
Overviews
How it works?
Deploy applications from code repositories
Trigger Heroku deployments when code is merged to specific branches in GitHub, GitLab, or Bitbucket. Streamline your release process by connecting version control events to automated deployment workflows that push changes to staging or production environments.
Scale dynos based on application metrics
Adjust Heroku dyno counts up or down when monitoring tools detect traffic patterns or performance thresholds. Optimize infrastructure costs and performance by connecting application metrics to automated scaling decisions.
Manage environment configuration updates
Update configuration variables across Heroku applications when changes are made in secret management or configuration tools. Maintain synchronized settings by propagating configuration updates from central sources to all relevant applications.
Coordinate database migrations with deployments
Execute Heroku run commands for database migrations before or after application deployments complete. Ensure database schema stays synchronized with application code by orchestrating migration timing within your deployment workflow.
Monitor and respond to dyno events
Receive notifications in team channels when Heroku dynos crash, restart, or experience errors. Enable rapid incident response by connecting dyno state changes to alerting systems and on-call schedules.
Manage add-on provisioning and configuration
Provision Heroku add-ons like databases, caching, or monitoring services when new applications are created. Standardize application infrastructure by automating the setup of required services for new projects.
Create review apps for feature branches
Generate temporary Heroku applications for testing feature branches when pull requests are opened. Enable comprehensive testing in isolated environments by connecting code review workflows to ephemeral application creation.
Archive logs to long-term storage
Stream Heroku application logs to cloud storage, logging platforms, or analytics services for retention and analysis. Maintain compliance and debugging capabilities by connecting log drains to your data warehouse or log management system.

Configure
Build
Continuous deployment pipeline
Create a workflow that deploys to Heroku staging when code is merged to the develop branch, runs automated tests, then promotes to production upon approval. Connect GitHub, your testing service, and Slack to coordinate the entire release process with visibility at each stage.
“You can’t do this anywhere else.”



















































Your stack,
connected.

