AWS CodeCommit – A New Home for Your Repository - NareshIT

No developer wants to waste time in repository administration and maintenance. They want to focus on production. "AWS Commit" can be very handy for all such developers. It caters to a fully managed and secure service. And it can better a company's activities in all facets. In this article, we are going to introduce CodeCommit, compare it with GitHub, see its workflow, discuss a case study, and finally end up with a demo. Naresh I Technologies is the number one computer training institute in Hyderabad, and it is among the top five computer training institutes in India. Contact us anytime for your complete AWS training.

- Introduction to AWS CodeCommit

AWS CodeCommit is for source control management and version control. Through it, the team is up with improved code management and collaboration, through better use of CI/CD.?And you do not require third-party version control. You can use this service for storing assets like documents, source code, and various binary files.?It also leverages to manage all these assets. And management covers scaling, integration, merging, push, and pulling of the code changes. Now let's look into the services being catered to by CodeCommit.

Fully Managed Service:

In case you are a DevOps Engineer. Won't you like to fully concentrate on the production rather than worrying about maintenance of the updates, hardware, or software management? Through "AWS CodeCommit," you can eliminate the tasks like managing resources and providing high services such as accessibility and sturdiness.

Store Code Securely:

It is version control, and you are storing your code. And it saves any form of data may it be documents or any binary files. Also, the data that you keep here is secure and in encrypted form in transit as well as at rest.

Work together and in parallel with code:

Any number of developers are allowed, though based on subscription, and you work on one section, and the other developer work on the other Each developer can push the updates and changes and merge in the "repository." And users can check the comment on each other code, which helps them write their code better.

Highly Scalable:

AWS CodeCommit allows you to scale up or down to meet your requirements. And CodeCommit can hold the biggest repositories, quite a large number of files with any number of branches, and any length of commit history.

Integration:

CodeCommit is integrable with any other AWS services. And it keeps all these services quite near to resources, which makes it simpler and speedier to fetch and scale up the speed as well as the frequency of the development life cycle. You can also integrate third-party services at your comfort.

Migration:

It's possible to migrate to CodeCommit at your comfort in any of the Git-based repositories.

- AWS CodeCommit vs. GitHub

Integrate with the Git:

It's quite simple to integrate with CodeCommit as it is Git-based. And you can use the Git commands for pulling, pushing, or performing any of the actions you do in Git. You also have the option to make use of "AWS CLI commands" as well as the APIs.

Cross-Account Access:

CodeCommit allows to cross-link of two AWS accounts, and hence it's easy to share the repositories securely amid those two accounts. And you will find a few things essential to have in your mind as you should not share the SSH keys or any of the AWS credentials.

- AWS CodeCommit Workflow

You need to look at the three parts- Your development machine, AWS CLI/CodeCommit console, and the CodeCommit Service. You execute a command using the AWS CLI or the CodeCommit console on your local machine, which is the development machine, and changes get registered on the CodeCommit service.

Perform a git clone on the local machine, and the request gets registered at the CodeCommit service end. And this ends up syncing the "remote repository" which you created in step 1 and the "local repository" which you cloned.

Make use of the "repository" on the local machine to perform code modification. Now execute Git add for staging locally "Modification," git commit to commit the files locally, and then git push to push all the new updates to CodeCommit. And this modifies the "repository" on the CodeCommit end.

And you can download the modifications and changes being done by others who are working on the "repository" through git pull. And you can update the "remote repository" and send all the updates to the development machine for keeping updated the "repository" on your local machine.

- Case Study: Gett

Gett happens to be an Israeli startup that connects taxi drivers with its customers. Customers can order a taxi via the Gett website and mobile app, which is GPS based. It is functional in more than 50 cities in the world which includes New York. Moscow and London. Let's see what they say about AWS. "We are flourishing annually at 300%, and we are up with this through AWS. It's possible to scale the services as per the demand and as fast as needed through AWS," as said by Lior Chief Architect, Gett.

The challenge:

Gett was registering great demand and needed to scale the website quickly as well as the mobile app to meet up with the requirement. More computing requirements get added to meet demand continuously. And Gett planned to keep up with the best performance at a lower price. Augmentation between the capacity and the performance was their demand. However, they are a startup and hence looking for all at a reduced cost. And they also wanted to get more information out of the data they collected.

