// Comparison
Fractional DevOps engineer vs a DevOps platform
Both answer the same question: you need production infrastructure and nobody on the team wants to own it. They answer it differently, and the difference shows up most clearly on the day you want to leave.
Retainers from $800 a month, below what platform subscriptions typically run. No sales layer, no juniors. You meet the engineer before anything begins.
There is no proprietary layer.
Every piece of infrastructure is Terraform and pipeline code in your repository, running in your AWS account. End the engagement and nothing switches off. That single difference drives most of what follows on this page.
// Honest answer first
When a platform is the better choice
A comparison page written by one side is worth very little if that side never loses. Here are the cases where buying a platform is the right call, and where saying yes to a retainer would be a mistake.
You want self-serve, not a relationship
Some teams do not want a recurring call with an engineer. They want a console, a card on file, and a paved path they can walk alone. A platform is built for exactly that, and a retainer is not.
There is no budget for a person at all
If the number you can spend rules out even part time senior help, buy software. A product costs what it costs regardless of how many hours anyone puts in.
You want a roadmap you do not maintain
A platform ships features you did not ask for and did not have to build. That is real value. Work built for you improves when someone chooses to improve it, not on a release schedule that arrives anyway.
You need cover outside business hours
One engineer is one engineer. There is no rotation here: response runs from next business day on the entry tier to same day on the largest. If you need someone awake at 3am on a Sunday, you need an on call team or a vendor with a support organization behind it.
// Side by side
Where the two approaches differ
Compared on the dimensions that decide the outcome two years in, rather than the ones that look good in a demo. Platform behaviour varies by vendor, so treat the middle column as the pattern of the category and check it against whoever you are evaluating.
| What matters | A DevOps platform | A fractional engineer |
|---|---|---|
| What you own at the end | Configuration expressed in the vendor's own model. It describes your infrastructure, but it usually only means something inside their system. | Terraform, Kubernetes manifests and pipeline definitions in your repository. Any AWS engineer you hire later can read them on day one. |
| Where it runs | Typically your cloud account, orchestrated by a control plane the vendor operates and you do not see. | Your AWS account, your organization, your billing. Nothing sits between you and the provider. |
| Cost shape | A subscription usually tied to environments, workloads or seats, so the bill tends to follow the size of your footprint. | A flat retainer priced in hours, from $800 a month for 20 hours, which starts below what platform subscriptions typically run. Doubling your infrastructure does not automatically double the fee. |
| Who is accountable when production breaks | A support channel, on the vendor's terms. Whoever picks it up is meeting your architecture for the first time. | The engineer who built it, already holding the context, within the response window your tier buys. |
| Fit to your business logic | Strong inside the paved path. Anything outside it turns into a workaround, a feature request, or both. | The design starts from your constraints. A zero downtime Redis to ElastiCache cutover is not a roadmap item here, it is a piece of scoped work. |
| Time to first result | Fast when your stack is standard. You can often be running in days, and that is a genuine advantage. | Slower to start: a free audit first, about 10 hours of review with findings in 2 business days, then work against a written plan. |
| Exit cost | You rebuild whatever the platform was doing before you can stop paying for it. | Nothing to unwind. The code is already yours and already running. End the retainer and keep operating. |
// The part nobody prices
Lock-in is a cost you pay later
Every vendor decision carries an exit price, and it is never on the pricing page. When infrastructure is defined inside someone else's system, leaving means rebuilding it somewhere else first, usually at the exact moment you have the least appetite for a project.
What no proprietary layer actually means
- Terraform in your repository, with state in a backend inside your own account
- Pipelines written in your CI provider's native config, not wrapped by anything
- No agent to install in your cluster, no control plane between you and AWS
- Runbooks and docs written for your engineers, not for a support portal
- Nothing expires, phones home, or needs a licence key when the retainer stops
Three questions worth asking every vendor, including this one
- If we stop paying next month, what stops working?
- Can an engineer we hire later read and change this without you in the room?
- How many weeks does it take to move off you?
The answers here are: nothing stops working, yes, and zero weeks. Ask the same three questions everywhere else you are looking and compare the answers, not the feature lists.
// The engineer
No proprietary layer puts the weight on the code
If the deliverable is Terraform rather than a product, the only thing that matters is whether the Terraform is any good. So here is the record, in numbers you can ask about on the call.
9
cloud certifications
AWS Solutions Architect, Developer and SysOps Associate, AWS Security Specialty, HashiCorp Terraform Associate, Snowflake SnowPro Core, CKA, CKAD and CKS.
6+
production AWS migrations led
Live systems moved without a maintenance window, including a zero downtime Redis to ElastiCache migration.
46%
AWS bill cut on one engagement
45% on another. Audits typically surface 20 to 40% before anything is implemented.
50%+
fewer production incidents
Across 26 services, alongside 12 Jenkins pipelines migrated to CircleCI and AWS hardening for SOC 2 readiness.
Clients are under NDA and are not named: the engagements above are a data governance SaaS (NDA) and a martech SaaS (NDA). References can be arranged directly.
// FAQ
The questions CTOs actually ask
// Next step
Start with the audit, not the contract
Free, with findings in 2 business days. It is useful whichever way you decide: if you do end up buying a platform, you will know exactly what you are handing it.
No sales layer, no juniors. You meet the engineer before anything begins.