Belitsoft is the partner for companies that need Azure Functions to make serverless the heart of secure, compliant, AI-powered systems. Whether it's real-time alerts in hospitals, fraud detection in fintech, or WMS sync in logistics, Belitsoft provides vetted Azure Functions developers who build production-grade, and future-proof solutions.
Healthcare Use Cases for Azure Functions
Real-time patient streams
Functions subscribe to heart-rate, SpO₂ or ECG data that arrives through Azure IoT Hub or Event Hubs. Each message drives the same code path: run anomaly-detection logic, check clinical thresholds, raise an alert in Teams or Epic, then write the event to the patient’s EHR.
Standards-first data exchange
A second group of Functions exposes or calls FHIR R4 APIs, transforms legacy HL7 v2 into FHIR resources, and routes messages between competing EMR/EHR systems. Tied into Microsoft Fabric’s silver layer, the same functions cleanse, validate and enrich incoming records before storage.
AI-powered workflows
Another set orchestrates AI/ML steps: pull DICOM images from Blob Storage, preprocess them, invoke an Azure ML model, post-process the inference, push findings back through FHIR and notify clinicians.
The same pattern calls Azure OpenAI Service to summarise encounters, generate codes or draft patient replies - sometimes all three inside a "Hyper-Personalised Healthcare Diagnostics" workflow.
Built-in compliance
Every function can run under Managed Identities, encrypt data at rest in Blob Storage or Cosmos DB, enforce HTTPS, log to Azure Monitor and Application Insights, store secrets in Key Vault and stay inside a VNet-integrated Premium or Flex plan - meeting the HIPAA safeguards that Microsoft’s BAA covers.
Developer skills that turn those healthcare ideas into running code
Core serverless craft
Fluency in C#/.NET and Python, every Azure Functions trigger (HTTP, Timer, IoT Hub, Event Hubs, Blob, Queue, Cosmos DB), input/output bindings and Durable Functions is table stakes.
Health-data depth
Daily work means calling Azure Health Data Services’ FHIR REST API (now with 2025 search and bulk-delete updates), mapping HL7 v2 segments into FHIR R4, and keeping appointment, lab and imaging workflows straight.
Streaming and storage know-how
Real-time scenarios rely on IoT Hub device management, Event Hubs or Stream Analytics, Cosmos DB for structured PHI and Blob Storage for images - all encrypted and access-controlled.
AI integration
Teams need hands-on experience with Azure ML pipelines, Azure OpenAI for NLP tasks and Azure AI Vision, plus an eye for ethical-AI and diagnostic accuracy.
Security and governance
Deep command of Azure AD, RBAC, Key Vault, NSGs, Private Endpoints, VNet integration, end-to-end encryption and immutable auditing is non-negotiable - alongside working knowledge of HIPAA Privacy, Security and Breach-Notification rules.
Fintech Use Cases for Azure Functions
Real-time fraud defence
Functions reading Azure Event Hubs streams from mobile and card channels call Azure Machine Learning or Azure OpenAI models to score every transaction, then block, alert or route it to manual review - all inside the milliseconds the RTP network and FedNow demand.
High-volume risk calculations
VaR, credit-score, Monte Carlo and stress-test jobs fan out across dozens of C# or Python Functions, sometimes wrapping QuantLib in a custom-handler container. Durable Functions orchestrate the long-running workflow, fetching historical prices from Blob Storage and live ticks from Cosmos DB, then persisting results for Basel III/IV reporting.
Instant-payment orchestration
Durable Functions chain the steps - authorization, capture, settlement, refund - behind ISO 20022 messages that arrive on Service Bus or HTTP. Private-link SQL Database or Cosmos DB ledgers give a tamper-proof trail, while API Management exposes callback endpoints to FedNow, SEPA or RTP.
RegTech automation
Timer-triggered Functions pull raw data into Data Factory, run AML screening against watchlists, generate DORA metrics and call Azure OpenAI to summarise compliance posture for auditors.
Open-Banking APIs
HTTP-triggered Functions behind API Management serve UK Open Banking or Berlin Group PSD2 endpoints, enforcing FAPI security with Azure AD (B2C or enterprise), Key Vault-stored secrets and token-based consent flows. They can just as easily consume third-party APIs to build aggregated account views.
