Summary of DevOps with GitLab CI Course - Build Pipelines and Deploy to AWS

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00:00:00 - 01:00:00

This video tutorial covers the basics of using GitLab CI to build pipelines and deploy to AWS. It includes an overview of the GitLab architecture, creating and testing jobs, and adding a keyboard to a laptop build. Mistakes made during pipeline creation are highlighted, and it is emphasized that checking and confirming pipeline configuration is essential for successful project execution.

  • 00:00:00 This course introduces the viewer to GitLab CI and DevOps. Valentine demonstrates how to use GitLab CI to build pipelines and deploy software to AWS. The course is aimed at beginners and is packed with resources to help with understanding specific topics.
  • 00:05:00 The video discusses how to set up GitLab CI and use it to build pipelines and deploy to AWS. It covers the following topics: - Configuring GitLab CI - Creating a pipeline definition file - Verifying your account.
  • 00:10:00 The DevOps with GitLab CI course covers how to build pipelines and deploy to AWS using GitLab. Credit card verification is available, but it is easier to follow the course with your own infrastructure.
  • 00:15:00 The video explains how to build a pipeline in GitLab CI using the yamo language. The first command is to create a folder, and the next is to create a file. The video also demonstrates how to use the cat command to view the contents of a file.
  • 00:20:00 The video tutorial demonstrates how to create and deploy a pipeline to AWS using GitLab CI. The main points covered are: adding a keyboard to a laptop build, committing changes and watching the pipeline run, and viewing pipeline logs. Mistakes made during pipeline creation are highlighted, and it is emphasized that checking and confirming pipeline configuration is essential for successful project execution.
  • 00:25:00 In this lesson, the instructor covers the basics of yaml, which is a data interchange format used in GitLab pipelines. He goes over how to create key value pairs, lists, and sequences, and how to use them in a pipeline. He also explains that the order of the properties in a yaml file does not matter.
  • 00:30:00 In this video, the author explains the importance of yaml, which uses indentation to show which value belongs to which key. For example, you can write hobbies as a key and then a list of values will belong to this key. Additionally, you can have nested structures in yaml. When writing gitlab ci pipelines, you don't have to use the same data structures every time; you have the liberty to design the pipeline however you want. However, when writing jobs, it is important to be aware of which keys are reserved and which cannot be renamed.
  • 00:35:00 In this DevOps course, you'll learn how to use GitLab CI to build and deploy to AWS. You'll also learn about the GitLab architecture and how to use runners to execute jobs.
  • 00:40:00 In this video, GitLab CI instructor Scott Hanselman demonstrates how to use GitLab CI to create and deploy Ruby on Rails applications to Amazon Web Services (AWS). First, he explains how to set up GitLab CI and create a pipeline. Next, he shows how to use GitLab CI to build a laptop and test it to make sure that it contains the required software. Finally, he shows how to add a test job to the pipeline and use the test command to check if a file exists.
  • 00:45:00 In this video, the instructor demonstrates how to configure GitLab CI to build and deploy to AWS. First, they create two stages in GitLab: a build stage and a test stage. The build stage executes the build laptop job, and the test stage executes the test laptop job. The instructor then shows how the job failure is logged and explains the meaning of the exit code. They then go on to explain how pipelines fail, and show how to debug the failure.
  • 00:50:00 In this video, the author demonstrates how to build a pipeline with GitLab CI and how to deploy to AWS. The author explains that, in order to save the output of a job, GitLab CI requires that artifacts be defined. The artifacts are an additional configuration that is added to the pipeline as the name tells GitLab CI not to save the artifact as a list, but to use paths. In this example, the artifacts are defined to include a file and a folder.
  • 00:55:00 This video covers the basics of DevOps with GitLab CI, including how to set up pipelines and deploy to AWS. The video shows how to use grep to inspect job artifacts and verify that they match expectations.

01:00:00 - 02:00:00

This video explains how to use GitLab CI to build pipelines and deploy to AWS. The video covers how to create a pipeline, how to use environment variables, and how to commit and push changes to the repository.

