Best integrations for GitLab 2025
These integrations let you build advanced automations with your GitLab projects. See the top picks below.
Jira
Keep development and project tasks aligned. When GitLab issues change, Jira tasks update automatically. This reduces manual updates and ensures everyone sees the latest status. Automate issue creation in Jira from GitLab commits. Gain complete visibility across both platforms. Project status reports become faster and more reliable.
Slack
Send GitLab commit statuses and pipeline alerts to Slack channels. Notify teams of new branches, merge requests, or code deployments. Customize messages based on event type and severity. Share updates with relevant stakeholders in real time. Centralize notifications for faster incident response and improved coordination. Use slash commands to trigger GitLab actions directly from Slack.
Google Sheets
Export GitLab issue data to Google Sheets for reporting. Track progress, calculate cycle times, and visualize team workload. Automate report generation. Share insights with stakeholders who need details. Import data from Sheets to update GitLab issues in bulk. Maintain accurate project records and improve data-driven decisions.
AWS S3
Archive GitLab repository backups to AWS S3 for disaster recovery. Store artifacts from your CI/CD pipelines. Automatically move large files and logs. Manage storage costs with S3 lifecycle policies. Ensure data durability and availability. Simplify compliance with data retention requirements. Secure code and assets in a scalable cloud storage.
GitHub
Mirror code repositories between GitLab and GitHub. Synchronize codebases for distributed teams. Automate issue tracking across platforms. Support migration strategies with automated processes. Keep multiple repositories aligned. Simplify collaboration when working with external partners who use GitHub. Unify workflows across systems.
Datadog
Monitor GitLab performance metrics in Datadog. Track build times, error rates, and resource utilization. Create alerts based on thresholds. Visualize key performance indicators on dashboards. Identify performance bottlenecks. Gain insights into the health of your GitLab instance. Use data to improve the speed and quality of your development process.
SonarQube
Run automated code analysis with SonarQube from GitLab CI/CD pipelines. Check for code quality issues and security vulnerabilities. Fail builds based on quality gate results. Prevent defective code from reaching production. Enforce coding standards and best practices. Improve code quality and reduce technical debt over time.
ServiceNow
Automatically create incidents in ServiceNow from GitLab alerts. Streamline incident management workflows. Synchronize data between platforms to provide context for support teams. Reduce manual data entry and improve response times. Manage infrastructure changes through automated deployment pipelines. Ensure proper change management practices.
Microsoft Teams
Post notifications to Microsoft Teams channels from GitLab events. Notify team members about new commits, merge requests, and deployments. Use rich formatting to highlight key information. Improve team collaboration and communication. Keep everyone informed about project activity. Trigger GitLab actions directly from Teams using bot commands.
PostgreSQL
Back up GitLab data to a PostgreSQL database. Automate database backups and restores. Use the data for reporting and analytics. Create custom dashboards to visualize key metrics. Improve disaster recovery capabilities. Ensure data integrity and availability. Comply with data governance policies.