Azure applications from an azure development company, architected to scale, not just deployed to run.

PaaS hosting for web applications, REST APIs, and background WebJobs. We configure custom domains, SSL, auto-scale rules based on CPU or HTTP queue depth, and deployment slots for zero-downtime releases. Standard tier or higher for production to get the 99.95% SLA.

How we configure it: Bicep + App Service Plan · Deployment slots · Application Insights · Custom autoscale rules

When we choose the alternative: Azure Kubernetes Service — for containerized microservices or heavy traffic workloads

Managed Kubernetes for containerized applications requiring fine-grained control over resource allocation, multi-container workloads, or service mesh networking. We configure node pools, Horizontal Pod Autoscaler, Azure Container Registry, and AGIC for ingress.

How we configure it: AKS + ACR + AGIC · Helm charts · Azure Monitor for containers · Workload Identity

When we choose the alternative: App Service — for single-container or simpler apps that don't need Kubernetes complexity

Event-driven serverless compute for triggers, webhooks, timer jobs, and queue processing. Consumption plan for sporadic workloads, Premium plan for VNet integration and warm instances. Durable Functions for long-running orchestrations.

How we configure it: Bicep + Function App · Service Bus or Event Grid triggers · Managed Identity · Key Vault references

When we choose the alternative: Logic Apps — for integration workflows without custom code; App Service WebJobs for always-on background tasks

Fully managed SQL Server with built-in high availability, automatic backups with point-in-time restore, and Advanced Threat Protection. We configure elastic pools for multi-tenant cost efficiency, geo-replication for disaster recovery, and Transparent Data Encryption.

How we configure it: Azure SQL · Elastic Pool (multi-tenant) · Private Endpoint · Entra ID authentication · Long-term backup retention

When we choose the alternative: Cosmos DB — for document-oriented or globally distributed workloads needing sub-10ms latency

Globally distributed NoSQL for document, key-value, graph, and column-family workloads. Single-digit millisecond reads. We scope the consistency level, partition key strategy, and RU provisioning model before any data model is built.

How we configure it: Cosmos DB · SQL API or MongoDB API · Multi-region writes · Private Endpoint · Server-side functions

When we choose the alternative: Azure SQL — for relational data with complex joins, transactions, or reporting requirements

Centralized secret, key, and certificate management. Every application secret is stored in Key Vault. Applications reference secrets through Managed Identity, never connection strings in config files. We configure access policies, soft-delete protection, and HSM-backed keys for regulated workloads.

How we configure it: Key Vault · Managed Identity · Key Vault references in App Service · Secret rotation policies · Diagnostic logs

When we choose the alternative: Application settings — not recommended for secrets. Always Key Vault.

Identity platform for user authentication (SSO, MFA, Conditional Access) and service-to-service authorization (Managed Identity, App Registrations). We configure Entra ID for your application, set up user flows or B2C for external users, and implement role-based access control against Azure resources.

How we configure it: Entra ID · App Registration · Managed Identity · Conditional Access · MSAL libraries

When we choose the alternative: Custom auth — building your own identity system when Entra ID covers the requirement is rejected in our architecture review

Full CI/CD with multi-stage YAML pipelines. Build, test, SAST scan, publish artifacts, and deploy across environments with approval gates. We configure branch policies, environment protection, and integration with Azure Boards for traceability from ticket to deployment.

How we configure it: Azure DevOps · YAML pipelines · Environments + approvals · Azure Artifact feeds · SAST integration

When we choose the alternative: GitHub Actions — for teams with existing GitHub workflows; we build in either depending on your preference

Full-stack observability from VM metrics to user sessions. Application Insights SDK added to every application for distributed tracing, custom metrics, and failure rate alerting. Azure Monitor alerts fire before your users notice a problem.

How we configure it: Azure Monitor · Application Insights · Log Analytics workspace · Alert rules · Workbooks · Smart detection

When we choose the alternative: Third-party APM — Datadog or Dynatrace for advanced APM features; we integrate either alongside Monitor when required

We build on Azure App Service, Azure Kubernetes Service, Azure Functions, Azure SQL, Cosmos DB, Key Vault, Entra ID, Azure Monitor, and Azure DevOps. Service selection is driven by your workload requirements, not familiarity bias. We document the rationale for every service choice in the Architecture Decision Record before writing any infrastructure code. Expand any service in the Azure service map above to see how we implement it.

Yes. We use Bicep and Terraform for Azure infrastructure as code. All infrastructure is version-controlled alongside application code, so every environment change is tracked, reviewable, and reproducible. We do not click through the Azure portal to create production resources. No portal drift means your environments are always reproducible from the repo in under 20 minutes.

Yes. We assess your current architecture, define the target Azure architecture, and plan the migration path before moving anything. Migrations are staged to avoid downtime: lift-and-shift for quick wins, followed by cloud-native refactoring where the workload benefits from Azure-native services. See also our legacy application modernization services.

Security is scoped at the architecture level. We implement Entra ID for identity and access control, Key Vault for secrets management, Azure Policy for governance guardrails, and Microsoft Defender for Cloud for posture management. For regulated workloads, we scope the compliance boundary and service selection against the applicable standard before the first resource is deployed.

Azure development engagements typically run between $40,000 and $250,000 depending on application complexity, number of Azure services, infrastructure requirements, DevOps pipeline build, and ongoing maintenance scope. Infrastructure costs depend on your workload and scale targets. We produce a cost model for both development and infrastructure before quoting. We scope before we quote.