  • 01:00:00 In this video, the presenter explains the basics of DevOps with GitLab CI, including how to build pipelines and deploy to AWS. They also introduce the concept of tests, which help to ensure that the pipeline will fail if one of the tests fails.
  • 01:05:00 In this video, GitLab CI instructor Braden Walters demonstrates how to create pipelines and deploy to AWS using GitLab. He first defines a local variable and then a global variable, before explaining how to define a pipeline. He also shows how to use environment variables in order to keep track of specific settings across multiple jobs.
  • 01:10:00 In this video, GitLab CI instructor Michael S. Hart details the concepts of DevOps, which includes a cultural shift in mindset to encourage collaboration and communication between developers and sys admins. GitLab CI is a tool that helps automate tasks, such as building and deploying software, in order to save time and improve productivity.
  • 01:15:00 This 1-minute video demonstrates DevOps concepts, including GitLab CI and continuous integration. We learn about GitLab CI, how to create a pipeline, and how to use it to build and test a software project.
  • 01:20:00 In this video, the instructor demonstrates how to create a DevOps pipeline using GitLab CI. First, they install required dependencies. Then, they create a build project using the GitLab CI command "build". Next, they add a job to the pipeline to build the website. Finally, they commit and push the changes to the repository.
  • 01:25:00 The video discusses how to build pipelines and deploy to AWS using GitLab CI. The main points include specifying a version to use for a project, checking the availability of a tag, and committing and pushing changes to the GitLab repository. The job then takes longer to run due to the size of the image being downloaded and the dependencies being installed.
  • 01:30:00 The video describes how to use GitLab CI to build pipelines and deploy to AWS. In order to make the most efficient use of GitLab CI, the instructor suggests using smaller images. The specific image the instructor uses is 16-alpine. The job to be automated is to test the website. The first job is to create the skeleton job, and the second job is to run unit tests.
  • 01:35:00 In this video, the author discusses how to set up pipelines and deploy to AWS using GitLab CI. The author first discusses how to separate stages for different jobs, and then explains how to assign jobs to stages. The author also discusses how to declare artifacts and specify which image to use for the tests. Finally, the author shows how to run the unit tests.
  • 01:40:00 This YouTube video explains the DevOps concept of using GitLab CI to build and deploy to AWS. The video notes that GitLab CI allows developers to run tests before pushing changes to the main branch, which minimizes the chances of breaking the main branch. The video also explains the git feature branch workflow, which allows developers to create and merge new branches without committing changes.
  • 01:45:00 This video explains how to use GitLab CI to build and deploy pipelines to AWS. The main branch is disabled for commits to the main branch, and a new branch is created for each feature.
  • 01:50:00 This video discusses how to create and work with pipelines and commits in GitLab CI. The main focus is on adding a linter to the project, which will help with code quality assurance. The video also covers the review process, and how to merge a branch into the main branch.
  • 01:55:00 In this video, the instructor demonstrates how to build pipelines and deploy them to AWS using GitLab CI. First, they modify the commit message for the specific commit they're working on. Then, they merge the changes into the main branch. Finally, a new pipeline is generated and the main branch pipeline is run against the main branch to ensure everything is working properly.

02:00:00 - 03:00:00

This video demonstrates how to use GitLab CI to deploy a website to AWS. The video includes a policy for public reading of objects in a bucket, and demonstrates how to apply the policy.