All code runs inside VNet-integrated Premium plans, uses end-to-end encryption, immutable Azure Monitor logs and Microsoft’s PCI-certified Building Block services - meeting every control in the 12-part PCI standard.
"Secure FinTech Engineer" skill-set
Platform mastery
High-proficiency C#/.NET, Python or Java; every Azure Functions trigger and binding; Durable Functions fan-out/fan-in patterns; Event Hubs ingestion; Stream Analytics queries.
Data & storage fluency
Cosmos DB for low-latency transaction and fraud features; Azure SQL Database for ACID ledgers; Blob Storage for historical market data; Service Bus for ordered payment flows.
ML & GenAI integration
Hands-on Azure ML pipelines, model-as-endpoint patterns, and Azure OpenAI prompts that extract regulatory obligations or flag anomalies.
API engineering
Deep experience with Azure API Management throttling, OAuth 2.0, FAPI profiles and threat protection for customer-data and payment-initiation APIs.
Security rigour
Non-negotiable command of Azure AD, RBAC, Key Vault, VNets, Private Endpoints, NSGs, tokenisation, MFA and immutable audit logging.
Regulatory literacy
Working knowledge of PCI DSS, SOX, GDPR, CCPA, PSD2, ISO 20022, DORA, AML/CTF and fraud typologies; understanding of VaR, QuantLib, market-structure and SEPA/FedNow/RTP rules.
HA/DR architecture
Designing across regional pairs, availability zones and multi-write Cosmos DB or SQL Database replicas to meet stringent RTO/RPO targets.
Insurance Use Cases for Azure Functions
Automated claims (FNOL → settlement)
Logic Apps load emails, PDFs or app uploads into Blob Storage, Blob triggers fire Functions that call Azure AI Document Intelligence to classify ACORD forms, pull fields and drop data into Cosmos DB. Next Functions use Azure OpenAI to summarise adjuster notes, run AI fraud checks, update customers and, via Durable Functions, steer the claim through validation, assignment, payment and audit - raising daily capacity by 60 %.
Dynamic premium calculation
HTTP-triggered Functions expose quote APIs, fetch credit scores or weather data, run rating-engine rules or Azure ML risk models, then return a price; timer jobs recalc books in batch. Elastic scaling keeps costs tied to each call.
AI-assisted underwriting & policy automation
Durable Functions pull application data from CRM, invoke OpenAI or custom ML to judge risk against underwriting rules, grab external datasets, and either route results to an underwriter or auto-issue a policy. Separate orchestrators handle endorsements, renewals and cancellations.
Real-time risk & fraud detection
Event Grid or IoT streams (telematics, leak sensors) trigger Functions that score risk, flag fraud and push alerts.
All pipelines run inside VNet-integrated Premium plans, encrypt at rest/in transit, log to Azure Monitor and meet GDPR, CCPA and ACORD standards.
Developer skills behind insurance solutions
Core tech
High-level C#/.NET, Java or Python; every Functions trigger (Blob, Event Grid, HTTP, Timer, Queue) and binding; Durable Functions patterns.
AI integration
Training and calling Azure AI Document Intelligence and Azure OpenAI; building Azure ML models for rating and fraud.
Data services
Hands-on Cosmos DB, Azure SQL, Blob Storage, Service Bus; API Management for quote and Open-Banking-style endpoints.
Security
Daily use of Azure Key Vault, Azure AD, RBAC, VNets, Private Endpoints; logging, audit and encryption to satisfy GDPR, CCPA, HIPAA-style rules.
Insurance domain
FNOL flow, ACORD formats, underwriting factors, rating logic, telematics, reinsurance basics, risk methodologies and regulatory constraints.
Combining these serverless, AI and insurance skills lets engineers automate claims, price premiums on demand and manage policies - all on compliant, pay-per-execution Azure Functions.
Logistics Use Cases for Azure Functions
Real-time shipment tracking
GPS pings and sensor packets land in Azure IoT Hub or Event Hubs.
Each message triggers a Function that recalculates ETAs, checks geofences in Azure Maps, writes the event to Cosmos DB and pushes live updates through Azure SignalR Service and carrier-facing APIs.
