Infrastructure, self-hosting, and cost reduction
Most engagements start with a week of measurement. We do not quote a saving before knowing what is actually running, because the number would be a guess and the guess would be optimistic.
- Scope
- Audit, migration, or ongoing platform work
- Typical
- Scoped against the hardware, not a template
- First step
- A week measuring what actually runs
- Start
- Free scope and a fixed price in three business days
What we build
Measurement before migration
The first week is spent finding out what the money is buying: instance sizes against real utilization, storage nobody reads, environments left running since a launch. Most overspend turns out to be idle capacity rather than headroom anyone chose, and a good portion of it can be returned without touching architecture.
Infrastructure defined as code
Environments are described in version-controlled files, so a rebuild is a command rather than an afternoon of remembering. This is also what makes a migration reversible: if the new shape is worse, the old one is still written down and can be brought back exactly.
Self-hosting where it genuinely wins
Steady, predictable load on your own servers is dramatically cheaper than renting elasticity you never use. Spiky traffic, or a database that needs point-in-time recovery and somebody awake to run it, is not. We move the first category and leave the second, and say which is which before starting.
How we approach it
The question is never self-hosted against managed in the abstract. It is whether a specific managed premium is buying real operational capability or just convenience, and that answer differs service by service inside the same company.
Reliability is the constraint the cost conversation has to respect. A saving that arrives with a pager is not a saving, so anything we move gets monitoring, alerting, and a documented way back before the old thing is switched off.
Questions on this work
When is self-hosting cheaper than managed cloud, and when is it not?
Self-hosting wins when load is steady and predictable, because you stop paying for elasticity you never use. It loses when traffic is spiky, when the service is genuinely hard to operate correctly, or when nobody on your side wants to be paged at night. The line usually sits at whether the managed premium is buying real operational capability or only convenience.
How much can we realistically cut from a cloud bill?
It depends entirely on what is running, which is why the first week is measurement rather than proposals. The savings that are usually available without architectural change come from right-sizing over-provisioned instances, deleting orphaned storage and idle environments, and committing to capacity that is genuinely steady. Anyone quoting a percentage before looking is selling, not estimating.
Do we lose the ability to scale if we leave managed services?
No, but you change how scaling happens. Managed platforms scale automatically and bill you for the privilege continuously; owned infrastructure scales when you decide to, which is fine for predictable growth and poor for genuine spikes. Most systems are a mix, so the usual answer is to keep the spiky parts elastic and move the steady ones.