Cloud migration
Move on-premise applications, databases and infrastructure to AWS, GCP or Azure. We plan the waves, map dependencies and choose lift-and-shift, re-platform or re-architect per workload, based on your timeline and goals.
We design, migrate, build and run production cloud infrastructure on AWS, Google Cloud and Azure: from greenfield cloud-native builds to moving a whole data centre off-premise. Architected for reliability, sized for cost, built to support your compliance requirements, and handed over as code that is yours on full payment.
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A senior engineer reads every enquiry and will reply as soon as they can.
Book a time that suits you, or send a message on WhatsApp.
4.8★
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4.6★
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2020
Building software since
Technologies we build with
The short answer
Cloud engineering services cover designing, building, migrating and operating applications and infrastructure on AWS, Google Cloud and Microsoft Azure. That includes the architecture, the network and identity design, the migration itself, cost control, security and compliance, and the day-two operations that keep it all running.
It is not the same as cloud hosting. Moving a server to the cloud unchanged usually costs more than keeping it where it was. Cloud engineering means using what the cloud is actually good at, managed databases, serverless compute, auto-scaling, multi-region failover and infrastructure as code, so the platform can be cheaper, safer and easier to change than the one it replaces.
SpiderHunts Technologies is a UK-registered company (London) with engineers in Lahore. Since 2020 we have delivered cloud engineering solutions for startups, scale-ups and enterprises in the UK, USA, Canada and Europe, working as an extension of your team rather than a black box.
What we deliver
The full cloud lifecycle, from strategy and architecture to migration, cost control, security and ongoing operations. Take one service or all of them.
Move on-premise applications, databases and infrastructure to AWS, GCP or Azure. We plan the waves, map dependencies and choose lift-and-shift, re-platform or re-architect per workload, based on your timeline and goals.
Applications built on AWS Lambda, API Gateway, DynamoDB and EventBridge, or Cloud Run and Azure Functions. No servers to patch, costs that track usage, and designed to scale with demand.
Multi-cloud or hybrid architectures across AWS, GCP and Azure with unified networking, consistent security policy, workload portability and automated failover to a second region or provider.
An audit of your AWS, GCP or Azure bill, then the fixes: rightsizing, Reserved Instances and Savings Plans, Spot capacity, storage tiering and removing idle resources.
Least-privilege IAM, VPC architecture, encryption, WAF, GuardDuty and Security Hub, plus compliance automation and evidence for SOC 2, ISO 27001, GDPR and HIPAA audits.
Monitoring, incident response, cost management, security patching and monthly architecture reviews: the output of a cloud team without the cost of hiring a full-time cloud engineer.
Why migrations go wrong
Cloud projects overrun for the same few reasons: weak planning, dependencies nobody mapped, and treating the cloud like a rented data centre. Here is the difference good engineering makes.
Cloud bill climbing, or a migration you keep postponing?
Send us a line about your current setup. We will tell you what we would change first, what it should cost and where the likely savings are: free.
Examples
Illustrative examples of what we build, not client results.
A large on-premise estate moved to AWS: VPC architecture, RDS database migration, an S3 data lake and CloudFront CDN, migrated in phases with production cutovers planned around trading hours.
Aim: move the estate without disrupting trading
A monolithic REST API rebuilt on AWS Lambda, API Gateway and DynamoDB, removing the fleet of servers the team had been patching and scaling by hand.
Aim: no servers to patch, and costs that track usage
AWS primary with a Google Cloud recovery environment, replicated data and automated failover that is exercised on a schedule rather than written into a document and forgotten.
Aim: a recovery plan that is tested, not just documented
A large AWS bill audited line by line, then reduced through Reserved Instances, rightsizing, S3 lifecycle policies and terminating resources nobody was using.
Aim: a smaller monthly bill for the same workload
An AWS architecture for a US healthcare startup designed around HIPAA safeguards, encryption at rest and in transit, CloudTrail audit logging and VPC isolation for PHI workloads.
Aim: PHI isolated and every access logged
A microservice application moved to Google Kubernetes Engine with Helm chart management, Istio service mesh, Workload Identity and Artifact Registry.
Aim: faster, repeatable deployments
How we work
Four phases, each with a sign-off, so architecture decisions are made before money is spent on building them.
We audit your infrastructure, applications and workloads, map dependencies, identify migration candidates and recommend the platform and strategy that suit your goals and timeline.
Free call · 1–2 weeksTarget architecture: VPC layout, network topology, IAM structure, data residency, compliance controls and IaC module design, reviewed and signed off before implementation starts. You get a written quote with scope and exclusions agreed up front.
1–3 weeksDelivered in phases. Lower-risk workloads go first, environments run in parallel, and production systems move with cutover plans designed to minimise downtime and a rollback path.
Typically 2 weeks–6 monthsWe tune costs, harden security posture, set up monitoring and alerting, then either run it as a managed service or hand over fully documented infrastructure to your team.
OngoingClear scope · Regular demos · Full handover
Before you spend anything
Not every business needs a cloud programme. Here is how we would judge it if we were in your seat.
