Learn about AWS CodeCommit
Wouldn’t you like to keep your entire focus on production as a developer, instead of managing and maintaining the repository? This is where AWS CodeCommit comes in. It has proven to boost the performance of an organization in various respects by providing a secure and fully managed service.
Introduction To AWS CodeCommit
AWS CodeCommit is a storage of source control and Amazon’s Version Code service. It helps the team manage and collaborate better code, utilising the benefits of CI / CD. This removes the need to provide oversight over the third party version. You can use this service to store assets like documents, source code, and binary files. This lets you handle the properties as well. Managing involves balancing, mixing, combining, pushing and pulling improvements to code. Let us take a closer look at CodeCommit ‘s services:
Managable Service:
When you are a DevOps developer, wouldn’t you like to concentrate solely on development rather than having alerts, handling your own hardware or software? AWS CodeCommit removes the stressful activities of handling the assets, which include high efficiency and reliability of operation.
Security:
Because it is a version control system, it will store your code. it stores any kind of records, either it is documentation or binary files. Stored data is kind of reliable as it is encrypted both at rest and in transit.
Scalable:
AWS CodeCommit allows you to adapt to changes according to your needs. The system can carry big repositories, a large number of large branched files and long commit history.
Integration:
The AWS CodeCommit can be easily integrated with other AWS services. It brings these programs close to other opportunities making them easier and faster to search and use to increase the speed and pace of life cycle growth. It also allows you to integrate software from third parties fairly easily.
Interactions Using Git:
Interacting with CodeCommit as its Git-based is extremely easy. Git Commands can be used to pull, push, combine or execute other actions. It also provides you the ability to use AWS CLI commands along with their very own APIs.
Workflow of AWS Code Commit
You can see the below Flow diagram to understand it better. it have three parts : Development Machine, CodeCommit Console, CodeCommit Service.
- To start with your project, you can use the AWS CLI or AWS CodeCommit Console to create a repository (remote) that will be reflected on your AWS CodeCommit service.
- Do a git clone from your development machine and you will receive a git clone request at the end of the CodeCommit service. This will eventually synchronize the remote repository created in step 1 and the local repository which has just been cloned.
- Using the local Production system registry to change the code. Run git add locally the modified files to the stage, git commit the files to be committed locally and git push the modified changes to CodeCommit. This will change the Remote Repository, in turn.
- Use git pull to download changes or modifications that are made by other team members working on the same repository. Update the remote repository to keep the local repository updated and send those updates to your development machine.
Now we are going to learn How create repository in AWS Code Commit.
Step 1: login to your AWS console,If you do not have an account, create new account as we have shown in our previous blog, Once you log-in, you should see a page as shown below:
Step 2: Search for the code commit option and click on that and then click on create repository option.
Step 3: After this you have to add the repository name, and description, add all the items and click on create option.
Step 4: After this you will get a success message as shoen in the below image.
Step 5: When we create a repository, it is always empty. we’ll have to create and add files. Go to the repository that we have created and click on Create file.
Step 6: After creating the file add your code to the file.
Step 7: After writting the code we have to commit the changes, Add Filename, Author name, Email ID, Commit message and click on Commit Changes.
Step 8: Now go back to the repository and and you can see the file you have created.
Step 9: Now we have to create branch, on the left side of your screen you can see branch option click on that option, nd then click on create branch button.
Step 10: Add your branch name and click n create branch option.
Step 11: after this you will see the success message as shown in the below image.
Step 12: click on the branch and you wills see your file you have created exist in your master branch.
Step 13: click on your file to do some changes.
Step 14: after done with the changes, commit the changes and click on Commit changes.
Step 15: Now we have two different branch so let us do the comparison between two, Click on Create Pull Request.
Step 16: Select the master branch as you’re comparing the current branch with the master branch. Click on Compare.
Step 17: The highlights all the differences in the master and the other branch.
Step 18: Now if you want to reflect these changes to your master branch, you can merge the two branches. Add Title and Description.
Step 19: click on create.
Step 20: Click on Merge to finally merge the two branches.
It takes us to the conclusion of the AWS article CodeCommit. This software will be combined with different DevOps tools and the construction process can be made smoother. I hope that blog has been helpful.
Happy coding!!!!!
