The first call is free. If your cloud bill is the problem, we will start by telling you where the money actually goes.
It turned it into a monthly invoice and a console with four hundred services in it. The servers are still there, the failure modes are still there, and now they are one badly chosen setting away from being expensive. Almost every cloud setup we are asked to look at has the same four problems.
Oversized instances, staging environments running all weekend, storage nobody has opened in two years. Nobody can explain the line items.
WasteSet up by hand in the console, undocumented, and impossible to reproduce. Nobody dares touch it because nobody can rebuild it.
UnreproducibleSnapshots are being taken, probably. Whether they restore, how long it takes, and what is missing from them, nobody has ever checked.
Untested recoveryNo alerting worth the name, so the first signal that production is down is an email from someone who pays you.
No visibilityNobody is paid to notice a server that is 80% idle.
The invoice notices every month.
None of this needs a rebuild. It needs someone to sit down with the account, work out what is actually running, and fix the handful of things that account for most of the cost and most of the risk.
Cloud spend is not really a procurement problem, it is an architecture problem that arrives as an invoice. The choices that set your bill, instance sizing, storage class, data transfer paths, whether anything scales down, are all made during design and then charged for every month afterwards.
Right-sized instances, autoscaling that actually scales down, lifecycle rules on storage, traffic that does not cross a paid boundary for no reason. A few hours of thinking.
The same choices, now serving live traffic, with commitments already purchased against the wrong shape and an application that assumes the current layout.
The good news is that the fixes are usually unglamorous and quick. Most of the savings we find come from a short list: things sized for a peak that never happens, environments nobody turns off, data kept hot that should be cold, and on-demand pricing on workloads that run permanently.
Infrastructure defined in code, deployed by a pipeline, watched by monitoring that pages a human, and documented well enough that your team can operate it without us.
The parts that are painful to change once anything is on top.
AccountsHow your code gets to production, repeatedly and safely.
PipelineWhat happens on the day something genuinely fails.
RecoveryKnowing it is healthy without anyone watching a screen.
HandoverRarely for everything at once. Most engagements start with one specific thing that has become uncomfortable enough to act on.
We start by understanding what you already have. Recommendations made before that are guesses with confident formatting.
What is running, what it costs, who can access it, what is backed up, and what happens today if the main database disappears. Usually the first time anyone has written that down.
What it should look like, what it will cost per month, and the order to get there in, with the trade-offs stated plainly rather than buried.
The savings and risk fixes that need no application changes get done immediately, so the work starts paying for itself before the larger pieces begin.
Everything moved into Terraform and a pipeline, in stages, so at no point is there a mixture of managed infrastructure and forgotten console clicks.
Load testing, a failover drill and an actual restore from backup, timed. A migration plan that has not been rehearsed is a hope, not a plan.
Runbooks, dashboards and a walkthrough for your team, or we stay on a retainer and run it. Either way you are never dependent on us to keep the lights on.
Chosen against your workload, your team's skills and your budget. Managed services where they earn their premium, plainer infrastructure where they do not.
NoCubical is a small, senior studio. We build applications as well as the infrastructure under them, which is why our recommendations account for what your code actually does rather than treating it as a black box to be hosted.
Hands-on experience per engineer, across agencies, product companies and enterprises. No juniors learning on your budget.
Small by design. The person answering your questions in week one is still reachable in month six.
We have run our own work in production for years, which is the part that teaches you which alerts matter. See how we work.
We do not resell hosting or hold your infrastructure behind an account you cannot reach. You own the accounts, you see the real invoice, and you can revoke our access at any time.
We will sign a mutual Non-Disclosure Agreement any time you want one, at no cost. You can read the exact document we use before you ask for it.
Usually, and it is one of the most common things we are asked to look at. The savings are rarely exotic: oversized instances, storage nobody has read in two years, environments left running overnight and at weekends, unattached volumes and idle load balancers, and on-demand pricing for workloads that never turn off. We start with a review that tells you where the money goes before you commit to any work.
For most workloads either is a perfectly good answer, and the difference matters far less than how well the thing is built on top. The choice usually comes down to which managed services you lean on, what your team already knows, and what your commercial terms look like. We will give you a straight recommendation and the reasons, not a preference dressed up as a requirement.
Yours. The AWS or Google Cloud accounts are registered to your company, billed to you, and we work inside them with the access you grant and can revoke. We do not resell hosting or put your infrastructure behind an account you cannot reach, because that is the kind of arrangement that becomes a problem exactly when you most need control.
In most cases yes, by running both environments in parallel, replicating data continuously, and cutting traffic over once the new side has been proven, with the old one kept ready to fall back to. Some migrations do need a short planned window, usually because of a database. Where that is true we will tell you up front rather than discovering it on the night.
Yes. We can hold a retainer covering monitoring, patching, cost review, incident response and capacity planning, or we can set everything up and hand it over with the runbooks your team needs to run it themselves. Both are legitimate choices, and which one fits depends on whether you want to build that capability in-house.
Because we restore them. A backup that has never been restored is an assumption, not a safeguard, and the failure modes are common: a job that has been silently erroring for months, a snapshot missing a volume, or a restore that technically works but takes eleven hours nobody budgeted for. We run the restore, time it, and write down what the real recovery time is.