Cloud Infrastructure Development built in code, and run by the people who wrote it.
Cloud infrastructure development is designing and building the environment your software runs in: networking, compute, storage, deployment pipelines, security controls and the cost model, then operating it once it carries traffic.
- 120+Projects delivered across 12 countries since 2012
- 100+Senior in-house engineers, six countries
- 5.0Unified rating across 61 client reviews on Clutch
- AWS CertifiedSolutions Architects on the team
- ISO 27001Certified security practice, audited by Quay Audit UK
01Overview
What cloud infrastructure development covers
unicrew designs and builds environments that do not exist yet, on AWS or Azure. The work starts with the architecture and the cost model, because both are cheap to change while the environment is still on paper and expensive once it is running. Then it is built in Terraform rather than clicked together in a console, and the same engineers can stay to operate it.
- Designed around your workloadThe architecture starts from your traffic shape and your failure modes, not from a reference diagram somebody else's application produced.
- Defined in code from the first environmentTerraform rather than a console, so provisioning is repeatable and auditable, and standing up a second environment is a command rather than a project.
- Who holds it on day 31Settled before the build starts: a dedicated team that keeps operating it, a managed team inside your process, or a handover to your own people.
- When something already runsCloud migration when a system exists and has to reach somewhere else, cloud consulting when the estate runs and the question is what to change, and DevOps when the releases are the gap.
02Proof
What these builds had to get right
An environment is invisible whenever it works, so the proof is never the diagram. Three builds, and the decision each one turned on before a single user arrived.
- CancerDocs got an environment built for protected health dataThe container platform was designed to deploy Docker containers into a secure, isolated, HIPAA-ready environment. Developers have no access to the databases, and access control admits only authorized users to electronic protected health data. What shipped with it: a fully automated deployment process, an environment based on Docker containers, and database encryption.One per stackan AWS Virtual Private Cloud for every stack holding protected health data, with the databases on a private subnet the internet cannot reach
- The plan and its costs were approved before the migration ranFor an entertainment booking platform the plan came first, covering the financial reasoning (FinOps) alongside the technical specifications for the scalability and security requirements. Only once the client had approved that plan did our engineers run the migration to AWS. Costing an environment after it exists is an argument about what to switch off.600+businesses now on the platform whose migration plan came first
- Built, then answered forA US home-health monitoring platform came to us with periodic outages undermining confidence in a product where consistency is critical. We updated the cloud infrastructure and implemented robust monitoring to eliminate system downtimes and ensure high availability, and detailed analysis of its AWS services brought the operating costs down inside the same engagement.Minimalsupport requests from end users on that home-health platform now, which is what an environment with an owner looks like
03Compare
Build it, or leave it to whoever is free?
Pick by what already exists, because a designed environment earns its cost only where there is no design to inherit. Two answers sit outside the table, since neither is a thing we sell: hiring a platform engineer, which is right wherever infrastructure is a permanent core competence you can recruit for, and staying exactly where you are, which is right while the load is flat and the hardware or the managed plan is still doing its job. A system that exists already and simply has to live somewhere else is a migration, which is a different piece of work.
| An environment designed for youunicrew | Set up in the console by whoever is freeAd hoc | Managed hostingHosted |
|---|---|---|
| Best forA workload whose own shape decides the architecture, where nobody on the payroll will own the result. | Best forA prototype or an internal tool that is meant to be thrown away, where nobody will ever have to reproduce it. | Best forA standard workload a reference architecture already fits, where you want one vendor answerable for uptime. |
| Trade-offYou are buying senior engineering time rather than a per-seat product, and you need somebody who can make architecture calls with us. | Trade-offIt is the fastest thing to do this week. What it costs arrives later, as an invoice nobody can explain and a setup nobody can reproduce. | Trade-offYou get their template rather than a design shaped around your application, and the cost model is theirs to change. |
| What it leaves behindThe Terraform that defines it, the pipelines that deploy it, and the reasoning behind its shape written down. | What it leaves behindA running system and a set of decisions that exist only in one person's memory. | What it leaves behindA contract, a console, and whatever their template decided on your behalf. |
Quick self-check
Tick what is true of the thing you are about to build. The read-out changes underneath.
