Azure Functions
We build Azure Functions for HTTP APIs, Service Bus consumers, timer-triggered jobs, and stateful orchestration with Durable Functions. Azure Functions integrates natively with the Azure ecosystem — Service Bus, Blob Storage, Event Grid, Cosmos DB, and Azure SQL — which makes it the natural serverless choice for teams already on Azure.
Capabilities
What we build with Azure Functions
REST · Webhooks
HTTP API Endpoints
HTTP-triggered Azure Functions for REST APIs and webhook receivers, with Azure API Management for routing, throttling, and authentication in front of the functions.
Queue · Topic
Service Bus Consumers
Functions triggered by Azure Service Bus queues and topic subscriptions for reliable async message processing with dead-letter queue handling and retry policies.
Stateful workflows
Durable Functions Orchestrations
Stateful multi-step workflows built with Durable Functions. Orchestrator functions manage the flow; activity functions do the work. Fan-out/fan-in, timer delays, and human approval patterns are all supported.
Event-driven
Event Grid Consumers
Functions subscribed to Azure Event Grid for responding to events from Azure services — blob created, resource group changed, custom domain events — without polling.
Cron · Scheduled processing
Timer Jobs
Timer-triggered functions for periodic processing: nightly data exports, scheduled reports, cleanup jobs, and health checks.
File processing
Blob Storage Triggers
Functions that fire when files arrive in Azure Blob Storage for document processing, image transformation, data ingestion pipelines, and archival workflows.
Our approach
Durable Functions for complex workflows
A standard Azure Function is stateless — it receives input, does work, and returns. For multi-step processes that span minutes or days, involve waiting for external input, or need to coordinate parallel work, Durable Functions is the right abstraction. It handles the state persistence and resumption mechanics so the orchestration code looks sequential.
Service Bus over Storage Queues for reliability
Azure Storage Queues are simpler and cheaper, but Service Bus provides features that matter for production workloads: ordered delivery with sessions, message deduplication, dead-letter queues, and topic subscriptions with filter rules. We choose Service Bus for workloads where message delivery guarantees matter.
Key Vault for secrets
Azure Functions can reference Azure Key Vault secrets directly in application settings using Key Vault references. The runtime resolves the secret value at startup without the function code needing to call the Key Vault API. We use this pattern so secrets are never visible in the Function App configuration panel.
Infrastructure as Bicep or Terraform
Function Apps, storage accounts, Service Bus namespaces, App Service Plans, and Key Vault are all defined as infrastructure code. We use Bicep for Azure-native projects and Terraform when the infrastructure spans multiple cloud providers or the team already has a Terraform workflow.
All engineering work is done by US-based engineers. We do not offshore any development or architecture work.
Part of our serverless practice
FAQ
Common questions
Virginia · United States
Building on Azure Functions?
Reach out and we will discuss the trigger model, workflow complexity, and Azure integration requirements before any work begins.