Use cases · Replace DIY cloud stack

Stop being the platform teamShip the product

Keep the app. Drop the infrastructure project you never meant to own.

Start deployingSee application hosting
  • CI filesper service
  • proxymanual
  • certsrenewal job
  • secretscopied
  • managed dbother console
  • log sinkelsewhere
  • DNSregistrar
  • deploy.shtribal

dFlow

one release flow

Apps, databases, domains, logs, worker nodes.

Before

Releases depend on infrastructure memory.

The first setup looked simple. Months later, deploys wait on the person who remembers the wiring.

deploy-api.sh

only Jordan

renew-certs.sh

crontab on box-3

sync-env.sh

staging drifts

tail-prod.sh

SSH first

restart-worker.sh

hope

Collapse

Many pipelines. One operating path.

Each service had its own CI file and failure mode. dFlow keeps one release flow.

  • api.yml

    custom deploy order

  • web.yml

    different secrets

  • worker.yml

    separate runner

  • migrate.yml

    manual gate

dFlow release

Same path for web, worker, and data.

Runtime

Worker nodes in one workspace.

Compute you choose. Capacity visible without snowflake servers.

node-01

54%

dFlow compute

node-02

38%

your cloud

Debug

Logs and deploy state sit together.

Stop hunting the right dashboard before you can read the request.

service

GET / 200 18ms

railpack · Next.js

v22 live

standardize

Stop rebuildingthe same platform.

one path

Move the release path first. Keep compute choice flexible.

Start deploying