Solutions · Engineering

Staging said it was fine.Prod had already drifted.

Config, pipelines and infrastructure drift away from what is actually running, quietly, until a deploy goes sideways. Supasprinkles catches config and pipeline drift before it ships, keeping your environments, CI/CD and runbooks reconciled to reality so main stays trustworthy.

Built for engineering teams
The daily drift

Everything passed locally. Then it hit main.

Systems move faster than the definitions that describe them. Every gap is small, until it is the root cause on the incident timeline.

Config that drifts from prod

A hotfix changed an env var directly in production. Staging, IaC and the next deploy still describe the old value.

Pipelines that quietly rot

It passed locally. The CI definition and what actually runs on main have drifted, and the flaky step has no owner.

Runbooks that lie

The incident runbook references infra you decommissioned two quarters ago. Nobody noticed until the page fired.

Dependency & infra skew

Terraform state and what is actually provisioned have diverged. Service versions are out of step and no one is sure why.

One source of truth

What's defined and what's running, always in lockstep.

Supasprinkles is not another tool in your stack. It is the layer that keeps the tools you already have honest with each other, encoding the declared, intended state of your system and reconciling every definition to what is genuinely deployed.

Config & environments

Staging, prod and your IaC reconciled to the same source of truth, not whatever was last touched by hand.

in sync

Pipelines & checks

CI/CD definitions matched to what actually runs, so green on main means green everywhere.

in sync

Runbooks & docs

Updated as infrastructure changes, so the runbook always describes the system you actually operate.

in sync
All reconciled to what is actually deployed, continuously.
A day in the life

A hotfix lands. Watch the drift get caught.

One real pass through an on-call week, from the 2am change that stops the bleeding to a system that already reflects it.

The trigger
A hotfix lands straight in prod
An on-call engineer bumps a timeout env var at 2am to stop the bleeding. It works.
The drift
Definition and reality diverge
The Terraform module, the staging config and the deploy manifest still carry the old value.
Caught
The genome flags the gap
Across Terraform state, the deploy pipeline and the runbook. Minutes after the change, not at the next post-mortem.
Corrected
The release operator drafts the reconciliation
Opens a PR that either codifies the live value into IaC or reverts prod back to match it, syncs staging and updates the runbook entry.
You, in the loop
The gate is where you decide
Codify the hotfix or revert prod to match your IaC. Either way the choice is yours at the PR, and nothing touches infrastructure-as-code until you make it.
Result
Prod, IaC and docs back in lockstep
Before the drift compounds into the next incident, not a quarter of stale config later.
On the beat

What keeps it reconciled.

Release operator

Tracks readiness across GitHub and Linear, reconciles config and IaC as it drifts, drafts release notes and flags what is not ready to ship, always behind your approval gates.

Guardrail playbooks

When risk thresholds are crossed, playbooks you have already approved act immediately to lock deployments or feature flags and route the drift to its owner. They run only the protective steps you signed off on, never anything new.

You set how autonomous each agent is. Guardrail locks are pre-approved and reversible, so they act the moment risk crosses the line, while the one irreversible step, merging into your IaC, always waits for your sign-off. Meet the agents
What changes

What engineering teams get back.

Config that matches prod, everywhere
A green main you can actually trust
Runbooks that describe reality
Fewer drift-shaped incidents at 2am
For engineering teams

Catch the drift.
Before it ships.

See Supasprinkles keep a system honest: config, pipelines and runbooks reconciled to what is actually running, with you in the loop.