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InfraDots vs. DIY Pipelines

InfraDots vs. DIY pipelines: an honest comparison

GitHub Actions, some bash, an S3 backend, and a Slack webhook. It works — that’s why most teams run it. The question is what it costs you that never shows up on an invoice.

Pick InfraDots if

Maintaining the pipeline has become a real job, plan reviews are rubber-stamps, or drift keeps surprising you — and you want drift detection and AI review without building them.

Stick with DIY Pipelines if

You’re a small team with a few state files and infrequent changes, someone owns the pipeline happily, or you have hard reasons to keep everything on your own runners.

The most popular IaC platform in the world isn’t HCP Terraform, Spacelift, or env0. It’s a CI pipeline somebody on your team wrote: GitHub Actions or GitLab CI, a remote state backend, a plan step that dumps output into a log, and an apply step gated on merge.

This setup is not wrong. It’s where almost everyone should start — and for a small team with a handful of state files, it’s genuinely hard to beat. But it has a growth curve, and the costs land somewhere no dashboard shows: in your engineers’ time, in review quality, and in the gap between what’s in Git and what’s actually running.

What DIY pipelines do well

Let’s be honest about why DIY wins so often. It’s effectively free — you already pay for CI. There’s no procurement, no vendor review, no new platform to learn. Every engineer already knows how to read a GitHub Actions log.

It’s also fully under your control. Your runners, your secrets management, your conventions. No feature you need is gated behind a pricing tier, because you build the features. And there is no lock-in story at all — it’s just Terraform in a pipeline.

For a team of two or three with a dozen state files and infrequent changes, this is the right answer. The problems start when the team and the infrastructure grow faster than the pipeline does.

The honest math: DIY isn’t free

DIY isn’t free — it’s prepaid in engineering time. A platform engineer spending even twenty percent of their time feeding the pipeline costs more than most platform subscriptions, before counting the incidents that better review and drift detection would have caught.

The crossover point is earlier than most teams think: roughly when you have more state files than engineers, more than one team touching infrastructure, or your first “the plan looked fine” postmortem. Before that, keep the pipeline. After it, the pipeline is keeping you.

DIY (hidden cost)

~$36k/yr

InfraDots

On the invoice

20% of one platform engineer maintaining the pipeline — At a loaded $180k/year, a fifth of one engineer’s time on pipeline glue is roughly $36k a year — invisible, unbudgeted, and bus-factor-of-one. A subscription moves that cost onto the invoice and gives the engineer their week back. (Illustrative; plug in your own loaded rate.)

The pipeline becomes a product nobody staffed

Plan-on-PR, apply-on-merge is a weekend of work. Then reality arrives: concurrency locks so two merges don’t apply over each other. Environment ordering. Targeted applies for emergencies. Retry logic for transient provider errors. Secrets rotation. Terragrunt run-all behavior in CI. Each one is a YAML patch, a bash script, a convention someone has to remember.

Eighteen months in, most teams are maintaining a few thousand lines of pipeline glue that one or two people actually understand. That’s a product — with no roadmap, no tests, and a bus factor of one. The platform you avoided buying, you built. You’re just not maintaining it on purpose.

Plan review is a wall of text in a CI log

In a DIY setup, the plan is a log artifact. Reviewing it means scrolling CI output or a folded PR comment — hundreds of lines of diff, where the one line that matters (a resource replacement, a security group quietly opened) looks exactly like the ninety-nine that don’t.

Nobody reads those plans carefully. Everyone knows it; approval becomes a reflex — you’re rubber-stamping infrastructure PRs. The pipeline enforces that a human clicked approve, not that a human understood the change. That gap is where the production incidents come from.

Drift is invisible until it’s an incident

A pipeline runs when you push. It’s blind between pushes — and that’s precisely when drift happens: a console hotfix during an incident, a script someone ran once, an auto-scaling change nobody encoded. Git says one thing, the cloud says another, and nothing is watching the gap.

You find drift in a DIY setup when a plan you expected to be a one-liner shows forty changes — usually at the worst possible moment, when you needed to ship the one-liner. Building scheduled drift detection with useful notifications is exactly the kind of side-project the pipeline’s maintainer never gets time for.

What InfraDots replaces — and what it doesn’t

InfraDots doesn’t replace your Git workflow. Plans still trigger from PRs, applies still gate on merge. It replaces the glue around it.

