Heroku to AWS in One Command, With an Agent Doing the Work (Webinar Replay)

A Qovery webinar replay demonstrates an AI-assisted approach to migrating a Ruby on Rails application from Heroku to AWS, where Claude Code uses Qovery’s skills and MCP server to inspect an app, map its web and worker dynos, PostgreSQL, Redis, scheduled jobs, secrets, and configuration to Kubernetes-based AWS resources, and deploy them from a single prompt. The session argues that organizations leaving Heroku must replace not only hosting but also its developer workflow, including deployment pipelines, review environments, add-ons, rollbacks, and one-off execution environments, while citing limits involving request timeouts, regions, private networking, and multitenant architectures. It compares alternatives such as EC2, ECS, other PaaS providers, and migration consultants, recommending that teams establish their platform layer, including accounts, clusters, environments, and CI/CD, before migrating application services. Although the agent can automate planning and deployment of stateless services, workers, and cron jobs, the presenters advise humans to approve infrastructure changes, validate configuration, and manage database migration, since Heroku Postgres does not support a fully zero-downtime migration path; suggested methods vary by database size and outage tolerance. Qovery positions its platform as retaining Heroku-like capabilities while keeping workloads and data in customers’ AWS accounts, with options for preview environments, shell access, ephemeral jobs, monitoring, autoscaling, and later Terraform export.

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