Using Heroku Review Apps to Test Pull Requests Without Breaking the Bank
Learn how Heroku Review Apps give every pull request its own test environment, how to configure them with app.json, and how to keep costs under control.
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Learn how Heroku Review Apps give every pull request its own test environment, how to configure them with app.json, and how to keep costs under control.
Heroku dynos have an ephemeral filesystem that is lost on restart and cycling. Design for stateless apps with external storage, config vars, and managed data services, and verify behavior with dyno restarts and scaling checks.
Heroku Postgres point-in-time recovery lets you restore a database to any second within the retention window, enabling fine-grained rollback without rebuilding from scratch. Learn how to enable it, restore safely, and avoid common cost pitfalls.
Heroku Review Apps create temporary, isolated environments for each GitHub pull request. This guide covers the app.json setup, verification commands, and the dyno-hour and data-persistence limits that teams often miss.
Heroku's cheaper dynos sleep after ~30 minutes idle, causing slow cold starts. Here's how keep-alive pings work, their limits, and when upgrading is the right call.
Discover how Heroku Review Apps spin up per‑PR environments, configure them via app.json, and balance dyno usage for a smooth CI/CD workflow.
How to design a minimal, trust‑bounded Review App setup that stays within dyno limits, isolates data, and cleans up automatically when a PR closes.
Your app fails with connection refused errors when total simultaneous connections exceed Heroku Postgres max_connections. Compute the budget upfront, size pools small, and plan for deploy doublings and failovers.
Heroku gives you two scaling levers — bigger dynos or more dynos — and they solve different problems. Here's how to tell which one your app actually needs, and the database bottleneck neither one fixes.