Application and API evolution
Review application boundaries, data access and integration points, then identify incremental changes that support the next business need.
Build new applications on Azure, or improve legacy applications, cloud architecture, APIs, deployment pipelines and infrastructure without treating modernization as a rewrite by default.

For technology leaders responsible for long-lived applications and cloud estates. Azure is a platform, not a business trigger by itself. We focus on the concrete reliability, delivery, integration or product need that makes modernization worthwhile.
Explore the supporting disciplines: .NET engineering, Azure engineering and cloud and DevOps.
Modernization should respond to a concrete constraint in the application or cloud environment: for example, a delivery bottleneck, an integration need or an architecture that makes change difficult. Understanding dependencies and operating requirements helps sequence work without assuming a full rewrite.
For technology leaders responsible for long-lived applications and cloud estates. The first useful step is to define what needs to change, how the current environment shapes the work and which outcome the team needs to be able to assess.
The exact scope depends on your systems and constraints. These workstreams describe common parts of this solution area.
Review application boundaries, data access and integration points, then identify incremental changes that support the next business need.
Consider Azure services, networking, identity and data in the context of the workload and the teams who operate it.
Improve deployment practices, infrastructure management and monitoring as part of the application changes they support.
Not every initiative starts with legacy code. We also design and build new web applications, APIs and internal tools on Azure, using the same architecture, identity and delivery practices we bring to modernization work.
ASP.NET Core and Node.js applications on Azure App Service or Azure Container Apps, with clear service boundaries and versioned APIs.
Azure Functions, Service Bus and Event Grid for background processing, integrations and scheduled jobs.
Azure SQL, Cosmos DB and Blob Storage chosen around the workload, with backup, retention and access designed in.
Microsoft Entra ID sign-in, role-based access, Key Vault for secrets and network rules that match the risk of the application.
Room for Azure OpenAI and Azure AI Search where they add value, without coupling the core application to a single model.
Application Insights, alerts, dashboards and release pipelines so the team can run what we build.
Many mid-market companies run business-critical .NET Framework applications that are hard to change, hard to deploy and costly to keep secure. We modernize them in steps that keep the business running.
Inventory the application, dependencies, data stores, integrations, hosting and deployment. Identify blockers such as unsupported libraries, Windows-only APIs and tight coupling.
Upgrade to a supported modern .NET version in stages, replacing unsupported dependencies and using compatibility tooling where it helps.
Choose between Azure App Service, Azure Functions, containers on Azure Container Apps or AKS, or virtual machines for what must stay as it is.
Move or modernize SQL Server workloads, replace brittle integrations with APIs and queues, and introduce identity through Microsoft Entra ID.
Automated builds, tests and releases with Azure DevOps or GitHub Actions, and Terraform or Bicep so environments are repeatable.
Parallel runs, feature flags, staged cutovers, rollback plans and test coverage on the workflows the business depends on.
These factors usually matter more than line count. A short assessment turns them into a realistic plan.
Request an assessmentMove from a defined initiative to an operating system through focused, reviewable stages.
Agree on the users, business context, systems and constraints that define the initiative.
Connect architecture, integrations, data, security and delivery decisions to the needs already identified.
Deliver and review the system in stages so the work can respond to product and operational feedback.
Consider ownership, monitoring, support and the next improvements as part of the delivery plan.
Explore projects that show how we’ve approached similar product, AI and platform challenges.
Selected engineering evidence across .NET applications, Azure architecture and delivery practices.
Read the storyA real-time engineering workflow for processing travel data across documents and reservation integrations.
Read the storyA modular SaaS platform connecting deal intelligence, CRM workflows and Microsoft Marketplace commerce.
Read the storySee related work across established .NET applications, Azure architecture and delivery environments.
.NET and Azure engineeringSelected engineering evidence across .NET applications, Azure architecture and delivery practices.
Read the .net and azure engineering story
AI for complex travel dataA real-time engineering workflow for processing travel data across documents and reservation integrations.
Read the ai for complex travel data storyBoth. We build new web applications, APIs and internal tools on Azure App Service, Azure Functions and Azure Container Apps, and we modernize existing .NET applications in stages.
Assessment of the current estate, upgrades to modern .NET, moving workloads to suitable Azure hosting, data migration to Azure SQL, identity through Microsoft Entra ID and CI/CD with infrastructure as code.
Not by default. Work can target the highest-value constraints in the current application, architecture, APIs or delivery process, and move in stages.
Yes. We assess the application, replace unsupported dependencies, upgrade in stages to a supported modern .NET version and add tests around the workflows that matter.
It depends on the workload: Azure App Service for web apps and APIs, Azure Functions for event-driven work, Azure Container Apps or AKS for container workloads, and virtual machines for what must remain as is.
Yes. The delivery path is planned around business workflows and dependencies, using parallel runs, staged cutovers and rollback plans.
An inventory of the application and its dependencies, a view of blockers and risks, a recommended target architecture and a sequenced plan with effort ranges.
Yes. We assess SQL Server workloads and plan migration to Azure SQL or other suitable services, along with the application changes that depend on them.
Yes. We build pipelines in Azure DevOps or GitHub Actions and define environments in Terraform or Bicep so releases and environments are repeatable.
Yes. Application architecture, Azure services, identity, integrations and deployment practices can be considered together when they affect the same initiative.