I have worked with AWS CodeCommit at both Huntington and Walgreens, where I managed their cloud infrastructures using core AWS services. We used AWS CodeCommit as our Git repository for banking platforms and banking application microservices code. I primarily use AWS CodeCommit as our central Git repository for application code and infrastructure as code. For my current client, we organized our repositories by service domain, with one repo for each microservice in our banking platform. This helps us maintain clear ownership boundaries between teams. We heavily use the branch protection features to enforce our development workflow. A practical way we use AWS CodeCommit was to trigger notifications. We configured it to fire Lambda functions when commits happen to certain branches, which then kicked off our CI/CD process. The integration with IAM rules was crucial for us.
I mainly use CodeCommit to commit my code and push it to the repository. Whenever I develop code in the local environment, I use CodeCommit to check in and put the code onto the remote repository and trigger the pipeline.
We use AWS CodeCommit for existing customers whose workloads are already integrated with it. However, for new customers, we use different version control systems like GitHub, Bitbucket, and GitLab.
AWS CodeCommit is used for continuous integration and continuous development. We use the solution to push a code onto the production environment, whether on S3 or EC2. It will create a CI/CD pipeline.
AWS CodeCommit is a fully-managed source control service that hosts secure Git-based repositories. It makes it easy for teams to collaborate on code in a secure and highly scalable ecosystem. CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.
I have worked with AWS CodeCommit at both Huntington and Walgreens, where I managed their cloud infrastructures using core AWS services. We used AWS CodeCommit as our Git repository for banking platforms and banking application microservices code. I primarily use AWS CodeCommit as our central Git repository for application code and infrastructure as code. For my current client, we organized our repositories by service domain, with one repo for each microservice in our banking platform. This helps us maintain clear ownership boundaries between teams. We heavily use the branch protection features to enforce our development workflow. A practical way we use AWS CodeCommit was to trigger notifications. We configured it to fire Lambda functions when commits happen to certain branches, which then kicked off our CI/CD process. The integration with IAM rules was crucial for us.
I mainly use CodeCommit to commit my code and push it to the repository. Whenever I develop code in the local environment, I use CodeCommit to check in and put the code onto the remote repository and trigger the pipeline.
I use this for pretty much everything. I work with Glue, pipelines, CodeCommit, and CoPipeline. I use Kinesis and Kafka.
We use AWS CodeCommit for existing customers whose workloads are already integrated with it. However, for new customers, we use different version control systems like GitHub, Bitbucket, and GitLab.
AWS CodeCommit is used for continuous integration and continuous development. We use the solution to push a code onto the production environment, whether on S3 or EC2. It will create a CI/CD pipeline.
We use the solution for Git purposes and to deploy the EC2 tool.
We use AWS CodeCommit to store data, create instances and work on them.