Omegaswift
Solutions

Cloud Services

Cloud is not automatically cheaper. We work out which of your systems belong there, move them in waves, and then go through the bill with you every month.

How We Help

What cloud services looks like as a piece of work.

The Bill Went Up And Nobody Can Say Why

Two things go wrong. The first is moving everything exactly as it stands, which takes a server sized for its worst day years ago and rents it by the hour forever. The second is that no one owns the invoice. Test environments run all weekend, disks stay behind after the machines that used them are deleted, and a database licensed per core costs more in the cloud than it did in the cupboard. All of that is far cheaper to discover in a spreadsheet than in an invoice.

Deciding What Moves

We go system by system and look at licensing, how much data moves in and out, how much lag the users would notice, and how often the thing genuinely runs. Each one gets a verdict: lift it as it is, rebuild it so it runs properly, replace it with a product somebody else hosts, or leave it where it is. Plenty of things stay put. That is a normal answer, and we would rather give it in the second week than after the migration.

Moving It, Then Running It

Waves are grouped by what talks to what rather than by server name, so a wave can be cut over and checked as one unit. Each gets a pilot, a test plan written with the person who owns that system, a cutover window and a rollback we have rehearsed. Replication runs for days beforehand so the final catch up is short and the business sees a window rather than a lost weekend. Afterwards you get tagging, budgets and spend alerts from day one, environments defined in code, and a monthly review. The cloud accounts are in your name, held by you, from the first day.

Lift And Shift Buys A Deadline

Moving a system exactly as it stands has a poor reputation and is sometimes precisely right. If a lease ends in nine months, or a hardware refresh quote has just landed on somebody's desk, lifting a workload as it is meets the date, and the date was the real problem. What it does not do is save money by itself. You have taken a machine sized for its worst day in 2019 and started renting it by the hour, and the saving only appears when somebody comes back to resize it, which is separate work that has to sit in the plan and in the budget or it never happens. Rebuilding is the opposite trade: engineering time up front, paid back where load genuinely varies or where the system being rebuilt is already the source of most of your incidents.

Leaving Is A Design Decision

Nobody plans a migration around getting out again, and then a price rise or an acquisition makes it urgent. The things that decide how hard leaving would be are chosen early and quietly. Where the data physically lives, and whether it can be exported in a documented format rather than scraped through a screen. Whether the identity your staff sign in with belongs to you or to the provider. How much application logic sits in provider specific services with no equivalent anywhere else. And what pulling the data out would cost, because egress is charged per gigabyte leaving, and a full copy of a mature data set is a genuine invoice. We are not arguing for portability at any price. We are arguing for knowing the number, so staying is a decision rather than a discovery.

What we build

The shapes cloud services work actually takes

  • Readiness assessment

    System by system: licensing, data volumes, the lag users would notice and how often it truly runs, compared against what you spend today including power, hardware and support contracts.

  • Landing zone and guardrails

    Accounts, networks, identity, tagging and budget alerts built before the first workload arrives. Retrofitting a tagging standard across a live estate is among the least popular projects there is.

  • Migration waves

    Systems grouped by what talks to what, each wave with a pilot, a rehearsal against a copy, and a cutover window the business agreed to rather than heard about.

  • Databases and data movement

    Usually the hardest part. Replication running for days ahead of cutover, licence terms checked per core, and the copy of the data that must stay in a particular place for legal reasons.

  • Hybrid and connectivity

    Private links or VPN to whatever stays on site, a latency budget for anything chatty, and an honest count of how much traffic will cross that boundary every day.

  • Bill review and right sizing

    A monthly hour with the people who created the spend: oversized machines, idle disks, the test environment from a demo last year, and the commitments worth buying once usage is steady.

How we work

How a cloud services engagement runs

  1. 01

    Baseline what you spend now

    Not just hosting. Power, cooling, hardware amortisation, support contracts, licences, and the days your own staff spend nursing it. The migration gets judged against this number, so it has to be honest.

  2. 02

    Decide per system

    Move it, rebuild it, buy the hosted product, or leave it alone. Plenty stay put, and that verdict is worth far more in week two than after a wave has moved.

  3. 03

    Build the landing zone

    Accounts, identity, network, tagging and budget alerts before anything runs. The cheapest hour in the whole exercise is the one spent agreeing a tagging standard while the estate is still empty.

  4. 04

    Move a wave and prove it

    Pilot, rehearsal against a copy, a cutover window, then a check with the person who owns that system that it does what it did before rather than merely starting up.

  5. 05

    Review the bill monthly

    For at least six months after the final wave, with the engineers who created the spend in the room. Cloud cost is a habit somebody has to keep, not a project that finishes.