Decision guide
Choosing the platform is one of the most consequential decisions in a migration. We have no reseller incentive, so this is how we compare them on the criteria engineering teams care about.
| AWS | Google Cloud (GCP) | Microsoft Azure | |
|---|---|---|---|
| Maturity | Largest provider, broadest service range | Third largest, strong in data and containers | Second largest, deep enterprise footprint |
| Best for | Most workloads | Data analytics, AI/ML, Kubernetes | Microsoft-stack enterprises, hybrid Active Directory |
| Managed Kubernetes | EKS: solid and widely adopted | GKE: best in class | AKS: good Azure integration |
| Serverless | Lambda: most mature ecosystem | Cloud Run: container-native | Azure Functions: good .NET support |
| AI/ML services | SageMaker, Bedrock, Rekognition | Vertex AI, BigQuery ML | Azure OpenAI, Azure AI services |
| UK/EU data residency | eu-west-2 London, eu-west-1 Ireland | europe-west2 London, europe-west regions | UK South, UK West, North Europe |
| Pricing levers | Reserved Instances, Savings Plans | Sustained and committed use discounts | Hybrid Benefit for Windows and SQL licences |
Pricing
Cost depends on the number of servers and applications, data volumes, and how much re-architecting is worth doing. Every project gets a written quote, with scope and exclusions agreed up front, after the assessment.
from £3,000
1–2 weeks
A line-by-line review of your AWS, GCP or Azure spend with a prioritised savings plan, and the option for us to implement it.
Get a quote →£5,000–£15,000
2–6 weeks
One application and its database moved to the cloud, re-platformed where it pays, secured, monitored and codified in Terraform.
Get a quote →£30,000–£150,000+
4–6 months
A full estate migrated in waves, with landing zone, networking, compliance controls, disaster recovery and cutovers planned to minimise downtime.
Get a quote →from £2,000/mo
Monthly retainer
Optional, separately agreed: monitoring, incident response, patching, cost management and monthly architecture reviews, without a full-time hire.
Get a quote →Cloud provider charges are billed to you directly and estimated in your quote. Timelines are typical estimates, confirmed in your quote. Prices exclude VAT.
Technology
Fluent across all three major clouds and the toolchain around them. We choose for your environment and team, not for our preferences.
Sectors
Compliance obligations, data sovereignty, uptime needs and cost sensitivity vary a lot by sector. These are the ones we know best.
FAQ
Straight answers to what buyers ask before they sign.
Still have a question?
Ask us directly. A senior engineer reads every question.
Ask about your projectCloud engineering services are the design, build, migration and operation of applications and infrastructure on cloud platforms such as AWS, Google Cloud and Microsoft Azure. They cover cloud architecture, migration, serverless development, security and compliance, cost optimisation and ongoing managed operations: going well beyond simply hosting servers in the cloud.
A focused migration of a single application typically costs £5,000–£15,000. A full data centre migration costs £30,000–£150,000+, depending on server count, data volumes and how much re-architecting is worthwhile. Cloud cost optimisation engagements start at £3,000 for the initial audit. We give a written quote, with scope and exclusions, after a free assessment call.
A single application migration typically takes two to six weeks. A full data centre migration typically takes four to six months. We plan in phases, move low-risk workloads first, run environments in parallel and plan production cutovers to minimise downtime, so there is no big-bang switchover.
AWS is the most mature platform with the broadest range of services and suits most workloads. Google Cloud is strongest for data analytics, Kubernetes and AI/ML. Azure is the natural fit for Microsoft-heavy organisations already running Microsoft 365, Active Directory and Windows Server. We recommend based on your workloads, your team’s skills and your existing vendor agreements, and we have no reseller incentive either way.
Yes: it is one of our most requested services. We audit your AWS, GCP or Azure spend, find the waste (idle resources, over-provisioned instances, the wrong storage classes, missing commitments) and implement the savings. How much can be saved depends on how the account has been run, so the audit ends with a prioritised plan showing where the savings are before you commit to implementation.
Security is part of the architecture, not an afterthought. Our engagements typically include least-privilege IAM, VPC segmentation, encryption at rest and in transit, security group hardening, WAF configuration and controls designed to support your framework: SOC 2, ISO 27001, GDPR or HIPAA. We add continuous monitoring with GuardDuty, Security Hub or the equivalent on GCP and Azure, and document it for your auditors. Certification and your own compliance obligations remain with your organisation.
Cloud hosting means running your servers or applications on a provider’s infrastructure. Cloud engineering means architecting and operating the whole stack to use the cloud’s capabilities: auto-scaling, managed services, serverless, multi-region resilience, cost efficiency and compliance. Hosting is one small part of cloud engineering.
Cloud engineering is about the platform: architecture, networking, security, migration and cost. DevOps is about how software gets onto that platform: CI/CD pipelines, automated testing, containers and release practices. The two overlap in infrastructure as code and monitoring, and most clients need both: see our DevOps consulting service.
Yes, as an optional, separately agreed retainer. Managed cloud covers infrastructure monitoring, incident response, cost management, security patching and monthly architecture reviews, from £2,000 a month. It is an alternative to hiring a full-time cloud engineer, on monthly terms set out in your agreement.
Yes. Everything runs in cloud accounts you own, and the infrastructure is defined in Terraform, Pulumi or AWS CDK in your repository, with ownership of the code we write transferring to you on full payment, as set out in your contract. You get architecture diagrams, runbooks and decision records, so your team or another supplier can take it over at any point.
Yes. Most engagements start from an existing AWS, Azure or GCP environment rather than a blank page. We audit what you have, fix the highest-impact issues first and work alongside your developers, pairing with them so the knowledge stays in your business.
Yes. SpiderHunts Technologies is registered in London with engineers in Lahore, and works remotely with clients in the UK, USA, Canada, Europe and South Africa. We deploy to the region your data needs to live in and design with GDPR, CCPA and PIPEDA requirements in mind where they apply.
Start here
Whether it is a migration, a bill that needs cutting or a new platform, describe where you are now. We will come back with an approach, an indicative price range and a typical timeline: free, and with no obligation.
Thanks, that’s with us.
A senior engineer reads every enquiry and will reply as soon as they can.
Book a time that suits you, or send a message on WhatsApp.