Cloud architecture, migration, infrastructure as code and CI/CD for web, mobile and data products.
Stack we work in
AWS
Microsoft AzureAzure DevOpsFigures as of Oct 2026
Trusted by
We design, build and run cloud infrastructure on AWS, Microsoft Azure and Google Cloud for the web, mobile and AI products we and other teams build.
That covers architecture reviews, moving applications to the cloud, infrastructure as code, CI/CD pipelines, containers and Kubernetes, monitoring and cost control. Everything is defined in code and kept in your accounts, so your team can see, review and change it.
Deployments are manual steps on a server, and only one or two people know them. Every release feels risky, so releases happen less often.
The app runs on a single server or an old hosting plan. Traffic spikes slow it down, and there is no clear plan for backups or recovery.
Spend grows every month, but nobody can say which service or environment is driving it.
Staging and production were built by hand at different times, so bugs appear only after release.
Customers report outages before the team knows, because logs, metrics and alerts are missing or scattered.
Outcomes
A written review of your current setup with risks and costs, plus a target architecture diagram and the reasoning behind it.
Terraform and configuration code for every environment, in your repository, so the platform can be rebuilt or changed through review.
Pipelines that build, test and deploy each change to staging and production, with approvals and rollback.
Docker images, Helm charts and cluster configuration, deployed through a GitOps workflow where it fits.
Dashboards, log search and alerts tied to the signals that matter for your users and your team.
Step-by-step guides for common operations and incidents, plus a cost breakdown with recommended savings.
Shift an app from shared hosting or a single server to AWS, Azure or Google Cloud, with managed databases and backups.
Replace manual deploys with pipelines so several developers can release safely each week.
Package services as containers and run them on EKS, AKS or GKE with autoscaling and rolling updates.
Separate environments, add monitoring and plan capacity before a launch or a large customer goes live.
Run model APIs, scheduled jobs and data pipelines on cloud infrastructure built alongside our AI and data teams.
Review usage, rightsize resources and set budgets so costs track real demand.
Decide what to run where, and how it should scale.
Built with
AWSMove applications without long outages.
Repeatable environments and releases.
Built with
Azure DevOpsRun services consistently from laptop to production.
Built with
Keep systems healthy and bills predictable.
Built with
Infrastructure, pipelines and policies are written as code in your repositories, so environments can be rebuilt and reviewed.
20+ of our engineers hold AWS, Azure and Google Cloud certifications, backed by a team of 50+ engineers.
We size environments for cost as well as reliability and give you a cost report alongside the architecture.
You get runbooks and handover documentation, with managed support available after go-live.
Featured case study
Every business already owns the sensor network it needs. CCTV records everything and tells you nothing — until someone reviews the footage, usually days after the loss.
Read the case study
We review your applications, hosting, pipelines, costs and access controls, and talk to the people who deploy and support them.
You receive Current-state report and risk list
We design the target setup, choose services, and order the work so the riskiest or most costly items come first.
You receive Target architecture and roadmap
Accounts, networking, identity, Terraform modules and the first CI/CD pipeline are built and reviewed with your team.
You receive Infrastructure code in your repository
Applications move in stages, each with a tested cutover and rollback plan, while the old setup keeps running.
You receive Applications live on the new platform
We add monitoring, alerts, dashboards and budgets, then tune capacity based on real usage.
You receive Dashboards, alerts and cost report
Your team gets runbooks and training, or we keep running the platform under a support plan.
You receive Runbooks and support plan
Tech stack
Cloud and DevOps
AWSMicrosoft AzureAzure DevOpsTesting and quality
Other tools
Moving data too?
Our cloud data migration service moves databases, warehouses and pipelines to the cloud, and can run alongside your application migration.
Cost depends on the number of applications and environments, the cloud provider, how much of the setup already exists, compliance needs and whether you want ongoing managed support. After an assessment we quote a fixed price for defined project work, or a monthly fee for managed support. Cloud provider charges are billed to your own account. As a guide, a cloud assessment usually costs $3,000 to $10,000, and a CI/CD and infrastructure-as-code setup $10,000 to $40,000 (USD).
It depends on the number of applications and how tightly they are linked. Moving a single web application often takes a few weeks; a larger estate is usually planned in phases over a few months. We agree the order and timing after the assessment.
All three can run most workloads well. We usually recommend the one that fits your existing tools, team skills, data location needs and pricing, for example Azure if you already rely on Microsoft 365 and Entra ID. We work across all three and can explain the trade-offs for your case.
We use least-privilege access, encryption in transit and at rest, private networks, secrets management, audit logs and regular patching. We design data storage and access to support GDPR and the data protection rules that apply in your country, and we can host data in the region you choose. Equitysoft is ISO 27001 certified, and the same controls apply to the cloud work we run for you.
We plan for as little as possible. Applications move in stages, data is synchronized ahead of the switch, and each cutover has a tested rollback step. Where a short maintenance window is unavoidable, we schedule it with you in advance.
Application and infrastructure moves are covered here. Moving data platforms, warehouses and pipelines is handled by our cloud data migration service, and we often run both together on one plan.
Yes. We can set up the platform and pipelines and hand over, pair with your engineers while they learn the setup, or support only the parts your team does not cover.
You do. Accounts are created in your name, infrastructure code lives in your repositories, and you own the code and IP we build for you.
Yes. We build serverless APIs and event-driven jobs on AWS Lambda, Azure Functions and Google Cloud Run where usage is spiky or low, and use containers where steady load makes them cheaper. For larger engineering teams we set up an internal developer platform on Backstage, with templates and self-service environments backed by Terraform or OpenTofu.
We offer managed cloud support covering monitoring, alert response, patching, backups, cost reviews and small changes, under an agreed plan. If you prefer to run it yourselves, we hand over runbooks and documentation.
Often, yes. We review usage, remove idle resources, rightsize instances and databases, set budgets and alerts, and look at reserved or committed-use pricing where it fits. We report the findings before changing anything.
We start with an assessment of your current setup and send a written estimate and target architecture. We need access to your cloud accounts or hosting, code repositories and a technical contact on your side.
Serverless applications
APIs, scheduled jobs and event-driven workflows on AWS Lambda, Azure Functions, Google Cloud Run and managed queues, so you pay only when code runs and there are no servers to patch.
Infrastructure as code
Every environment defined in Terraform or OpenTofu, Pulumi, Bicep or AWS CloudFormation, reviewed through pull requests and checked for cost and security before it is applied.
Platform engineering
An internal developer portal built on Backstage, with a service catalog, golden-path templates and self-service environments, so developers can ship without waiting on tickets.
Multi-cloud and hybrid
Workloads that span AWS, Azure and Google Cloud, or cloud and on-premises, managed with shared identity, networking, policies and monitoring across your organization.
GitOps and policy guardrails
Changes deployed from Git with Argo CD, and policies that block insecure or untagged resources before they reach production.
Book a call with our team. We will review your current setup and outline the architecture, steps and next actions.
