Legacy systems, overdue migrations, release cycles blocked by infrastructure tickets. We solve these on Azure. As a Microsoft Solutions Partner with 500+ projects since 2014, we build, migrate, and run Azure applications for SMBs across financial services, logistics, and healthcare.
Why teams choose Azure
Not features. Real outcomes, each tied to a specific service we run in production.
App Service, Functions, and serverless computing patterns let developers push code to a running environment without waiting on a server to be provisioned. For teams with a one-week release cycle driven by infrastructure delays, this is usually the first thing that visibly changes.
Autoscale handles traffic spikes automatically. Whether you're running a SaaS application with unpredictable usage or a B2B platform with payroll-day peaks, the instances adjust without a 2am alert requiring someone to intervene.
Not everything should move at once. IaaS keeps existing VMs running with minimal change. PaaS removes OS patching once a workload is ready for a managed runtime. Running hybrid cloud during a phased migration is normal, not a failure to commit.
Azure Integration Services (Logic Apps, Service Bus, API Management, Event Grid) connects your Azure workloads to on-prem databases, third-party APIs, and legacy ERPs without maintaining a tangle of custom connectors. This is where digital transformation services stop being a concept and start being plumbing that actually works.
Azure Data Services (SQL Database, Cosmos DB, Data Factory, Synapse, Data Lake) lets you store, move, and query data at whatever scale your application needs. For teams whose reporting still runs on Excel exports from a production database, this is usually the clearest before-and-after.
Left unmanaged, Azure costs drift upward. Reserved instances, right-sized SKUs, and lifecycle rules on storage keep spend predictable. Our managed IT services include a monthly cost review so drift shows up before it becomes a budget problem.
How we deliver
Each phase ends with something you can hold. We don’t move forward until it does.
We understand the actual business problem behind the tech request, map the current state of your systems and integrations, and sketch the target state with a phased plan. The output is written down before we move forward.
The people on your kickoff call are the people shipping your project. No handoff to a different team after the sale. We set up access to repos and Azure subscriptions, configure the Azure DevOps board you'll have read access to throughout, agree on the communication rhythm, and define the first sprint goal together.
Every sprint ends with a working demo, not a status update. You get a daily async standup, a mid-sprint check-in, and an end-of-sprint demo. Every AI-assisted change goes through a senior engineer review before it reaches your repo: that's how we move quickly without shipping code nobody's checked.
Weekly: your point of contact, our PM and tech lead. Monthly: your executive sponsor included. If a sprint is going sideways, you hear it from us before the demo, not during it. The Azure DevOps board is yours to read at any point, not just at review time.
Before any production deployment, we run through a pre-launch checklist covering performance, security, accessibility, and monitoring. Every deployment has a rollback plan. Staged rollouts where the risk warrants it. Two-week go-live support window after cutover, with the same team who built it on hand.
Two options at the end of every engagement. We document everything, train your team, and step back with a support retainer if you want to run it internally. Or we stay on as the dedicated team and keep shipping. Either way, the runbook, architecture docs, and handover documentation are yours before we leave.
What we build with
Our expertise is backed by certifications across compute, data, and security. If we don’t have proven capability in a service, we’ll say so instead of learning it at your expense.
Compute and build
App Service
Managed PaaS hosting for web apps and APIs
Functions
Serverless computing for event-driven workloads, billed per execution
Container Apps
Containerised workloads without managing Kubernetes directly
AKS
Kubernetes for enterprise application development that needs full orchestration control
Data and AI
Azure SQL
Our default relational database, the standard landing target for SQL Server migrations
PostgreSQL on Azure
Managed PostgreSQL for projects where the client already runs on it
Azure OpenAI
LLM integrations grounded in your own data, not the public internet
Azure AI Search
Vector search and RAG for AI agent applications
Integration and infrastructure
Azure Service Bus
Reliable message queuing between services, used across our fintech and logistics work
Azure B2C
Customer identity for external-facing applications
Azure Key Vault
Secrets management: credentials out of code and into a place you can audit
Entra ID
Identity and access for hybrid cloud and cloud-native environments
DevOps and monitoring
Azure DevOps
Pipelines, boards, and repos, our default across every engagement
Application Insights
Monitoring and telemetry, shipped with the first release on every project
Bicep
Infrastructure-as-code for Azure, reviewed like application code
Azure DevOps Services
CI/CD pipelines that enforce quality standards on every deployment
How we work
These come from our quality standards, not a marketing document. Delivery uses them as a checklist.
