Application development is comprised of different stages. One such critical step is app deployment and code management. In this article, we’re going to share how you can use a deployment system that will enable you to automate the deployment and updating of your application – AWS CodeDeploy. It’s one of the three AWS tools which will help you integrate, deploy, and manage your app on the cloud: CodeDeploy, CodeCommit, and CodePipeline.
What Exactly is AWS CodeDeploy?
AWS CodeDeploy is deployment system that enables a developer or a team of developers to automate the software release process. In other words, it is a collection of settings that relates to the environment on which the application is to be deployed, how many instances can be implemented at once, and so on. It efficiently deploys your code to a fleet of EC2 instances while leaving as much of the fleet online as possible. The size of a fleet can vary from a single instance to thousands of instances.
The first step to getting started with AWS Code deploys is setting up EC2 instances. Then, you’ll need to tag them – this will allow you to define deployment groups, install the CodeDeploy agent on your hosts, and set up trust-roles to allow communication between the CodeDeploy and CodeDeploy agents.
The Key Functions of CodeDeploy
CodeDeploy also specifies information regarding the trusted role which automates the communication between the various EC2 instances and CodeDeploy. However, CodeDeploy doesn’t specify the code to be deployed or what to do during the deployment. The code to be implemented is stored as an archive in S3 and is referred to as an Application Revision. The “how to deploy” component of CodeDeploy is specified by the AppSpec file located inside the Application Revision. Here’s what you need to know about them:
- AppSpec: This file resides in the repo and communicates with the CodeDeploy by indicating applications to be deployed, the location in they are to be deployed to, and allow you to specify the lifecycle scripts. These scripts are to be run at different stages during deployment and can be used to stop the service, install dependencies, and run database migrations.
- Application Revision: It is a zip file which contains all the codes to be deployed. You can create it by packaging up the entire repo or a sub-directory of the repo. This file must be stored in the application review using the syntax <application-root>/appspec.yml.
Since you will have one application in your repo when you package up the entire repo, you can then create your Application Revision (excluding the .git). When you do this, appsec.yml needs to be replaced in your repo root directory.
Now that we’ve learned what CodeDeploy is and established how it works, let’s move on to the steps which will show you how to deploy an application from GitHub with AWS CodeDeploy.
Deploying an Application from GitHub with AWS CodeDeploy
- Installing and setting up your GitHub account: First download and install GitHub on your system. If you want to use AWS CLI to install a revision from GitHub over the instance, also install and configure the AWS CLI.
- For creating a repository, you will be required to open GitHub account, so start with registering. You will just need to provide an email address, a username, and also the password.
- Creating a GitHub repository: The next step after registering is creating a repository which will be used to store a revision. If you have an existing repository, rename it to CodeDeployGitHubDemo and skip this step and move ahead. However if you don’t then follow these steps:
Now over the GitHub home page, perform either of the subsequent steps:
- Over Your repositories, select New Repository.
Over navigation bar, select Create new (+), and pick New repository.
Now, over Create a new repository page, perform the following task:
Over the Repository name box, type CodeDeployGitHubDemo. Choose Public. Remove Initialize this repository with README check box. You need to create a README.md file in the following step. Select Create repository Now, after creating a repository, you will need to follow the following instruction for using the command line. These guidelines differ from the operating system you're using:
For Unix or Linux: From the terminal, you need to run the below-mentioned commands, in sequence, where the username will be your GitHub username.
mkdir /tmp/CodeDeployGitHubDemo cd /tmp/CodeDeployGitHubDemo touch README.md git init git add README.md git commit -m "My first commit" git remote add origin https://github.com/user-name/CodeDeployGitHubDemo.git git push -u origin master
You should then leave the command prompt open in the /tmp/CodeDeployGitHubDemo location.
For Windows: As an administrator, from the command prompt, run the following commands, in sequence:
mkdir c:\temp\CodeDeployGitHubDemocd c:\temp\CodeDeployGitHubDemonotepad README.md
Now, in the notepad save the README.md file. Close the notepad. Run the following commands, in sequence, where again the username will be your GitHub username:
git init git add README.md git commit -m "My first commit" git remote add origin https://github.com/user-name/CodeDeployGitHubDemo.git git push -u origin master
Then leave the command prompt open in the /tmp/CodeDeployGitHubDemo location.
- Uploading the Application to your GitHub Repository: When you’re uploading the application using a revision make sure it follows the guidelines in Plan a Revision and Add an AppSpec File which we discussed earlier.
- If the change follows the guidelines, then you’re ready for deploying the application to the instance.
- Procuring an Instance: You will need to create an Amazon EC2 instance running any server such as Linux, Windows, RHEL or Ubuntu instance configured for use in AWS CodeDeploy deployments. Once you have verified and installed an instance set with AWS CodeDeploy, proceed to the next step.
- Connecting the Application to the Instance: Now you are required to use the AWS CodeDeploy console for deploying the revision from the GitHub repository to the instance. Shadow the following steps for using the change:
- You need to sign into the AWS Management console and then open the AWS CodeDeploy console and sign in using the credentials used earlier.
Select create new applications and key CodeDeployGitHubDemo-App.
Now, over the deployment group name box, key in CodeDeployGitHubDemo-DepGrp and choose a type tag.
Now, go to the Deployment Config, Service Role ARN.
Select Create Application.
Over the Application details page, in Deployment groups, select the button next to CodeDeployGitHubDemo-DepGrp.
In the Actions menu, select Deploy New Revision.
Over the Create New Deployment page, in the Revision Type area, select My application is stored in GitHub.
Select Connect with GitHub. The page which appears will ask you to authorize AWS CodeDeploy for interacting with GitHub for the application known as CodeDeployGitHubDemo-App.
