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Comparison

InfraSync vs ControlMonkey

One of these runs your Terraform estate end to end. The other gets your estate into Terraform in the first place. That ordering is the whole comparison.

By Linxus Infotech Updated Sep 9, 2026 7 min read
  • These are sequential, not competing
  • What adopting a platform costs
  • Where ControlMonkey is the better choice
  • Where InfraSync is
  • Sitting in front of a pipeline you already have
  • Frequently asked questions

ControlMonkey and InfraSync both appear in searches for Terraform automation, and teams evaluate them side by side. In practice they solve consecutive problems rather than the same one, and knowing which problem you actually have makes the choice straightforward.

These are sequential, not competing

ControlMonkey is a Day-2 platform. GitOps pipelines for Terraform, self-service blueprints so teams can provision without filing tickets, drift detection with automated remediation, and disaster recovery. It assumes you already have Terraform and want to operate it properly at scale.

InfraSync is Day 0. It assumes you have AWS infrastructure that is not in Terraform, which is the situation in most brownfield accounts, and produces the code. Scan a live account, generate HCL across 89 services, review it, open a pull request.

If your infrastructure is already fully codified and your problem is operating it, ControlMonkey addresses that and InfraSync mostly does not. If half your account was built in the console years ago and nobody has ever written it down, no amount of pipeline sophistication helps until the code exists.

What adopting a platform costs

This is the part worth being clear about, because it does not show up in a feature matrix.

A GitOps platform is something your team adopts. Workflows change, the platform becomes the path through which infrastructure changes flow, and unwinding that later is a project. For a team standardising infrastructure across many squads, that is exactly the right investment and the standardisation is the point.

For a team whose immediate problem is that an AWS account is not in code, adopting a pipeline platform to solve it is a large amount of change for a narrow need. InfraSync deliberately does not ask for that. It is read-only, it opens a pull request into the repository you already have, and the output is ordinary Terraform with no runtime dependency on us. If you stop using it tomorrow, the code stays and keeps working.

Where ControlMonkey is the better choice

  • You want a full GitOps pipeline. Plan and apply orchestration, approvals and governance around Terraform runs is their core and not something InfraSync does.
  • You need automated drift remediation. InfraSync detects drift and proposes; it will not correct your account for you.
  • You need disaster recovery. A category InfraSync does not enter.
  • You are standardising self-service for many teams. Blueprints so squads provision safely without a ticket is a real organisational problem, and a scanner does not solve it.
  • Your estate is already in Terraform. Then the codification step is behind you and operating it is the live question.

Where InfraSync is

  • Your priority is the codification step. Live AWS to reviewable Terraform is the whole job, done well rather than as one feature among twenty.
  • You do not want to adopt a platform to get there. A read-only role and a pull request.
  • You want zero deploy surface. Nothing that can apply or destroy, so the blast radius of a mistake is bounded by what a read-only role can do.
  • You want to start today. Free trial, no sales call.
  • You want AWS cost analysis alongside. The honesty rules that keep a savings total defensible are implemented, not aspirational.

Sitting in front of a pipeline you already have

The most common real answer is that these compose. InfraSync codifies the legacy estate and opens a pull request. Your existing pipeline, whether that is ControlMonkey, Atlantis, Terraform Cloud or plain GitHub Actions, plans and applies it from there.

Because the handoff is a pull request into your own repository, there is nothing to integrate. If your pipeline already runs terraform plan on pull requests, the generated code gets planned before anyone merges it, which is the most useful review you can give it. That workflow is described here.

Frequently asked questions

Is InfraSync a ControlMonkey alternative?

Only if your problem is getting existing AWS infrastructure into Terraform. ControlMonkey is a Day-2 platform for operating a Terraform estate with GitOps pipelines, self-service blueprints, automated drift remediation and disaster recovery. InfraSync is the step before that, producing the code in the first place.

Does InfraSync run terraform apply?

No. InfraSync is read-only and has no ability to apply or destroy anything. It generates Terraform and opens a pull request, and whatever pipeline you already run plans and applies from there.

Can I use InfraSync with ControlMonkey?

Yes, and it is a natural pairing. InfraSync codifies the legacy estate and opens a pull request into your repository; your pipeline plans and applies from there. There is nothing to integrate because the handoff is an ordinary pull request.

Which is better for drift detection?

They target different things. ControlMonkey remediates drift automatically. InfraSync detects drift against an approved baseline, including changes made in the console that a plan-based check can miss, then explains it and proposes a Terraform change rather than correcting your account itself.

Do I need to change my workflow to use InfraSync?

No. It connects with a read-only role and delivers output as a pull request into the repository you already use. The generated Terraform is ordinary code with no runtime dependency on us, so if you stop using InfraSync the code stays and keeps working.

Keep reading

Comparison

InfraSync vs Firefly, ControlMonkey & Brainboard Compared

The full matrix across all five tools in one table.

Read the guide ›

Guide · Workflow

Terraform to GitHub: Why a GitHub App and a Pull Request

How the handoff into your existing pipeline actually works.

Read the guide ›
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