Every change, reviewed
Every change is reviewed by at least one other engineer before it merges. Main is always deployable. This applies to AI-assisted code the same as any other change.
Secrets in Key Vault, never in code
Credentials go in Azure Key Vault, not environment files. Dependency scanning runs automatically. Azure DevOps Services pipelines enforce this on every build.
One template, three environments
Dev, staging, and production come from the same configuration. Environment drift is how "works in staging" stops being a reliable statement. This is what makes digital transformation services outcomes hold after we leave.
Right storage tier, every time
Unit tests on core business logic, integration tests for API endpoints, end-to-end tests for critical user flows using Playwright or Cypress. Target coverage is 60-80% on new code
Access scoped to what's needed
RBAC at API and UI layers, not just the infrastructure. Applies to IaaS VMs, PaaS services, and SaaS applications. Not a checklist item: a quality standard applied on every project.
Monitoring from sprint one
Every change is reviewed by at least one other engineer before it merges. Main is always deployable. This applies to AI-assisted code the same as any other change.
Recent work
Real projects. Including what the actual problem was, not just what shipped.
Lower transaction fees, through optimized routing
A payments business needed to aggregate multiple gateways (Stripe, PayPal, Wise, regional gateways) into one system for international remittances. We built a custom software development services microservices architecture with a unified reconciliation engine and audit trails. Transaction fees dropped roughly 30% through optimized routing. Settlement times went from 3 to 5 days down to under 24 hours.
What changed
Platform across global operations
A global Environmental Health and Safety platform was running on a legacy VB.NET monolith that couldn't scale for international operations. We rebuilt it as a .NET 8 Web API with a React frontend. The platform now handles Management of Change, Incidents and Events, Action Items, LMS training, and automated scheduling across global operations. Application modernization done as a rebuild, not a patch.
What changed
Booking completion, up from 41%
A multi-location clinic network had a ten-year-old booking system where patients dropped off because booking took eight clicks. Staff manually reconciled appointments across locations every morning. We tried refactoring first, then switched to a rebuild when we found the data model was the real problem. Shipped on Next.js, .NET 8, Azure SQL, Twilio for reminders, and Power BI for the ops team. Booking completion went from 41% to 78%. Staff saved around 12 hours a week on manual reconciliation. Took 5 months.
What changed
If one of these situations looks familiar, the right starting point is a short technical call. We'll tell you honestly whether we're a fit before any proposal is written.
Get a free estimate for your situationBefore you ask
With a paid discovery. One to two weeks. We map your current state, understand the business problem, and produce an architecture doc, effort estimate, phased roadmap, and risk log. You own those outputs. If you decide not to continue after discovery, they’re still yours.
Yes. The engineers on your kickoff call are the engineers on your project. Our tech leads have 10 or more years of experience each. We don’t hand off to a different team after the sale.
You get read access to the Azure DevOps board from day one. Daily async standups, end-of-sprint demos every two weeks, weekly review with the PM and tech lead, monthly review with your executive sponsor. If something is going sideways, you hear it from us before the demo.
Sometimes rebuild wins over refactor, and sometimes it doesn’t. We assess per application rather than recommending a blanket rewrite. The healthcare case above is an example where we started with a refactor, found the data model was the real problem, and switched to a rebuild. We make that call with you, not for you. See our .NET development work for what a targeted application modernization engagement looks like.
Full documentation, runbook, architecture doc, and handover to your team. Two options: we step back with a support retainer, or we stay on as your dedicated team and keep shipping. Either way the documentation is done before we leave. We don’t call a project done without it.
Direct escalation paths to Microsoft engineering support, earlier visibility into the Azure product roadmap, and access to Azure credits for proof-of-concept work. Our Microsoft Azure consulting services are backed by that support tier. You can verify our partner status in the Microsoft partner directory.
Earning Global Recognition: A Testament to Quality Work and Client Satisfaction. Our Business Thrives on Customer Partnership
Start here
A paid discovery gives you an architecture document, effort estimate, phased roadmap, and risk log. You keep all of it whatever you decide to do next. That’s how every QServices engagement starts: with a written plan, not a proposal that assumes everything goes smoothly.
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