Production DevOps, automated

From a repo to production — on infrastructure you own.

AutoDeploy reads your repository, generates real infrastructure-as-code, and deploys it to your cloud — health-gated and reversible. You keep ownership of where it runs.

no credit card · open-source friendly · cancel anytime

autodeploy · deployLIVE
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connectgh app installed · 3 repositories linked
analyzedetected node@20 · next · postgres · redis
generatewrote Dockerfile · compose · deploy.yml · main.tf
reviewplan ready · +142 −0 · est. $38/mo
approveapproved by you · logged to audit trail
deploybuild 4m12s · image pushed · health-gated swap
verifyGET /healthz → 200 · p95 84ms · rollback armed
build4m 12s
regionus-east-1
commita1b9f3c
health200 OK
01Why it matters

Deploying is still too hard

Teams lose weeks — and focus — to infrastructure plumbing instead of the product. Three failure modes show up again and again.

01

Complex

Cloud infrastructure is powerful, but getting it right by hand takes expertise most teams can't spare.

02

Fragmented

Code, CI/CD, infrastructure and monitoring live in separate tools that never share a source of truth.

03

Risky

One misconfiguration becomes downtime, an incident, and a 2am page with no rollback plan.

02The pipeline

Seven stages. You approve the one that matters.

Everything up to Approve is automated and reviewable. Nothing touches your infrastructure until you say go.

01 CONNECT02 ANALYZE03 GENERATE04 REVIEW05 APPROVE06 DEPLOY07 VERIFY
  1. 01Connect

    Install the GitHub App and pick repositories. No pasted tokens, no webhooks to wire up by hand.

  2. 02Analyze

    AutoDeploy clones the exact commit and detects the language, framework, package manager, databases and services — per repository, not guessed per file.

  3. 03Generate

    Real infrastructure-as-code for what it found: Dockerfile, Compose, CI/CD, Kubernetes, Terraform — multi-stage, size-aware, reviewable.

  4. 04Review

    Side-by-side against any file you already have, plus a plan and a cost estimate. Nothing runs until you say so.

  5. 05Approve

    One click. Roles decide who can approve; every approval lands in the audit log.

  6. 06Deploy

    Build over SSH or real Terraform against infrastructure you own. Health-gated swap — the previous version stays up if the new one fails its probe.

  7. 07Verify

    Continuous health checks, AI-assisted failure diagnosis, Slack and email alerts, and one-click rollback to the exact prior commit.

03What it generates

It writes the config you'd have hand-rolled

One analysis pass produces every artifact your stack needs — multi-stage by default, sized to the app, and yours to inspect, edit and take elsewhere. Existing files are never silently overwritten.

generated · repo/
  • Dockerfilemulti-stage · non-root · 84 MB
  • compose.yamlapp + postgres + redis
  • .github/workflows/deploy.ymlbuild · test · deploy
  • k8s/deployment · service · ingress · hpa
  • main.tfvpc · ecs · rds · alb
  • ansible/site.ymlprovision · configure · restart
04Deploy & verify

Deployed, watched, and reversible

The swap only happens once the new version passes its health probe. After that: continuous checks, AI failure diagnosis, alerts, and one-click rollback to the exact prior commit.

instances3 → 8scaled on load
health probe200 OKevery 30s
p95 latency84 mssteady
rollback1 clickto any prior commit
› all systems operational
05Capabilities

Everything you need to ship to production

Infrastructure generation
Real, reviewable IaC tailored to what your repository actually needs across seven languages and every monorepo shape — not a template you edit down.
AI-assisted diagnosis
When a deployment fails, get a plain-language read on the real cause and what to change — not a raw stack trace to decode under pressure.
Deployment engine
Health-gated, zero-downtime swaps over SSH or real Terraform. The previous version stays up if the new one fails its probe.
Operational visibility
Every run, every log, live health — plus Slack and email alerts the moment a probe goes red.
Teams & billing
Roles, seats, usage and an append-only audit log in one place.
Bring your own cloud
Deploys to AWS, bare VMs or anything you can reach over SSH. Your accounts, your data, no lock-in.
06Your cloud, your control

Your cloud. Your control.

AutoDeploy automates the hard parts, but you keep full ownership of your infrastructure, data, and cloud accounts.

  • You own your cloud accounts
  • You approve every change
  • You control access and policies
  • We never lock you in
zsh — autodeploy

$ git push autodeploy main

Ready to ship faster?

Connect a repo and get your first real deployment in a session_

AutoDeploy pipeline: Connect — Install the GitHub App and pick repositories. No pasted tokens, no webhooks to wire up by hand. Analyze — AutoDeploy clones the exact commit and detects the language, framework, package manager, databases and services — per repository, not guessed per file. Generate — Real infrastructure-as-code for what it found: Dockerfile, Compose, CI/CD, Kubernetes, Terraform — multi-stage, size-aware, reviewable. Review — Side-by-side against any file you already have, plus a plan and a cost estimate. Nothing runs until you say so. Approve — One click. Roles decide who can approve; every approval lands in the audit log. Deploy — Build over SSH or real Terraform against infrastructure you own. Health-gated swap — the previous version stays up if the new one fails its probe. Verify — Continuous health checks, AI-assisted failure diagnosis, Slack and email alerts, and one-click rollback to the exact prior commit.