Azure applications built with the right architecture from Sprint 1, not fixed after launch.

PaaS hosting for web apps, REST APIs, and background WebJobs. We configure custom domains, SSL, and auto-scale rules tied to CPU or HTTP queue depth. Deployment slots handle zero-downtime releases. Standard tier or above for production — that gets you 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 high-traffic workloads needing per-service resource control.

Managed Kubernetes for containerized workloads that need fine-grained resource control, multi-container orchestration, or service mesh networking. We configure node pools, Horizontal Pod Autoscaler, Azure Container Registry, and AGIC for ingress. Your team gets a fully documented Helm chart structure.

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 workloads that do not need Kubernetes overhead.

Event-driven compute for triggers, webhooks, timer jobs, and queue processing. Consumption plan keeps costs near zero for sporadic workloads. Premium plan adds VNet integration and warm instances for latency-sensitive triggers. Durable Functions handle 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, and point-in-time restore. We configure elastic pools for multi-tenant cost efficiency, geo-replication for disaster recovery, and Transparent Data Encryption by default. Your data is protected before the first user logs in.

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 at scale.

Globally distributed NoSQL for document, key-value, graph, and column-family workloads. Single-digit millisecond reads at any scale. We define the consistency level, partition key strategy, and RU provisioning model before the first line of data model code is written. Wrong partition keys cause expensive rewrites.

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 lives in Key Vault. Applications reference secrets through Managed Identity — no connection strings in config files, ever. 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 for secrets are not recommended. We always use 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 and implement role-based access control on Azure resources. External users get B2C flows. Internal users get Conditional Access policies.

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

When we choose the alternative: Custom auth systems are rejected in our architecture review when Entra ID covers the requirement.

Full CI/CD with multi-stage YAML pipelines. Build, test, SAST scan, publish artifacts, and deploy across environments with approval gates. Branch policies and environment protection prevent direct pushes to production. Every deployment traces back to a ticket in Azure Boards.

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 based on your preference.

Full-stack observability from VM metrics to user sessions. Application Insights is added to every application from Sprint 1 for distributed tracing, custom metrics, and failure rate alerting. Azure Monitor alerts fire before your users notice a problem — not after a ticket is opened.

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

When we choose the alternative: Datadog or Dynatrace for advanced APM features. We integrate either alongside Azure 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. We choose services based on your workload requirements, not on what the team is most comfortable with. Every service choice is documented in an Architecture Decision Record before we write a single line of infrastructure code. Expand any service in the Azure service map above to see exactly how we configure it.

Yes. We use Bicep and Terraform. All infrastructure lives in version control alongside application code. Every environment change is tracked, reviewable, and reproducible. We do not click through the Azure portal to create production resources. If your repo is the source of truth, any environment can be rebuilt from scratch in under 20 minutes.

Yes. We assess your current architecture first. Then we define the target Azure architecture and agree on the migration path before anything moves. Migrations run in stages to avoid downtime. We start with lift-and-shift for speed. We follow that with cloud-native refactoring where the workload benefits from Azure-native services — auto-scaling, elastic pools, or event-driven processing. See also our legacy application modernization services.

Security decisions are made at the architecture stage, before any resource is deployed. 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 define the compliance boundary and map service selection to the applicable standard before Sprint 1 begins.

Azure development engagements typically run between $40,000 and $250,000. The range depends 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 detailed cost model for both development and infrastructure costs before we send a quote. No estimate arrives without a scope behind it.