0 of 4 true
Do not commission one yet
None of these is true, and that is the answer rather than a reason to keep reading. Where a system exists and the problem is where it lives, that is cloud migration. Where the design or the bill you already have is the problem, start with cloud consulting or a fixed-scope cost audit.
Tell us anywayOne box ticked is a conversation, not a project
A single symptom is usually a sequencing question, and an environment commissioned to answer it arrives correct and irrelevant.
Talk it throughWorth scoping the architecture first
Two of these together and the environment is a decision rather than a chore. The architecture and its cost model are what you approve, and they exist before any resource does.
Book a discovery callA build, with one question left open
Three of these, and what is unsettled is not whether to build but who holds it afterwards: a team of ours that keeps operating it, or a scoped build your own people take over.
Book a discovery callDesign it, define it in code, name the owner
All four, and this is the profile that a console session one afternoon serves worst: nobody can reproduce what came out of it and nobody answers for it. Start with the architecture and its cost model, and the rest is a decision you take with the numbers in front of you.
Talk about the environmentAnyone can hand you infrastructure as code. The question worth asking is who gets paged when it breaks at two in the morning, because that is the person who finds out whether the code still describes what is actually running.
Oleksandr TrofimovChief Technology Officer, unicrew04Capabilities
Cloud infrastructure services we design and build
Eight kinds of work a new environment is made of. Which apply is decided by the workload rather than by a package, and an environment that needs only two of them is one we will scope at two.
- Cloud architecture design and consulting
Cloud architecture design
Multi-cloud or hybridHigh-availability, fault-tolerant systems on multi-cloud or hybrid strategies, so you are not locked to one vendor's roadmap. Databases and storage are designed here as components of the environment; the data platform as a discipline is its own engagement.
- Infrastructure as Code with Terraform
Infrastructure as Code
Repeatable and auditableEnvironments defined in Terraform, so a deployment is automated rather than remembered and a recovery follows the same path every time. On one hotel booking platform that is what took the manual errors out.
- Docker and Kubernetes containerization
Containers and orchestration
Cloud-neutral by designDocker with orchestrated deployments gives faster updates and services that scale independently. The tooling is cloud-neutral on purpose: containers make a later move between providers a project rather than a rewrite.
- Hybrid cloud infrastructure setup
Hybrid and on-premise
Some of it stays putNot everything belongs in a cloud account, and a hybrid setup is a design rather than a compromise. Where hardware has to stay behind your own firewall it is drawn into the environment, with one access model and one monitoring picture covering both halves.
- CI/CD pipeline and DevSecOps engineering
CI/CD and DevSecOps
Scanning inside the pipelinePipelines that ship updates and patches without disrupting operations, with vulnerability scanning and compliance checks inside them. Built with the environment, because a new environment that can only be changed by hand is already the next project.
- Cloud cost optimization and FinOps
Cost control by design
Right-sizing and schedulingGranular monitoring, right-sizing and automated scheduling keep idle resources and over-provisioned instances out of the design rather than out of next quarter's bill. We cover what cloud financial management actually is separately.
- Cloud monitoring and reliability engineering
Observability and reliability
Auto-scaling and alertingAuto-scaling policies, real-time monitoring and alerting, so problems are caught before your users report them. This is what turned a US home-health platform from a source of outages into one with minimal support requests.
- Cloud security and compliance hardening
Security and compliance hardening
Zero-trust access controlZero-trust access control, encryption at rest and in transit, and automated guardrails that block unauthorized configuration changes. Controls go into a new environment while it is being built; a posture review or a compliance programme on an estate you already run is cybersecurity consulting.
05Trust
What a cloud infrastructure engagement hands over
Infrastructure produces a figure only where somebody was already measuring the thing it changed, and those figures are above. What every build hands over is the same three things.
