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Database Drift Detection & Schema Monitoring

Atlas Schema Monitoring provides a set of tools and features to help you manage, monitor, and detect drift in your database schema effectively. Teams can either deploy an agent (container) in their database VPC or use a GitHub Action to track schema changes and report metadata to the Atlas Cloud control plane. Using this metadata, Atlas provides:

  1. Live visibility of your database schema with automated ER diagrams and auto-generated documentation.
  2. A Changelog of all schema changes, so you can see how schemas change over time, and easily triage schema change related issues.
  3. Alerts Use Webhooks or Slack notifications to inform or alert teams that need to know about schema changes or drift detected.
github-icon.svg's imageGitHub Actions Quickstart

Get visibility into your database schema in under 5 minutes using GitHub Actions.

gitlab-icon.svg's imageGitLab CI/CD Quickstart

Get visibility into your database schema in under 5 minutes using GitLab CI/CD.

bitbucket-icon.svg's imageBitBucket Pipelines Quickstart

Get visibility into your database schema in under 5 minutes using Bitbucket Pipelines.

sql-icon.svg's imageAgent Quickstart

Get visibility into your database schema in under 5 minutes using the Atlas agent.

sql-icon.svg's imageLive Demo

See it in action with a live demo.

drift-icon.svg's imageDrift Detection

Automatically monitor schema drifts.

webhook.svg's imageWebhooks

Set up webhooks to receive notifications about schema changes and drifts.

Overview​

sql-icon.svg's imageHow it works

Learn about the key concepts and features of Atlas Database Schema Monitoring.

sql-icon.svg's imageDatabase Credentials and Security

Discover how to securely provide database credentials to the Atlas agent.

Deployment Guides​

kubernetes-icon.svg's imageHelm

Deploy the Atlas agent using Helm on Kubernetes.

terraform-icon.svg's imageTerraform (AWS)

Deploy the Atlas Agent to AWS using Terraform.