Performance & data
Heroku made sense when you shipped. If the bill, the add-on sprawl or the region list has stopped making sense, the move to Cloud Run is a container and a pipeline — not a rewrite. We plan it, run it, and leave you able to roll back.
A Heroku dyno and a Cloud Run service do the same job: run your container, scale it, put a URL in front of it. Most Node.js applications move without their code changing. What changes is everything around the code — how it is built, where secrets come from, which identity it runs as, and what happens when a deploy goes wrong.
That surrounding layer is the whole engagement. We containerise the app, wire GitHub to Cloud Build and Artifact Registry, move config out of dyno env vars into Secret Manager, give the service its own IAM identity instead of a shared key, and keep the Heroku app running until the new one has proven itself.
Technologies
Dyno hours and paid add-ons have grown past what the workload justifies, and you want a runtime that scales to zero between traffic.
A Node.js service your store depends on needs a deployment model with real build provenance, managed secrets and per-service identity.
Compliance, latency or a security review has asked for something the dyno model does not offer.
We list every dyno, add-on, scheduled job and config var, and mark which are load-bearing, which are dead, and which have a managed Google Cloud equivalent.
The app gets a Dockerfile and a build that produces the same image locally and in CI, so what you test is what deploys.
GitHub triggers Cloud Build, images land in Artifact Registry, Cloud Run deploys the revision, and the service runs as its own IAM identity reading from Secret Manager.
Both environments run while we compare behaviour and logs. DNS moves last, and the Heroku app stays deployable until you decide otherwise.
Real projects that used this capability. Every one shipped.
Tell us about your store and your goals. We'll come back with a clear, honest plan and a transparent quote.