Leaving Heroku: Which Alternatives Need the Least Re-Architecture?
Blog post from Qovery
Choosing a Heroku alternative should focus less on feature checklists than on the re-architecture required for builds, add-ons, workers and cron jobs, and Review Apps workflows, since 12-factor application code is usually portable. The article proposes a 14-point rubric covering workload fit, data and add-on parity, deployment and preview-environment workflows, cloud-account ownership, cost at scale, and compliance or residency, with scores of 11–14 indicating a migration likely measured in days and lower scores suggesting more adaptation. It ranks Render and Railway as the closest managed PaaS replacements for standard web-plus-worker applications, places Fly.io next because of its Machines and networking model, identifies Aptible for compliance-focused needs, and argues that Vercel, Neon, and Upstash address only frontend or data-layer use cases rather than replacing Heroku outright. It presents Qovery, the author’s company, as a BYOC platform suited to teams leaving for cost, scale, cloud credits, compliance, or data-residency reasons, while noting that simpler managed platforms may be preferable for smaller teams. The recommended migration process begins with a detailed inventory, separates database migration from application cutover, uses logical PostgreSQL replication or dump-and-restore where appropriate, drains queue-backed Redis workloads, addresses static egress IP requirements early, and moves through staging, workers, web traffic, database cutover, and decommissioning in phases.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 16 | 3,185 | 361 | 109 | +15% |
| Developer Experience | 7 | 413 | 218 | 82 | -30% |
| Secrets Management | 6 | 1,985 | 445 | 125 | -23% |
| Platform Engineering | 4 | 1,090 | 244 | 75 | -24% |
| Serverless | 4 | 745 | 205 | 97 | -4% |
| AI Agents | 1 | 5,422 | 1,164 | 237 | -21% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.