf-after--p\">In fact, we want to automate what was previously performed by hand, i.e., the construction of the docker image from the dockerfile and the code, its uploading to ECR, and lastly, ECS updating to perform the service deployment by using the new image.<\/p>\n<p id=\"fede\" class=\"graf graf--p graf-after--p\">Here is a sample version of the file to be added (buildspec.yml):<\/p>\n<pre id=\"3f3b\" class=\"graf graf--pre graf-after--p\">version: 0.2<\/pre>\n<pre id=\"9ead\" class=\"graf graf--pre graf-after--pre\">phases:\r\n  pre_build:\r\n    commands:\r\n      - echo Logging in to Amazon ECR...\r\n      - aws --version\r\n      - $(aws ecr get-login --region $AWS_DEFAULT_REGION --no-include-email)\r\n      - REPOSITORY_URI=<em class=\"markup--em markup--pre-em\">&lt;<\/em><strong class=\"markup--strong markup--pre-strong\"><em class=\"markup--em markup--pre-em\">REPLACE THIS TEXT WITH THE URL OF THE IMAGE USED ON ECR<\/em><\/strong><em class=\"markup--em markup--pre-em\">&gt;<\/em>\r\n      - COMMIT_HASH=$(echo $CODEBUILD_RESOLVED_SOURCE_VERSION | cut -c 1-7)\r\n      - IMAGE_TAG=${COMMIT_HASH:=latest}\r\n  build:\r\n    commands:\r\n      - echo Build started on `date`\r\n      - echo Building the Docker image...          \r\n      - docker build -t $REPOSITORY_URI:latest .\r\n      - docker tag $REPOSITORY_URI:latest $REPOSITORY_URI:$IMAGE_TAG\r\n  post_build:\r\n    commands:\r\n      - echo Build completed on `date`\r\n      - echo Pushing the Docker images...\r\n      - docker push $REPOSITORY_URI:latest\r\n      - docker push $REPOSITORY_URI:$IMAGE_TAG\r\n      - echo Writing image definitions file...\r\n      - printf '[{\"name\":\"<em class=\"markup--em markup--pre-em\">&lt;<\/em><strong class=\"markup--strong markup--pre-strong\"><em class=\"markup--em markup--pre-em\">replace this text with the container name used in task definition<\/em><\/strong><em class=\"markup--em markup--pre-em\">&gt;<\/em>\",\"imageUri\":\"%s\"}]' $REPOSITORY_URI:$IMAGE_TAG &gt; imagedefinitions.json\r\nartifacts:\r\n    files: imagedefinitions.json<\/pre>\n<p id=\"613b\" class=\"graf graf--p graf-after--pre\"><em class=\"markup--em markup--p-em\">The parts to be edited with the specific names of your project are in bold.<\/em><\/p>\n<p id=\"28de\" class=\"graf graf--p graf-after--p\">CodePipeline is the AWS service for implementing the automation with very low management and configuration effort. We will rely on CodeBuild to execute the file with the instructions (buildspec.yml) to perform image build operations.<\/p>\n<p id=\"a93b\" class=\"graf graf--p graf-after--p\">So let us start with\u00a0<strong class=\"markup--strong markup--p-strong\">the pipeline configuration<\/strong>\u00a0by creating a new one on CodePipeline:<\/p>\n<ol>\n<li id=\"9a67\" class=\"graf graf--p graf-after--p\">Select \u201cCreate pipeline\u201d.<\/li>\n<li id=\"d190\" class=\"graf graf--p graf-after--p\">Follow the wizard. It will be possible to update your service automatically without any additional effort.<\/li>\n<li id=\"4ec6\" class=\"graf graf--p graf-after--p\">Choose your GIT repository (CodeCommit or compatible) as a source in the second step.<\/li>\n<li id=\"8b29\" class=\"graf graf--p graf-after--p\">Next, configure the Build step. Select CodeBuild and the option for creating a new one.<\/li>\n<li id=\"afe6\" class=\"graf graf--p graf-after--p\">Give a univocal name to the build project in the sub-wizard.<br \/>\nChoose\u00a0<strong class=\"markup--strong markup--p-strong\">Ubuntu<\/strong>\u00a0as the operative system and\u00a0<strong class=\"markup--strong markup--p-strong\">Docker<\/strong>\u00a0as Runtime.<\/li>\n<li id=\"286f\" class=\"graf graf--p graf-after--p\">Then select the docker version that best suits your purposes.