Why There's Never Been a Better Time to Leave Heroku (Especially in the AI Era)
Blog post from Qovery
In 2026, Salesforce's decision to put Heroku into maintenance mode and end new Enterprise sales has created a pivotal moment for companies to transition from Heroku to their own cloud infrastructure. The advent of AI-driven migration tools has significantly reduced the complexity and time required for such transitions, allowing migrations that once took months to be completed in mere hours. As many engineering teams pivot towards AI-centric work involving machine learning services and autonomous agents, Heroku's limited capabilities and lack of future development make it an unsuitable platform. By moving to their own cloud accounts, organizations can maintain developer-friendly environments while gaining access to advanced infrastructure like Kubernetes, SOC2-grade isolation, and GPU workloads essential for modern AI applications. The current landscape, characterized by Heroku's stagnation and the rise of agentic infrastructure, presents an ideal opportunity for companies to make this transition before being locked into another year with a platform that no longer supports their growth ambitions.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Kubernetes | 19 | 1,993 | 294 | 100 | +1% |
| AI Agents | 7 | 4,874 | 1,103 | 240 | -1% |
| Platform Engineering | 3 | 1,249 | 211 | 81 | -3% |
| Secrets Management | 3 | 2,063 | 322 | 117 | -4% |
| AI Coding Assistant | 2 | 1,586 | 431 | 148 | -12% |
| Developer Experience | 1 | 384 | 227 | 88 | -19% |
| LLM | 1 | 5,172 | 1,006 | 220 | -43% |
| MCP | 1 | 6,026 | 689 | 188 | -15% |