Shadow the instructions over the Sign in the page to sign in with the GitHub account.
Now, on the Authorize application page, select Authorize Application.
On the AWS CodeDeploy Create New Deployment page, in the Repository Name box, key in the GitHub username which you had used while signing in, followed by a forward slash (/), followed by the name of the repository where you pushed your application revision (for instance, My-GitHub-User-Name/CodeDeployGitHubDemo)
If you are not sure about value to type, or if you need to specify a different repository:
- In a different web browser tab, open your GitHub dashboard.
- In Your repositories, hover your mouse pointer on the target repository name. A tooltip will appear which will display the GitHub user or organization name, followed by a forward slash character (/), followed by the name of the repository. Key in this displayed value on to the Repository Name box.
Over the Commit ID box, key in the ID of the commit associated with the push of your application revision to GitHub.
If you are not sure of the value to type:
- In a different web browser tab, open your GitHub dashboard.
- In your repositories, select CodeDeployGitHubDemo.
- In the list of commits, search and copy the commit ID associated with the push of your application revision to GitHub. The ID is typically 40 characters in length and comprises both numbers and letters.
- Key in the commit ID into the Commit ID box.
Leave the Deployment Description box blank.
Leave the Deployment Config drop-down list at the default of CodeDeployDefault.OneAtATime,
and select Deploy Now.
You now know how to deploy an application with GitHub and AWS CodeDeploy. If you have any questions, be sure to leave a comment below. For more information about CodeDeploy and other development best practices on AWS, take a look at our Developer Fundamentals for AWS course. It’s jam-packed with information about CodeDeploy, CodeCommit, and CodePipeline.
Reference: Tutorial: Deploy an Application from GitHub Using AWS … (n.d.). Retrieved from http://docs.aws.amazon.com/codedeploy/latest/userguide/github-integ-tutorial.htm.
New Content: Azure DP-100 Certification, Alibaba Cloud Certified Associate Prep, 13 Security Labs, and Much More
This past month our Content Team served up a heaping spoonful of new and updated content. Not only did our experts release the brand new Azure DP-100 Certification Learning Path, but they also created 18 new hands-on labs — and so much more! New content on Cloud Academy At any time, y...
AWS Certification Practice Exam: What to Expect from Test Questions
If you’re building applications on the AWS cloud or looking to get started in cloud computing, certification is a way to build deep knowledge in key services unique to the AWS platform. AWS currently offers 12 certifications that cover major cloud roles including Solutions Architect, De...
Overcoming Unprecedented Business Challenges with AWS
From auto-scaling applications with high availability to video conferencing that’s used by everyone, every day — cloud technology has never been more popular or in-demand. But what does this mean for experienced cloud professionals and the challenges they face as they carve out a new p...
Constant Content: Cloud Academy’s Q3 2020 Roadmap
Hello — Andy Larkin here, VP of Content at Cloud Academy. I am pleased to release our roadmap for the next three months of 2020 — August through October. Let me walk you through the content we have planned for you and how this content can help you gain skills, get certified, and...
New Content: Alibaba, Azure AZ-303 and AZ-304, Site Reliability Engineering (SRE) Foundation, Python 3 Programming, 16 Hands-on Labs, and Much More
This month our Content Team did an amazing job at publishing and updating a ton of new content. Not only did our experts release the brand new AZ-303 and AZ-304 Certification Learning Paths, but they also created 16 new hands-on labs — and so much more! New content on Cloud Academy At...
Blog Digest: Which Certifications Should I Get?, The 12 Microsoft Azure Certifications, 6 Ways to Prevent a Data Breach, and More
This month, we were excited to announce that Cloud Academy was recognized in the G2 Summer 2020 reports! These reports highlight the top-rated solutions in the industry, as chosen by the source that matters most: customers. We're grateful to have been nominated as a High Performer in se...
Which Certifications Should I Get?
The old AWS slogan, “Cloud is the new normal” is indeed a reality today. Really, cloud has been the new normal for a while now and getting credentials has become an increasingly effective way to quickly showcase your abilities to recruiters and companies. With all that in mind, the s...
New Content: AWS, Azure, Typescript, Java, Docker, 13 New Labs, and Much More
This month, our Content Team released a whopping 13 new labs in real cloud environments! If you haven't tried out our labs, you might not understand why we think that number is so impressive. Our labs are not “simulated” experiences — they are real cloud environments using accounts on A...
Kickstart Your Tech Training With a Free Week on Cloud Academy
Are you looking to make a jump in your technical career? Want to get trained or certified on AWS, Azure, Google Cloud Platform, DevOps, Kubernetes, Python, or another in-demand skill? Then you'll want to mark your calendar. Starting Monday, June 22 at 12:00 a.m. PDT (3:00 a.m. EDT), ...
New Content: AZ-500 and AZ-400 Updates, 3 Google Professional Exam Preps, Practical ML Learning Path, C# Programming, and More
This month, our Content Team released tons of new content and labs in real cloud environments. Not only that, but we introduced our very first highly interactive "Office Hours" webinar. This webinar, Acing the AWS Solutions Architect Associate Certification, started with a quick overvie...
Azure vs. AWS: Which Certification Provides the Brighter Future?
More and more companies are using cloud services, prompting more and more people to switch their current IT position to something cloud-related. The problem is most people only have that much time after work to learn new technologies, and there are plenty of cloud services that you can ...
Blog Digest: 5 Reasons to Get AWS Certified, OWASP Top 10, Getting Started with VPCs, Top 10 Soft Skills, and More
Thank you for being a valued member of our community! We recently sent out a short survey to understand what type of content you would like us to add to Cloud Academy, and we want to thank everyone who gave us their input. If you would like to complete the survey, it's not too late. It ...