Connect Heroku to automate application deployments and infrastructure management workflows. Integrate Heroku with 3,000+ apps to manage dynos, add-ons, and configuration updates.
The connector is listed in the integration directory. Example actions require a reviewed build and may need additional provider permissions or setup.
Heroku integration enables you to automate application lifecycle management, scale resources dynamically, and coordinate deployment workflows across your development pipeline.
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.
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.
Build a system that monitors application performance metrics from New Relic or Datadog and scales Heroku dynos based on traffic patterns and response times. Include cost controls by scaling down during off-peak hours and sending budget alerts to your finance team.
Automate database backup creation before deployments, execute migrations after successful builds, and verify data integrity using custom scripts. Coordinate Heroku Postgres operations with deployment timing and send completion confirmations to your development channel.
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Describe what you need. Cody handles the build, the connections, and the deployment.