  • 02:00:00 The video explains how to use GitLab CI to build pipelines and deploy to AWS. The instructor introduces an issue in a pipeline, and explains how to manually stop the job. Finally, they introduce changes that need to be made to the pipeline in order to test the server.
  • 02:05:00 The video demonstrates how DevOps can be implemented using GitLab CI. First, the server running forever we don't want is stopped in the background using a small trick. Then, the process of downloading a website with curl is explained. Finally, the job logs show that the process is successful.
  • 02:10:00 This YouTube video demonstrates how to structure a pipeline to deploy to AWS using GitLab CI. The video notes that failing fast is important, as is grouping similar-sized jobs together.
  • 02:15:00 In this video, the instructor explains how to set up a DevOps pipeline with GitLab CI and AWS. They discuss how to reduce the number of jobs needed to build, test, and deploy a website, and how to use a free account to get started.
  • 02:20:00 This video covers how to set up GitLab CI pipelines to deploy to AWS using GitLab. The instructor demonstrates how to create a bucket and upload a website to it using the AWS CLI.
  • 02:25:00 The presenter of the video explains how to deploy a application to AWS using GitLab CI. First, they create a new pipeline with the stage "deploy to S3." Next, they add an additional stage to the pipeline, which is to deploy the application after the ci pipeline is done. The presenter then commits and updates the pipeline. Finally, they test the deployment. The presenter notes that getting the upload to work will require a bit of learning and steps, but they will be making progress in that direction.
  • 02:30:00 This video introduces DevOps with GitLab CI by explaining how pipelines and deployments work with GitLab CI. The video shows how to create a file in GitLab and upload it to an AWS bucket using the aws cli tool. It then demonstrates how to fail the upload by printing the aws version and the last command executed, and explains why the upload failed. The video concludes with a discussion of how to protect variables in a pipeline.
  • 02:35:00 This video covers the basics of DevOps with GitLab CI - using branches and services, and how to protect variables. The example includes configuring a pipeline to work with an AWS S3 bucket and an AWS CLI command. The video then goes on to show how to resolve an error when trying to use a variable.
  • 02:40:00 In this video, the presenter shows how to create a new user and enable programmatic access to AWS using the aws cli. Next, they show how to set the region and variables needed for the project.
  • 02:45:00 This video covers the basics of using GitLab CI to build and deploy code to Amazon's AWS cloud. The first step is to create a GitLab CI project and set up credentials for accessing Amazon's AWS services. Next, the video shows how to upload a file to Amazon's AWS cloud using GitLab CI. Finally, the video explains how to use GitLab CI's various commands to manage files and folders on Amazon's AWS cloud.
  • 02:50:00 In this video, the instructor demonstrates how to use GitLab CI to build and deploy a website to AWS. First, they disable old jobs and re-enable build and test. Next, they upload the build folder to S3 and enable static website hosting. Finally, they check the logs to see which files were uploaded.
  • 02:55:00 This video introduces DevOps concepts with GitLab CI, and shows how to create pipelines and deploy to AWS. The video includes a policy for public reading of objects in a bucket, and demonstrates how to apply the policy.

03:00:00 - 04:00:00

This video provides an overview of how to use GitLab CI to build and deploy a web server application to AWS. The application is self-contained in a Docker container, and the video also provides information about potential costs associated with running these servers for a short amount of time.

  • 03:00:00 The video demonstrates how GitLab CI can be used to deploy changes to AWS. A pipeline is created to build, test and deploy to AWS. Rules are created to only deploy to the main branch if the branch is on the main branch or the commit is from the main branch.
  • 03:05:00 In this video, the author demonstrates how to use GitLab CI to build pipelines and deploy to AWS. GitLab CI includes a default branch that can be used to automatically update the code in a variable. The author also shows how to add another stage to the pipeline and how to test the deployment after it is completed.
  • 03:10:00 This video explains how to set up a DevOps pipeline using GitLab CI. The pipeline includes a build stage and a test stage, and it deploys the website to AWS S3.
  • 03:15:00 The video discusses the concepts of DevOps, continuous deployment and continuous delivery, and provides an overview of how GitLab CI works. The instructor demonstrates how to create a staging environment and a deployment pipeline, and then provides an example of how to use GitLab CI to deploy to AWS.
  • 03:20:00 The video demonstrates how to create pipelines and deploy to AWS, with a focus on GitLab CI. The video covers the following stages: deploy to s3, staging, and production. If there are any issues with a stage, the pipeline will break at production. The pipeline includes the following stages: deploy staging, test staging, deploy production, and test production.
  • 03:25:00 In this video, GitLab CI instructor James shows how to create and manage environments in GitLab. He explains how GitLab CI uses environment variables to identify the staging and production environments, and how to deploy to them. Finally, he demonstrates how to remove a deployed artifact from one environment and add it to another.
  • 03:30:00 The video demonstrates how to simplify a DevOps pipeline by reusing job configurations.
  • 03:35:00 This video explains how DevOps can be implemented with GitLab CI, by creating pipelines and deploying to AWS. The author shows how to get build information and deploy versions to staging and production.
  • 03:40:00 This video demonstrates how to use GitLab CI to build pipelines and deploy to Amazon Web Services (AWS). First, the video shows how to create a version.html file in the build folder that contains the application version. Next, the video shows how to create a new curl command to check the application version on the environment. Finally, the video demonstrates how to use the deploy template to create a deploy button and automatically deploy the application to staging and production when the build is completed.
  • 03:45:00 In this video, the presenter shows how to deploy a static website to AWS using GitLab CI. They also show how to dockerize the website and deploy it to Elastic Beanstalk using a Docker image.
  • 03:50:00 In this DevOps video, the presenter demonstrates how to use GitLab CI to build and deploy a web server application to AWS using Elastic Beanstalk. The application is self-contained in a Docker container, and the video also warns viewers about potential costs associated with running these servers for a short amount of time.
  • 03:55:00 In this video, you'll see how to create a docker image of a website, deploy the image to AWS, and check the deployed website's health.