- ReproducibleThe environment, defined in TerraformAutomated deployments rather than a console session somebody has to remember, so the environment outlives whoever set it up
- Costed firstA FinOps model beside the architectureWritten before the first resource exists, so the running cost is a decision somebody took rather than a number that arrived
- Least privilegeAccess agreed with your technical contactRead-only wherever the work allows, no write access to production during discovery, and we work inside your own cloud environment where your customers, insurers or shippers require it
06Stack
The stack we build and run on
Two hyperscalers, and underneath them the tools that decide how expensive it is to leave: containers, an orchestrator and Terraform, none of them tied to a provider. Microsoft Orleans is the outlier, carried because one hotel booking platform's distributed systems needed it.
07Engagement
How a build is shaped, and how you pay
Three shapes, and the difference between them is not the work. It is who holds the console after go-live, and how much of the build you fund before you have watched it carry real traffic. There is no minimum engagement period.
A dedicated cloud team
Long-runEngineers who build the environment and then stay to run it, joining your process rather than handing over a diagram. The team that made the architecture calls is the team answering for them at 2am.
- Best when
- You have no platform team and want one accountable group for uptime and spend
- You pay
- Billed monthly, per team member
- Typical start
- Two to four weeks
A scoped build
PhasedThe environment built to an agreed design, in phases you approve one at a time, so a first environment can carry something real before the rest is committed.
- Best when
- You want a running environment early and the budget released against it
- You pay
- Billed hourly, quoted per project
- Typical start
- Two to four weeks
The design on its own
Decision firstThe design of the environment and what it will cost to run, bought as one piece of work and nothing more. It is the least expensive way to learn what you would be committing to before anybody commits to it.
- Best when
- You need the shape and the running cost in writing before you commit budget
- You pay
- Outcome based, quoted per project
- Typical start
- Two to four weeks
We read it before we touch it, and rebuilding it is a separate decision
Taking over an environment nobody documented starts with reading it rather than rebuilding it: what it actually does, where the money goes, which parts nobody dares touch, and whether the answer is a rebuild, a move or a right-sizing pass. That comes back written down and ordered, and whether we then do the work is a decision you take separately.
08Industries
Industries we build cloud infrastructure for
The sector changes the architecture more than it changes the stack: peak booking traffic and a wall of third-party systems shape one environment, regulated patient data shapes another before a line of application code is written.
Logistics and transportation
Operations tooling for fleets, warehouses and order flow, run by teams with no platform engineer to hand the work to. One operator we support bought infrastructure support for Azure, SQL and a mobile application rather than hiring for it.
Hospitality and leisure
Booking traffic peaks and a long list of third-party systems set the architecture here. On one hotel booking platform the infrastructure is defined in Terraform and the services are containerized, which is what gave it room for future updates and a disaster-recovery path.
Healthcare
Regulated data decides the network before it decides anything else. On one oncology consultation platform developers have no access to the databases, access control admits only authorized users to protected health data, and the databases themselves are encrypted.
E-commerce
Online shops wired into an ERP and into marketplaces, where the size of the catalogue decides the architecture. For one European manufacturer the old systems could not deliver the performance the product range needed, so a centralized product information system was built on AWS.
Fintech and accounting
Payment rails and accounting integrations, where a reconciliation is only as trustworthy as the environment underneath it. One instance: the bookkeeping automation built for a UK financial advisory firm. A new environment here starts from who may see what, and the network design follows that answer.
EdTech and learning
Teaching and research tools that have to survive a whole term starting on the same morning, including a research university's time-tracking tool whose users are academics rather than administrators.
Describe the workload, and we will tell you what it has to run on
One call about what the software has to do, what it must never do, and who holds the console after go-live. If the honest answer is that nothing needs building yet, that is what you will hear.
What happens after you contact us
- We reply within one business dayEither an early read on what the environment has to be, or the one thing we would have to know before anyone could say.
- A call about what has to run, and what must never go downThe traffic shape you expect, the failure modes you cannot live with, the systems it has to reach, and whether a new environment is the right buy at all.
- The target architecture, with its cost model beside itWhat the environment will be, why each choice beat the alternative, and what it costs to run before any of it exists.
- Contracts and NDAs, then a start dateSigned before anyone touches a cloud account of yours. Most engagements start within two to four weeks.
