The computers behind your app, set up and run the smart way: written down once as a plan, growing and shrinking with the crowd, and rebuilt from that plan when needed.
Cloud & infrastructure engineering as a service
Vignesh T.V., CEO & CTO, Algoshred Technologies Pvt. Ltd.
A busy day at the guesthouse
In our short film, Leela’s guesthouse is the computers behind your app, the guests are your customers, the rooms are servers, the air company across the bay is the cloud, the meter is your bill, and the pump is the tools that build and repair everything from the written plan.
The bus arrives
FULL. Guests are turned away at the gate.
An illustration, not a measurement. Pay-as-you-go saves money only when usage is watched.
Watch · 2 min 24 sec
A short story about Leela’s beach guesthouse, a goat called Chutney and a plan that builds rooms when guests arrive. No jargon, just what changes when the computers behind your app are written down and built to breathe.
The idea in plain words
Each one in everyday words first, then the name experts use for it.
Write it down once. Build it again, the same way.
01
Extra room opens when customers rush in and folds away when it’s quiet, so you pay closer to what you use.
Experts call this: automatic scaling, pay-as-you-go cloud
Worth knowing: Pay-as-you-go saves money only when usage is watched.
02
Every server, network and setting is written down, so anyone on the team can build it again from the plan instead of from memory.
Experts call this: infrastructure as code
Worth knowing: The plan rebuilds the setup; backups bring back the data. You need both.
03
Changes are reviewed and recorded before they happen, and the pump (the tools that build from the plan) quietly lets the air out of anything nobody planned.
Experts call this: GitOps, drift correction
Worth knowing: Changes still need someone to review them; the pump puts back the plan, not good judgement.
04
Each part of the app is packed with what it needs, so it runs the same in the next place, and a broken one can be swapped for a fresh copy.
Experts call this: containers, self-healing
Worth knowing: The same plan can rebuild the same setup in another place (another city or country). Moving between providers still takes planning.
See the difference
Rebuild the guesthouse up the hill, once from memory and once from the written plan.
Press “Rebuild up the hill” to watch both crews build.
What comes back: It comes back different: two rooms swapped, one missing and the wiring guessed.
What comes back: It comes back the same, step by step, because the plan was kept safe with every change.
Every change is reviewed and recorded, so you can see who changed what and, in most cases, roll it back.
Worth knowing: The plan rebuilds the setup; backups bring back the data. You need both.
Sounds familiar?
If any of these ring true, the computers behind your app are probably holding you back.
Six plain questions. Answer what you can, and we’ll point to where we’d look first.
Answer any question and the places we’d look first appear here.
Answer “No” or “Not sure” to any question to email the list.
Nothing is stored or sent unless you choose to email it.
What we help with
Four areas of work. Choose a focused starting point, or bring the pieces together into one plan for the whole setup.
Decide what runs where, and why, before anything moves.
A clear picture of where you stand and a ranked list of where to start.
A plain-language review of what you run today: where it lives, who knows how it works, what it costs and where the risks are, checked against the cloud providers’ published good-practice checklists.
Experts call this: cloud assessment, well-architected review
Each app placed for a stated reason, with a way out planned early, so moving later is easier.
Deciding which of your apps should run in rented cloud space, in your own building, close to your customers, or switched on only when someone uses it, and whether you need more than one provider or must keep data in one country.
Experts call this: cloud strategy, hybrid and multi-cloud, data residency
Also in this area
A safe, written-down base that every project starts on.
A safe, ready base with access rules and backups in place, for new projects to start on.
Accounts, access rules, networks, logging (a record of who did what, and when), backups and safety rules (limits that stop risky set-ups before they happen), set up from the written plan before anything moves in.
Experts call this: landing zone, guardrails
Moves planned to fix old problems, not carry them to a new address.
Moving your apps in planned waves. For each one we decide whether to move it as it is, upgrade it, replace it or retire it, and we plan a way back in case a move goes wrong.
Experts call this: migration and modernisation
Also in this area
Packed, movable parts that grow and shrink with the crowd.
Systems that can stretch with demand and recover faster when a part fails.