Who it is for

You probably need this if

  • A lease or a hardware refresh has a date on it

    Something must happen by a fixed month, which changes the answer. Deadlines favour moving systems as they stand and resizing afterwards, deliberately, with that second pass funded.

  • The bill grows and nobody owns it

    Every month is higher than the last, no single person can explain the increase, and finance has now put it on an agenda with your name beside it.

  • You are on two clouds without having chosen to be

    One team picked one, an acquisition brought another, and you now pay for two learning curves and two sets of tooling that nobody decided to buy.

  • Everything moved and nothing improved

    The migration finished, the invoices arrived, and the systems behave exactly as before because nothing was resized, retired or rebuilt once the waves were done.

FAQ

Questions we get asked

Should everything move to the cloud?

No. Some systems are cheaper and safer where they are, particularly older applications with licences tied to hardware and anything with a hard local dependency. The useful output of this work is a list that says what moves, what stays, what gets replaced and what gets retired, with the reason and the cost for each. A migration that assumes everything should move ends up with a data centre bill in a different currency.

Will the business be down during the migration?

It is planned so that it is not, and so that any step can be undone. Systems move in stages, each with a rehearsal, a defined cutover window and a rollback that has been tested rather than described. The stage nobody rehearses is the stage that overruns.

Why is our cloud bill higher than we expected?

Usually because the environment was moved as it was rather than sized for what it does, and because nothing gets switched off. The recurring causes are machines provisioned for peak running at idle, storage nobody owns, environments created for a test that ended a year ago, and data moving between regions. All of them are findable, and the fix is ownership and alerting rather than a one-off clean-up.

Are we locked in to one cloud provider?

To a degree, and that is a trade to make deliberately. Using a provider’s managed services is cheaper to run and harder to leave; keeping everything portable costs more to operate and buys an option you may never exercise. We make that choice explicit per system rather than adopting a slogan about it in either direction.

What are egress charges, and how much should we worry about them?

Data going in is free, data coming out is charged by the gigabyte, and that asymmetry quietly shapes architecture. The surprising bills come from a short list of repeat causes: backups written to a different provider, an analytics tool pulling a full copy of the database out every night, media served straight from storage instead of through a cache, and services chattering across regions because the application landed in one and the database in another. None of it is exotic and all of it is measurable before you commit to anything. We estimate egress from a month of your real traffic during the assessment rather than from an architecture diagram, and where the figure is significant we design around it, with caching and by keeping talkative components in the same place.

We seem to be on two clouds. Is multi-cloud a good thing?

It is a reasonable decision and a poor accident. Deliberate versions exist: a workload that has to sit close to a customer's own systems, a regulator who wants failure isolated, a product genuinely sold through more than one marketplace. What we usually find instead is that one team chose one provider, an acquisition brought another, and you now pay for two sets of skills, two billing models, two security configurations and the connectivity between them, without anyone having made that choice. The real cost is attention rather than the second account. If the second provider exists for a reason you can state in one sentence, keep it and run it properly. If you cannot state the reason, consolidating is often the cheapest improvement available in the first year.

What should not go in the cloud at all?

Beyond the licensing traps, four categories come up again and again. Anything with a physical dependency: machinery, cameras, a production line, a laboratory instrument that expects a server on the same network as itself. Steady workloads that run flat at high utilisation all year, where owned hardware is often still cheaper because the cloud's advantage is paying for variation and there is none. Systems whose vendor will only support a configuration they certify, which is common in older finance and clinical software and is worth a phone call before any planning starts. And data with a residency requirement your chosen region does not satisfy. Each can be worked around at a price, and the assessment exists to put a number against that workaround rather than assume it away.

Will we need to hire cloud people afterwards?

Somebody has to own it, and how much of a person that is depends on what you chose. Managed services from the provider push more of the operating work onto their side and less onto yours, at a higher unit price. Running your own virtual machines is cheaper per hour and hands you patching, sizing and capacity planning, which is a real job with a real salary attached. The parts needing an owner regardless are access and permissions, the monthly bill, and knowing which environments exist and why. Most mid sized companies settle on a split: one internal person who owns the accounts and the spend, with us for the depth and the busy weeks. What does not work is assuming the migration ends the effort. The invoice is monthly, so the attention has to be too.

What you get

What is different once the cloud services work is done

  • A verdict per system: move it, rebuild it, buy it, or leave it alone
  • Waves that each have a rollback somebody has actually tested
  • Environments defined in code, so one can be rebuilt rather than nursed
  • A monthly bill review naming the oversized machines and the idle disks

Ready to talk about your IT?

We are happy to answer any questions you have and help you work out which of our services fit your needs.