Azure Functions Consulting & Services for Enterprises

Hosting plan selection, trigger and binding architecture across Service Bus and Event Hubs, Durable Functions orchestration design, scaling and concurrency tuning, VNet integration and managed identity, and migration from WebJobs or on-prem batch jobs. Every engagement is staffed by a named senior engineer.

Consumption is right for spiky, latency-tolerant workloads where paying nothing at idle matters more than cold starts. Premium is right when you need pre-warmed instances, VNet integration, or longer executions — it has a cost floor, so it should be a deliberate choice. Dedicated makes sense when you already run an App Service Plan with spare capacity. We model your actual invocation pattern rather than defaulting to whichever plan the last team picked.

When a workflow needs state across steps: fan-out/fan-in aggregation, long-running approvals with timeouts, or a sequence where each step must survive a host restart. Chaining plain functions through queues to fake orchestration works until you need to know where a given instance actually is. Durable Functions gives you that, at the cost of understanding replay semantics — which is where most implementation bugs come from, and where we spend our review time.

Usually a trigger-side ceiling rather than a compute ceiling. For Event Hubs, scale-out is bounded by partition count — you cannot exceed one instance per partition per consumer group. For Service Bus, maxConcurrentCalls and prefetch settings in host.json cap in-flight work per instance. We look at partition design and host.json before touching the plan tier.

Yes. The isolated worker model is where the platform is going, and in-process support has published end-of-support timelines. Migration touches startup and dependency injection, binding types, and middleware, and it is a good moment to fix configuration and secrets handling at the same time. We do it app by app with parallel validation rather than a single big-bang cutover.

VNet integration requires Premium, Flex Consumption, or Dedicated hosting. We plan subnet sizing for scale-out, configure private endpoints for Storage, Service Bus, and Key Vault, and move connection strings to managed identity where the service supports it. The common failure is a subnet too small for peak instance count, which shows up as scaling failures rather than networking errors.