Most of the time, databases are considered separate entities with their own development cycles. As a result, there is a major disconnect between database development and DevOps. You often see a situation where the application gets updated quickly with bug fixes and new features, yet the databases are lagging behind, slowing down the release process. The Isolation of databases from DevOps created a gap between the application developers and database admins/devs that led to bottlenecks and errors in the development process.
From a technical standpoint, the solution relies on a lightweight serverless function (such as an AWS Lambda) that receives GitLab webhooks via an API Gateway endpoint, formats the payload as structured logs, and ships them into Grafana Cloud Logs. Users can then use LogQL queries to analyze CI/CD activity by project, deployment success rates, or build times. Furthermore, these logs can be combined with application performance data in Grafana dashboards, for example, seeing error rates plotted alongside specific deploys or code changes.
GitLab is a comprehensive DevSecOps platform that integrates security practices into every phase of the software development lifecycle, providing a single application for various needs.
GitLab's integration with Amazon Q Developer enhances DevOps workflows, allowing tighter collaboration between AI agents and generative AI capabilities throughout the software development lifecycle.