04:00:00 - 04:55:00

This video teaches how to use GitLab CI to build pipelines and deploy to AWS. First, the video shows how to compile the code and build a docker image. Next, the video covers how to deploy the docker image to AWS using GitLab CI. Finally, the video demonstrates how to submit a merge request to merge the changes made to the project into the main branch.

  • 04:00:00 This video discusses the DevOps process of building and deploying docker images with GitLab CI. The main steps are to get a base image of nginx, write a specific tag for that image, and then copy everything in the build folder to the html folder for inclusion in the docker image. After that, you can run the docker build command to create the image. Finally, you need to define the image you want to use and the tag for it, and then run the docker image command to get the image.
  • 04:05:00 The devops course covers how to use GitLab CI to build and deploy docker images. After creating a job and docker image, the instructor shows how to list images and how to use docker images to run a job.
  • 04:10:00 The video discusses how to use GitLab CI to build pipelines and deploy to AWS. GitLab CI allows for the use of variables to specify user and password credentials for logging in to the registry.
  • 04:15:00 This YouTube video shows how to use GitLab CI to build a docker image and deploy it to AWS. First, the video shows how to create a build pipeline using GitLab CI. Then, the video shows how to deploy the docker image to AWS. Finally, the video shows how to verify that the docker image is working properly.
  • 04:20:00 This video explains how to use GitLab CI to deploy an application to Amazon AWS. First, the video explains the basics of GitLab CI, including how to configure pipelines and jobs. Next, the video shows how to use GitLab CI to deploy a docker image to Amazon AWS. Finally, the video explains how to use environment variables to substitute values in files that are used in the docker image deployment process.
  • 04:25:00 In this video, the author demonstrates how to set up and use GitLab CI to build and deploy to AWS. First, they install a dependency called gettext. Next, they use cat to check that the environment substitutions were successful. Finally, they use gitlab to generate a deploy token and copy it to the pipeline.
  • 04:30:00 In this video, the author demonstrates how to build pipelines and deploy to AWS using GitLab CI. First, they disable all previous jobs and then commit the pipeline. Afterwards, they take a look at the logs to see if there are any issues. When everything seems to be working, they deploy the image to a bucket and deploy the auth file to a registry. Finally, they use a different service to deploy the application to Elastic Beanstalk.
  • 04:35:00 In this YouTube video, the DevOps instructor discusses the steps required to create a pipeline and deploy an application to AWS using GitLab CI. The first step is to create an application version and update the environment. Next, the instructor shows how to specify the application name and source, and how to create the application version. Finally, the instructor explains how to specify the file to be deployed and the bucket to store the file.
  • 04:40:00 This video explains how to use GitLab CI to build pipelines and deploy to AWS. First, the video specifies the version label and source bundle. Next, the video explains how to trigger the deployment automatically. Finally, the video explains how to re-enable failed jobs and attach additional policies to a user.
  • 04:45:00 The video discusses DevOps with GitLab CI, and demonstrates how to build pipelines and deploy to AWS. After testing the deployment, the instructor updates the environment and tests the deployment again. The pipeline is still successful, so the instructor commits the changes and the pipeline runs. Finally, the instructor checks the deploy to production job.
  • 04:50:00 This video covers the steps necessary to deploy a code project to AWS using GitLab CI. First, the video shows how to compile the code and build a docker image. Next, the video covers how to deploy the docker image to AWS using GitLab CI. Finally, the video demonstrates how to submit a merge request to merge the changes made to the project into the main branch.
  • 04:55:00 This video teaches how to use GitLab CI to build pipelines and deploy to AWS.

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