09Delivery
How does cloud infrastructure development work?
Five stages: read the requirement, design the architecture and its cost model, build it in code, put the first workload on it, then run and tune it. The cost model is settled at stage two, before a single resource exists, because that is the last point at which changing it is cheap.
- Requirements and constraintsWe work out what the software has to carry: traffic shape, failure modes, the systems it has to reach, the data that decides the controls, and what must never go down. From you we need the people who know the answers. Where something already exists, we take least-privilege access agreed with your technical contact, read-only wherever the work allows.You getA written read on the workload: what has to run, what it has to reach, and what cannot be allowed to fail.
- Architecture and cost modelOur senior engineers design the target architecture for scalability, security and performance, and price it before it is built. From you we need one person who can approve a design and say no to it.You getAn architecture blueprint, the stack decision with its trade-offs recorded, and the FinOps cost model.
- Build it in codeThe environment is defined in Terraform and built as containerized services rather than assembled in a console, so it can be reproduced. Access rules, encryption and guardrails go in here, not afterwards. From you we need somebody who can sign off the access model, and the accounts the environment will live in.You getA provisioned environment defined in Terraform, containerized services, and CI/CD pipelines that ship without disrupting operations.
- The first workload goes liveSomething real runs on it, and every integration it depends on is verified against the new environment rather than against the old assumptions. From you we need a window and someone who will confirm on your own side that what the system reports is what it should report.You getThe workload live on the new environment, with each third-party integration tested against it.
- Run, monitor and tuneAuto-scaling, monitoring and alerting go live with the environment, and right-sizing continues as the load pattern becomes real. This is where the cost curve bends: the first month of production data is the first honest picture of demand. From you we need whoever will own the alerts, because an alert with no owner is noise.You getMonitoring and alerting you can see, auto-scaling tuned to observed demand, and a cost baseline to hold the next month against.
10Client voices
Our clients say
Artelogic anticipates our needs and meets them before we even identify them. My team lead wants to keep both of Artelogic’s developers on the project until the product’s release. We have a backlog of 40 big projects, so I only see Artelogic’s involvement increasing.
We had to stop the application development for business reasons unrelated to unicrew, so it didn’t go into production. However, the development was successful, and the software was functional. unicrew met deadlines and stayed on budget. It was more of a full-service provision than expected, so I was delighted.
Artelogic helped us get the solution live, and our customer was happy. Project management was on our side, but the software development tasks were managed well. Communication was open, and Artelogic responded quickly. Even though there were some technically difficult tasks, the communication was good. The most important thing was Artelogic’s good communication.
I’m consistently humbled by Artelogic’s performance. Projects of this caliber are hard to outsource. Teams come and go, and this type of work almost never gets done. They’ve kept their priorities straight as they’ve grown and always deliver.
Artelogic has enabled us to develop and roll out products significantly faster than our previous service provider. The team has great knowledge of AWS and Heroku, which has helped us streamline and reduce costs. Artelogic has helped us reduce our AWS costs by 30% or more.
11Case studies
Our case studies
Four of the five quotations above name Artelogic, because that is who those clients hired: unicrew rebranded, and a client's words are printed as they were written. Below are the two engagements that published a number of their own.
See all case studies- SaaSAWS costs down 30%+ for a US B2B SaaS platformunicrew became the programming team for a B2B SaaS platform that had run for over a decade, streamlined how it used AWS and Heroku, and sped up rollouts.30%+Lower AWS costs
HospitalityHighly Adjustable Platform for entertainment industriesunicrew developed a platform for Booked It that enhanced the customer experience for nightclub, entertainment center, and festival goers.600+Businesses using the platform
12Questions
Cloud infrastructure development: frequently asked questions
The cost and timeline answers name their drivers rather than a figure, because the service count and the integration surface decide both and the size of your current cloud bill decides neither. The last two are what gets asked once a proposal is on the table: how to compare bidders, and when to pick somebody else.