Packing each app with what it needs, so it runs the same way in the next place, plus the pump (tools that place the packs, grow and shrink them, and can replace one that fails). Small jobs can run only when they are called, and are paid per use.
Experts call this: containers, Kubernetes, serverless
Far-away users can get faster answers, and fewer doors into your systems are left open.
Private roads and gates between your systems, links to your own offices and sites, and computers placed near customers or machines where speed matters.
Experts call this: networking, edge computing
Also in this area
The plan stays the boss, and the bill stays understood.
Testing and live setups built from the same plan, and a history of every change made through the plan.
Reusable templates that describe your servers, networks and settings, and a routine where every change is reviewed, recorded and applied from the plan, then moved from testing to live, step by step.
Experts call this: infrastructure as code, GitOps
Fewer bill surprises, and a team ready to run it day to day.
An owner for every line of the bill, choosing the right size of machine, switching off idle ones and seeing what any AI features cost to run, plus step-by-step guides for your team, training and handover.
Experts call this: FinOps, right-sizing, runbooks
Also in this area
For your tech team, the tools we use where they fit: AWS, Microsoft Azure and Google Cloud, your own data centre, Kubernetes, OpenTofu or Terraform, Pulumi, and Argo CD or Flux.
Ways to start
A plain-language look at what you run today, and a ranked list of where to start.
A safe, written-down base (accounts, access rules, safety rules, logging and backups) that new projects can start on.
How we work
The same five steps the film walks through, in plain words.
Look
Take stock of what runs today, who knows it, what it costs and where the risks are. Agree what ‘better’ means for you.
Plan
A target design, a decision on where each app should run and a step-by-step roadmap, all in plain words.
Locks & backups
Build the safe, ready base from the written plan: accounts, access rules, networks, logging, backups and safety rules.
Move in steps
Start with low-risk apps, rehearse every move, plan a way back, then upgrade what needs it.
Run & teach
Bill care, automation, step-by-step guides and training, so your team can run it day to day, and we can stay on afterwards if you want.
Illustrative examples, not customer stories: the kind of work this approach suits.
Good to know
Plain answers to what owners and tech leads ask first. Something else on your mind?
Ask us directlySetting up the computers, networks and storage your apps run on so they grow and shrink with demand, can replace a part that fails and can be rebuilt from a written plan instead of from someone’s memory.
Often, yes. Pay-as-you-go lets smaller teams use the same kind of tools as large ones, though pay-as-you-go saves money only when usage is watched. We start with a health check and suggest only what fits your size.
It depends. Renting pays off when you switch off what you aren’t using and choose sensible sizes. For some apps that run steadily all day, your own machines make more sense, and we’ll say so.
No. We move in planned waves, starting with low-risk apps, and we plan a way back for each move.
We are tool-neutral. We work with the big public clouds, such as AWS, Microsoft Azure and Google Cloud, your own data centre, or a mix. We prefer widely used tools, open-source where it fits (for example OpenTofu), so your plans are easier to take elsewhere. Moving between providers still takes planning.
Yes. We design for where data must live and who can reach it, and we work alongside your legal advisers on what the rules require.
The written plans, step-by-step guides and dashboards are part of the handover, and we train your team. We can stay on to run things alongside your team if you prefer.
Heard it before?
Answer: Renting saves money only when you switch off what you aren’t using. Left alone, the meter keeps running: pay-as-you-go saves money only when usage is watched.
Answer: Partly. In the guesthouse story, the air company across the bay looks after the air; Leela still locks the doors and watches the meter. The provider looks after its buildings; you look after what you put inside.
Answer: Moving the brick house to the big company’s shore doesn’t untangle the wiring. You get the same problems at a new address, sometimes with a bigger bill.
Answer: Pay-as-you-go lets a two-person business use the same kind of tools as a large one and pay for what it uses, as long as someone watches the meter.
Answer: The cloud gives you tools to run things automatically. Someone still has to write the plan, set the rules and check the meter.
Answer: That depends on how it’s built. Plan the way out early, keep the plans in widely used tools (open-source where it fits), and know what moving data out costs.
Take the guides to share with your team, or tell us what you run today and we’ll suggest where to start.
Or write to contact@algoshred.com
