This article demonstrates how to set up a full database CI/CD pipeline on Azure DevOps using Bytebase, covering Docker deployment, ngrok configuration, GitOps integration, SQL review automation, approval processes, schema write‑back, and migration detection, with step‑by‑step instructions and code examples.
This guide walks through registering Bytebase Cloud, configuring GitOps for database SQL review with GitLab, testing the workflow, and examining the CI/CD script that automatically reviews SQL changes, while also discussing practical considerations and feedback from the experience.
This guide explains why traditional DBA tasks are tedious, introduces Bytebase as a reliable database CI/CD platform, and provides step‑by‑step instructions for deploying Bytebase and PostgreSQL on Kubernetes, configuring GitLab integration, managing users, instances, projects, environments, and performing schema changes and data operations.
This article walks through setting up a local MySQL cluster, configuring Ngrok, deploying Bytebase via Docker, enabling GitOps integration with GitHub, and managing SQL schema changes through automated pull‑request workflows, providing code snippets and detailed screenshots for each step.
This article walks through a hands‑on experience of deploying Bytebase via Docker‑Compose, configuring test and production environments, adding database instances, linking them to projects, performing a schema change with SQL, verifying the update, and completing the associated work‑order, offering practical insights for database DevOps practitioners.
This article provides a step‑by‑step guide to seamlessly integrate Bytebase’s SQL review feature into GitHub and GitLab CI/CD pipelines, covering prerequisite setup, configuring the SQL review CI, and verifying automatic SQL script checks on merge requests.