The orchestration you’d otherwise build

Concurrency, locking, environment ordering, retries, Terragrunt run-all — for Terraform, OpenTofu, and Terragrunt natively. The thousand lines of YAML and bash go away, along with their bus factor.

AI plan review instead of log-scrolling

Every plan is reviewed by AI agents that flag risky changes, surface the unexpected, and suggest fixes — then hand a human a summary worth reading, in Slack, not a 400-line diff in a CI log.

Drift detection as a default

The cloud is checked against Git continuously, not only when someone pushes. Drift shows up as a Slack alert you can act on — not as a surprise in next month’s plan.

Slack and IDE-native, like your current workflow — but operable

Your DIY setup already pings Slack; InfraDots lets you act from there. Review plans, approve changes, see drift — without a new dashboard becoming the job.

Side-by-side

DimensionDIY PipelinesInfraDots
Upfront costFree (uses existing CI)Subscription, flat pricing determined by concurrency
Real costOngoing engineering time, glue-code maintenance, bus factorPredictable, on the invoice
Plan reviewRaw plan output in CI logs / PR commentsAI-reviewed, summarized, actionable in Slack
Drift detectionNone unless you build and maintain itBuilt in, all tiers
Concurrency & lockingHand-rolled in pipeline configNative orchestration
Terragrunt / OpenTofuWorks, with custom scriptingFirst-class workflows
Guardrails & approvalsBranch protection + reviewer reflexPolicy guardrails + AI review on every change
Maintenance ownerWhoever wrote the pipelineInfraDots
Lock-inNoneYour code stays plain Terraform/OpenTofu/Terragrunt — leave anytime

marks where DIY Pipelines wins — where InfraDots does. Unmarked rows are a wash.

When DIY is the right choice

  • You have a small team, a handful of state files, and infrequent infrastructure changes
  • One pipeline, one environment chain, and no cross-team concurrency to manage
  • You have genuine compliance reasons to keep everything on your own runners and nothing else will do
  • Someone on the team actually enjoys owning the pipeline — and you can afford their time

These are real reasons. Start here. Most teams should — and many should stay longer than vendors like us would prefer.

When InfraDots is the right choice

  • You have more state files than engineers, or more than one team touching infrastructure
  • Pipeline maintenance has become a recurring tax on your platform engineers
  • You’ve had a “the plan looked fine” incident — or you don’t want your first one
  • You want drift detection and real plan review without building either
  • You want to keep the Git workflow and the Slack habit, and lose the glue code

The honest verdict

DIY pipelines are the right starting point, and for small, stable teams they’re the right ending point too. The trap isn’t building one — it’s not noticing when it became a second product your best engineers maintain in the margins.

InfraDots keeps the parts of DIY that work — Git-driven, Slack-centered, your tools, your code — and replaces the parts that don’t scale: the glue, the log-scrolling reviews, the invisible drift.

If the pipeline is still cheap, keep it. If you’ve started paying for it in engineer-weekends and postmortems, the build-vs-buy math has already flipped.

Migrating off your pipeline

Your state already lives in your own remote backend (S3, GCS, etc.), and your code is plain Terraform. So there’s nothing to export — InfraDots connects to what you already have.

  1. 1

    Connect the repo

    Point InfraDots at the same Git repository and branch your pipeline already uses. Your .tf / .hcl files don’t change.

  2. 2

    Map pipeline stages to workspaces

    Each pipeline target (env or state file) becomes an InfraDots workspace, set to the Terraform or OpenTofu version matching your required_version. InfraDots manages remote state going forward, or points at your existing backend during cutover.

  3. 3

    Move variables and secrets

    Copy the variables your pipeline sets (from CI secrets, .tfvars, or a vault) into the workspace — same keys, marked sensitive. Provider credentials go in as sensitive environment variables.

  4. 4

    Run a plan to confirm parity

    Trigger a plan from InfraDots. Because state and code are unchanged, it should show no changes — proof you’re in sync — before you apply. Then retire the pipeline stage by stage.

You can run InfraDots alongside the old pipeline during cutover and switch one workspace at a time. Nothing forces a big-bang migration — and since your code stays plain Terraform, there’s no lock-in if you change your mind.

Keep the workflow. Lose the glue code.

See where your IaC setup stands — and which platform fits — in 2 minutes. No signup required.

Sources

This comparison is based on common DIY Terraform pipeline patterns (GitHub Actions / GitLab CI with remote state) rather than a specific vendor:

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