Run your applications on cloud infrastructure that fits the workload
Plan, migrate and operate your applications on Azure, AWS, Google Cloud or a hybrid environment. We align infrastructure with your workload, data location, recovery requirements and the costs of running the system.
Azure, AWS and Google Cloud
Migration, access and recovery planning
DevOps and application support
When infrastructure struggles with changing demand
“Our servers sit nearly idle most of the year and then fall over the one week that matters.”
Fixed hardware is sized for a guess about peak demand, and the guess is usually wrong in one direction or the other. Cloud infrastructure scales with the load you get, on the day you get it.
“We do not know what happens to our systems if the office loses power.”
On-premise infrastructure usually depends on one building staying online. A cloud environment with a proper backup and recovery plan keeps running from a different location while the office sorts itself out.
“Every quote we get is for moving our servers somewhere else. Nobody addresses why the application is slow in the first place.”
Lift-and-shift moves the same bottleneck to a more expensive address. Where the application itself is the problem, the architecture gets rebuilt for the platform it will run on rather than simply relocated onto it.
Plan the move around your applications and data
We review application dependencies, usage and recovery needs before choosing a migration path. The design covers hosting, identity, storage, monitoring and the connections you retain. Cutover checks and ongoing support are planned alongside the infrastructure.
Cloud migration and architecture
Moving systems onto Azure, AWS or Google Cloud with an architecture designed for the load you carry today.
Infrastructure as code
Environments defined in Terraform and built with Docker and Kubernetes, so a new environment is a repeatable process rather than a manual rebuild.
DevOps pipelines and continuous delivery
Automated builds and deployments through Jenkins or Azure DevOps, so a code change reaches production on a schedule you control.
System integration
Your cloud environment connected to the systems already running your business, so moving to the cloud does not mean rebuilding what already works.
Monitoring, backup and recovery
Continuous monitoring and a tested backup plan, so a failure becomes a recovery procedure rather than a rebuild from scratch.
Cost and capacity management
Capacity that adjusts to actual usage, reviewed regularly so you pay for the infrastructure your systems need this month.
Choose a migration path from the application's needs
Begin with the workload, dependencies and recovery requirements. Some systems can move with limited changes. Others need adjustments to storage, scaling or the application itself. Test those assumptions before estimating the migration cost or the savings it might produce.
Agree the data transfer, cutover checks and rollback steps. Connections to retained systems belong in the integration scope, including what happens when a service is unavailable.
Plan for every external dependency
An application that calls an AI service has another provider, data flow and usage cost to account for. Response times, access limits and failure behaviour affect the user experience. Review them alongside hosting and recovery requirements.
After release, DevOps and maintenance supports monitoring, updates and repeatable deployments. The operating plan should make it clear who investigates failures and how a change is tested before it reaches users.
Choose the right migration path
Compare relocation with architectural changes against the workload and business reason for moving. A stable on-premise system can also remain part of a hybrid environment.
Application changes
Move a compatible workload with limited application changes.
Change the components needed for scaling, managed services or resilience.
Delivery effort
Plan environment setup, transfer, validation and cutover.
Add redesign and application testing to the migration plan.
Performance
Check whether current bottlenecks will remain after the move.
Address the identified bottlenecks in the redesigned components.
Cost
Estimate the cloud resources required by the existing footprint.
Compare implementation effort with the projected operating requirements.
From infrastructure review to migration
Discovery
We walk your current workflow with the people who run it and record where work stalls, duplicates or waits.
Scope and quote
A fixed price and a dated plan, issued after discovery. Payment runs against milestones.
Design
Review the proposed workflow, interfaces and data requirements before implementation. The design work follows the scope of the project.
Build and review
Implement the agreed scope in short cycles, review the changes and test the behaviour with representative records and exceptions.
Integrate and release
Test the required connections, confirm acceptance with your team and release according to the agreed rollout plan.
Support
The team that built it handles updates, integrations and support calls after go-live.
Technologies we work with
Grouped by the layer it sits in. Every tool here is one we have shipped with.
Cloud and infrastructure
DevOps
Integration
AI-Powered Healthcare CRM & Monitoring
- Sector
- Healthcare (United States)
- Client
- A US healthcare provider
- Engagement type
- Healthcare CRM and AI monitoring build
- What we built
- Vitals and activity tracking with AI-driven insights, patient dashboards and doctor review interfaces
Questions about Cloud Solutions
Choose from your existing systems, skills, service requirements and costs. Azure may fit a business using Microsoft tools, while AWS or Google Cloud may suit other constraints. We assess those requirements during discovery and explain the architecture and ongoing operating costs.
Review your cloud requirements
Share the applications you run, their usage patterns and your recovery needs. We can assess the migration and operating choices with you.