GitLab

My organization is using git for the source code management like pull, push, merge request and changes history. We are also using GitLab to track the issues and resolutions. Its also provide some linking with the other issues tracking tools like MantisBt, Jira, Trello etc. It has options to connect with jenkin and other build creation tools, That helps allot at the time of QA and UAT.

• Its impact positively on our business because before using the gitlab we did some harmfull codes live without review. But now we are reviewing our codes with the help of GitLab.
• Issues are resolving in the proper time period.
• Productivity increased becasue of the proper development steps.

GitHub and Bitbucket

Atlassian Confluence, Issue History for Jira, Darwinbox

We use GitLab mainly for code hosting, CI/CD, and issue tracking. It helps us in keeping development organised, automating deployments, and making collaboration easy. Our scope is pretty standard: managing source code, running tests, deploying services, and tracking bugs/features all in one place. We also use it for a few non-technology projects (but for people who are in close collaboration with the engineering team).

• ROI is just create, it can't be better

GitHub

Microsoft Visual Studio Code, Google Cloud Platform

We use GitLab as a source code repository and the main build environment for most of our projects. It allows us to have a comprehensive CI environment that easily separates the quick developer flow with the more comprehensive acceptance testing for a release.

• Positive - simple workflows, easy day to day work
• Negative - added overhead when major features need to be conceptualized across different projects
• Positive - easy to launch a new project

GitHub

IntelliJ IDEA, Docker, Atlassian Jira

GitLab serves as the backbone of our entire software development lifecycle. Our engineering team uses GitLab for source control, code review, and CI/CD across multiple codebases.

MR-based workflows help enforce code standards and keep our team aligned on shared codebases, spanning multiple stacks.

• Lower cost than alternatives
• Streamlines our team's workflows
• Holds us accountable to our work

GitHub and Atlassian Bitbucket

Linear App, Slack, Anthropic Claude, PhpStorm, Android Studio, Microsoft Visual Studio Code

We are using GitLab primarily to implement a DevSecOps dataops-like solution, so it is a main orchestration plus code repository that links all other tools to help create data products that are published in a shoppable marketplace.We have linked DBT, Monte Carlo, Talend, Snowflake, Collibra, collibra all with GitLab to allow us to create data products.

• Devsecops implementation is quite easy
• Dataops implementation is also very straightforward
• We are able to do weekly releases which were earlier once a month.
• Developers velocity has increased.

GitHub and Apache Airflow

Monte Carlo