And the required flexibility for production as well as development requirements. In production, they need to register changes at once, no matter what the computer or memory, while testing new technology in no time. Or it might be like coming up with a Hadoop cluster with tens of tens of nodes in no time. And they are also required to test configurations and keep up with new systems for the developers to do the testing before going live.

Why Amazon Web Services

They choose AWS to meet all their requirements. It's the most advanced cloud technology, and it caters to the broadest range of services, and that's why Gett choose AWS.

They run the mobile apps and websites on EC2 instances and make use of Auto Scaling for scaling its capacity and EMR for processing "huge data." For "data warehouse," they use Redshift. And it uses CodeCommit for backup and disaster recovery related to various of its DevOps processes. Through "CodeCommit," they now don't require management of their source control system.

The Benefits

1.??????Better scalability.

2.??????Gett can now augment the capacity to optimize performance and at a reduced cost.

3.??????Gett with "Redshift" and "EMR" get hold of significant key performance indicators and metrics related to data.

4.??????Get is also up with more operational flexibility.?It now has the flexibility to deploy the code from GitHub or CodeCommit. And hence they are more agile and flexible. And updating code through CodeCommit is easy and saves a lot of them and money.

Gett is hence skyrocketing with AWS and looking forward to making use of more AWS services.

- Demo: Create A Repository in CodeCommit And Explore Its Features

Here you will see how you can create the "repository" on the CodeCommit, make a branch, commit the changes, and finally view them and merge them in the repositories. Let's see this below:

Step 1:You need to log in using an AWS account. You can make a free account if you don't have an account. And once you log in, you can then see the AWS management console.

Now you need to search for the CodeCommit and clunk on this. Now clunk on Create repository for creating the "repository."

AWS will ask you to add the repository name and the description. Mention these and then clunk on creating.

You will now see the success message.

You can connect in two ways with the "repository"- via SSH and HTTPS. Here, we are going to make use of HTTPS. The "repository" is ready, and you can move ahead and make files inside the "repository." The new "repository" is always empty. Move inside the "repository" and create a file.

After you have made the file, move forward, and add some code to the file.

Now after adding the code, commit the changes. You need to add the filename, Email id, author name, and the commit message, Now clunk on Commit changes.

Now when you clunk on "Repository" to navigate to the Repository section, then you will see the "repository."

Move ahead and clunk on the repository that you have made, and you will see the file.

So, what've branches are all about, and why we should use them?

Creation of the repository is done, and code gets added to the file.?Now we need to make branches. Can you guess why we need them? In the prod or dev environment, we are not the only coders. We have multiple. And different people work on a "different section" of one repository. Hence, all can be confused.

Hence, we use branches. Different people work on "different branches," commit them, and finally push them to the CodeCommit. And after the codes get verified, they are merged into the master branch. Coming up, we will see how we can make the branches, edit them, have to view to note the changes, check the current history, and finally merge the "branches" to the master branch.

Step 2: For creating the branches, we need to clunk on "branches," which you will find on the extreme right.

1.??????And now we need to clunk on the Create branch, which you will find in the top right.

2.??????Now add the branch name and the description, and finally, we need to clunk on Create branch.

3.??????You are now going to view the success message.

4.??????And once you clunk on the branch, you will see the file which is present in the master branch.

5.??????Let's move forward and perform some changes in this branch. Click on the text file.

6.??????Now clunk on the Edit.

7.??????Perform the changes which you need to and then commit the changes by mentioning the author's name, email address, and the commit message. Move forward and clunk on the Commit changes.

8.??????Make the changes as you wish and commit these changes by adding the Author name, Email Address, and Commit message. Go ahead and click on Commit changes.

9.??????Now you will see the success message.

10.??Now you are up with the master branch and one other branch that is somewhat different from the master branch. Compare and find the difference. Now clunk on "Create Pull Request."

11.??Now pick the master branch and compare it with the "current branch." Click on "comparing" now. You will see the "difference” “highlighted" between the two.

12.??Now you can have a look at the commit history. Click on the commits, which is just after the changes.

13.??Now suppose you are ready with the changes made in the branch, and you need to merge this with the master branch. You can do that. Add the description and the title.

14.??Now clunk on Create.

15.??You will see the success notification for your pull request.

16.??Now clunk on Merge for finally merging the two branches.

Complete the tutorials on AWS CodeCommit. "CodeCommit" is integrable with all DevOps tools for easing the building process.

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