Managed vs. self-hosted: a decision framework
Should you run it yourself or pay someone to? A clear way to weigh cost, control, and operational burden instead of arguing about it.
Last updated: 2026-06-24
“Managed or self-hosted?” is one of the most consequential infrastructure decisions a team makes, and it is too often settled by preference rather than analysis. The honest answer is that it depends on a small number of factors you can actually reason about. Here is the framework we use.
The real cost is operational, not the invoice
Self-hosting almost always looks cheaper on the monthly bill, because the bill does not include your time. The true cost of running something yourself is patching, monitoring, backups, on-call, capacity planning, and the occasional 2 a.m. recovery. Managed services move that burden to a vendor in exchange for a higher sticker price. Before comparing prices, estimate the hours per month each option will demand from your team — that is where the difference usually lives.
Control and data gravity
Self-hosting wins when you need full control: custom configuration, strict data-residency requirements, network isolation, or the ability to keep running regardless of a vendor’s roadmap. If a system holds data you are contractually obligated to keep in a specific jurisdiction, or it must run inside a private network with no third-party access, that constraint can settle the decision on its own.
When managed is the obvious call
Reach for managed services for the undifferentiated heavy lifting — databases, queues, object storage, email delivery, certificate management. These are solved problems where a vendor’s reliability will almost certainly exceed what a small team can sustain, and where the operational savings are largest. Spend your scarce engineering attention on the parts of your product that are actually unique to you.
A pragmatic middle path
Many teams land on a hybrid: self-host the application and the components that need control, while leaning on managed services for the commodities around it. You can also start managed to move fast, then bring a workload in-house once its usage and requirements are well understood and the economics clearly favor it. The decision is not permanent — revisit it as scale, team size, and compliance needs change.
Make the choice reversible
Whichever way you go, reduce lock-in: keep data exportable, prefer open formats and standard protocols, and put a thin abstraction between your application and the provider so swapping it later is a contained change rather than a rewrite. The best infrastructure decisions are the ones you can walk back without a heroic migration.
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