An environment is priced against what it has to carry, so this one is scoped with you rather than published as a figure that would be wrong for almost anyone who read it. The number moves on four things: how many services the environment has to run, how many external systems it has to reach, how much of it has to stay up when a component does not, and whether we operate it afterwards or hand it over. You can pay for it three ways: time and materials, billed hourly and quoted per project; fixed price, outcome based and quoted per project; or team extension, billed monthly per team member. The architecture stage produces the design and its cost model before you commit to building anything, and stopping there is a legitimate outcome.
The schedule is set by the number of services, the integration surface and how much has to be highly available, not by the size of your current cloud bill. The shape is predictable: requirements first, then the target architecture and its cost model, then an environment you can run something real on, then the tuning pass once production traffic tells you what demand actually looks like. You get the timeline with the estimate after the architecture stage, because a number quoted before it would be a guess.
Yes, and that integration surface is usually where the schedule risk lives, so it gets mapped in the first stage rather than discovered in week six. Hybrid is normal rather than a compromise: one client we support runs five cloud servers, including two database servers with load-balancing and failover, alongside a Linux server on-premise behind a firewall, and that split is the design rather than a stage on the way to something tidier. Sensitive data can stay where it is while the workloads that need elasticity move onto something new.
Yes, and that is a different purchase from this one. Our fixed-scope audit reads the accounts you actually run, finds the over-provisioned instances and idle resources, and puts automated scheduling and right-sizing in place: immediate savings of 20% to 40% on infrastructure optimization. One New York B2B SaaS client reports on Clutch that we helped reduce their AWS costs by 30% or more, by streamlining how a decade-old platform used AWS and Heroku rather than re-platforming it.
We prioritize cloud-neutral tools like Kubernetes and Terraform, and design services as containers, so an environment can be reproduced on AWS, Azure or GCP with far less friction than a hand-configured one. Lock-in is a design decision that gets made early and quietly, which is why the stack question belongs in the architecture stage rather than in a renewal negotiation three years later.
We build to a zero trust model: encryption at rest and in transit, identity and access management, and guardrails that reject a configuration change nobody approved. Controls go in while the environment is being built rather than being retrofitted onto a running one. unicrew holds ISO 27001:2022 and ISO 9001:2015, renewed through a multi-stage audit with Quay Audit UK, and ISTQB-certified QA sits inside every sprint, on every engagement. Our security practice is one dedicated security engineer plus a part-time senior security consultant, which is a real constraint on how much review one environment can absorb, so the review is sized with the design rather than added to it. We do not hold SOC 2 and do not claim it.
That is the half of this purchase people leave until last, and it is worth settling first, because an environment nobody owns drifts back into whatever it was going to be anyway. Three answers work. A dedicated team of ours keeps building and operating it. A managed team works inside your process and reports to you. Or your own engineers take it over, which is the cheapest answer when you have the bench, and the one that depends most on the environment being defined in code rather than in somebody's memory. Ongoing operation of the application on top of it is maintenance and support, which is its own arrangement.
Everyone bidding will describe the same capabilities, this page included, so the useful questions are the ones with a verifiable answer. Three of them, and ours are attached. First: at the end of it, is the environment a repository another team could reproduce from, or a console somebody configured by hand and remembers? Second: which of the cloud credentials on the page are individual certifications earned by named engineers, and which are vendor partner tiers bought by the firm? The two are earned completely differently and a logo wall rarely says which is which. Ours are AWS Certified Solutions Architects on the team, plus ISO 27001:2022 and ISO 9001:2015 audited by Quay Audit UK, and we do not hold SOC 2. Third: instead of the star rating, ask for the link to the interview behind it. Every client quoted in the reviews above opens their own Clutch review.
Three cases, and we would rather you found them now. Where a SOC 2 report is a hard requirement in your procurement process, we do not hold one and will not claim it, so we will fail that questionnaire. Where what you want is a single supplier on a round-the-clock hosting contract, that is not what we sell. unicrew is a nearshore engineering partner with engineers in Ukraine, Poland, Estonia and the UK, and a hosting provider will do that job cheaper and faster than a senior engineering team will. And where one small application runs fine on a managed platform under flat, predictable load, keep it there: a Terraform-defined environment and an orchestration layer would add operational surface that somebody then has to staff.