<\/li>\n<li id=\"9583\" class=\"graf graf--p graf-after--p\">Save by completing the last step of the sub-wizard and return to editing the pipeline.<\/li>\n<li id=\"e60e\" class=\"graf graf--p graf-after--p\">Configure the Deploy step where you can choose <strong class=\"markup--strong markup--p-strong\">Amazon ECS<\/strong>.<\/li>\n<li id=\"b201\" class=\"graf graf--p graf-after--p\">At step 4, indicate the cluster name previously configured by hand and the name of the service to be updated.<\/li>\n<li id=\"41fd\" class=\"graf graf--p graf-after--p\">For step 5, simply select the option so that CodePipeline can create a role for the execution of the pipeline and configure it for us. This role is used by CodePipeline to modify ECS. It is managed by Amazon and has the minimum set of permissions to make everything work.<\/li>\n<li id=\"854b\" class=\"graf graf--p graf-after--p\">Save the pipeline.<\/li>\n<\/ol>\n<p id=\"97a1\" class=\"graf graf--p graf-after--p\">At this point, the pipeline will try to run automatically, and it will\u00a0<em class=\"markup--em markup--p-em\">fail.<\/em><\/p>\n<p id=\"2d70\" class=\"graf graf--p graf-after--p\"><strong class=\"markup--strong markup--p-strong\">This is an expected failure:<\/strong>\u00a0the reason lies in the fact that the Wizard has created a CodeBuild role for us. However, this does not have all the necessary permissions to push the image to ECR.<\/p>\n<p id=\"6874\" class=\"graf graf--p graf-after--p\">To solve this, identify the generated role whose name follows this convention: code-build-build-project-name-service-role. Then add the following permissions:<\/p>\n<p id=\"9276\" class=\"graf graf--p graf-after--p\"><strong class=\"markup--strong markup--p-strong\">AmazonEC2ContainerRegistryPowerUser<\/strong>\u00a0to see the running pipeline.<\/p>\n<p id=\"6019\" class=\"graf graf--p graf-after--p\">If everything worked as expected, then the pipeline will now function. Further, the service will be automatically updated at every commit on the chosen branch.<\/p>\n<p id=\"b123\" class=\"graf graf--p graf-after--p\">Containers are increasingly at the center of the DevOps scene. As a result, it is important to know the available tools for making thoughtful and effective project choices. We hope to have been helpful to you in this regard.<\/p>\n<p id=\"c450\" class=\"graf graf--p graf-after--p\">Please share with us your results, observations, doubts, and ideas\u2026 Our team is looking forward to furthering this topic with you!<\/p>\n<p id=\"13e7\" class=\"graf graf--p graf-after--p\"><em class=\"markup--em markup--p-em\">[ATTENTION, SPOILER!]<\/em><\/p>\n<p id=\"da78\" class=\"graf graf--p graf-after--p\"><em class=\"markup--em markup--p-em\">If you are intrigued by this subject, keep following us:\u00a0<\/em><strong class=\"markup--strong markup--p-strong\"><em class=\"markup--em markup--p-em\">a creative way to get a highly personalized automatic pipeline that uses containers as a means of automation is coming your way.<\/em><\/strong><\/p>\n<p id=\"3935\" class=\"graf graf--p graf-after--p graf--trailing\">Stay tuned!\u00a0\ud83d\ude09<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In this article, we explain how we have created a Continuous Delivery (CD) pipeline capable of producing a docker image [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":636,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[242],"tags":[292,367,286,260,365,369],"class_list":["post-618","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-devops-en","tag-aws-codebuild-en","tag-aws-codecommit-en","tag-aws-codepipeline-en","tag-aws-fargate-en","tag-ci-cd-en","tag-continuous-delivery-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.7 - 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