A cold-chain sensor reading outside its limit fires the same pipeline plus an alert to drivers, warehouse staff and customers.
Instant WMS / TMS / ERP sync
A "pick‐and‐pack" event in a warehouse system emits an Event Grid notification. A Function updates central stock in Cosmos DB, notifies the TMS, patches e-commerce inventory and publishes an API callback - all in milliseconds.
One retailer that moved this flow to Functions + Logic Apps cut processing time 60 %.
IoT-enabled cold-chain integrity
Timer or IoT triggers process temperature, humidity and vibration data from reefer units, compare readings to thresholds, log to Azure Monitor, and - on breach - fan-out alerts via Notification Hubs or SendGrid while recording evidence for quality audits.
AI-powered route optimisation
A scheduled Function gathers orders, calls an Azure ML VRP model or third-party optimiser, then a follow-up Function posts the new routes to drivers, the TMS and Service Bus topics. Real-time traffic or breakdown events can retrigger the optimiser.
Automated customs & trade docs
Blob Storage uploads of commercial invoices trigger Functions that run Azure AI Document Intelligence to extract HS codes and Incoterms, fill digital declarations and push them to customs APIs, closing the loop with status callbacks.
All workloads run inside VNet-integrated Premium plans, use Key Vault for secrets, encrypt data at rest/in transit, retry safely and log every action - keeping IoT pipelines, partner APIs and compliance teams happy.
Developer skills that make those logistics flows real
Serverless core
- High-level C#/.NET or Python;
- fluent in HTTP, Timer, Blob, Queue, Event Grid, IoT Hub and Event Hubs triggers;
- expert with bindings and Durable Functions patterns.
IoT & streaming
Day-to-day use of IoT Hub device management, Azure IoT Edge for edge compute, Event Hubs for high-throughput streams, Stream Analytics for on-the-fly queries and Data Lake for archival.
Data & geo services
Hands-on Cosmos DB, Azure SQL, Azure Data Lake Storage, Azure Maps, SignalR Service and geospatial indexing for fast look-ups.
AI & analytics
Integrating Azure ML for forecasting and optimisation, Azure AI Document Intelligence for paperwork, and calling other optimisation or ETA APIs.
Integration & security
Designing RESTful endpoints with Azure API Management, authenticating partners with Azure AD, sealing secrets in Key Vault, and building retry/error patterns that survive device drop-outs and API outages.
Logistics domain depth
Understanding WMS/TMS data models, carrier and 3PL APIs, inventory control rules (FIFO/LIFO), cold-chain compliance, VRP algorithms, MQTT/AMQP protocols and KPIs such as transit time, fuel burn and inventory turnover.
Engineers who pair these serverless and IoT skills with supply-chain domain understanding turn Azure Functions into the nervous system of fast, transparent and resilient logistics networks.
Manufacturing Use Cases for Azure Functions
Shop-floor data ingestion & MES/ERP alignment
OPC Publisher on Azure IoT Edge discovers OPC UA servers, normalises tags and streams them to Azure IoT Hub.
Functions pick up each message, filter, aggregate and land it in Azure Data Explorer for time-series queries, Azure Data Lake for big-data work and Azure SQL for relational joins.
Durable Functions translate new ERP work orders into MES calls, then feed production, consumption and quality metrics back the other way, while also mapping shop-floor signals into Microsoft Fabric’s Manufacturing Data Solutions.
Predictive maintenance
Sensor flows (vibration, temperature, acoustics) hit IoT Hub. A Function invokes an Azure ML model to estimate Remaining Useful Life or imminent failure, logs the result, opens a CMMS work order and, if needed, tweaks machine settings over OPC UA.
AI-driven quality control
Image uploads to Blob Storage trigger Functions that run Azure AI Vision or custom models to spot scratches, misalignments or bad assemblies. Alerts and defect data go to Cosmos DB and MES dashboards.
Digital-twin synchronisation
IoT Hub events update Azure Digital Twins properties via Functions. Twin analytics then raise events that trigger other Functions to adjust machine parameters or notify operators through SignalR Service.
All pipelines encrypt data, run inside VNet-integrated Premium plans and log to Azure Monitor - meeting OT cybersecurity and traceability needs.
Developer skills that turn manufacturing flows into running code
Core serverless craft
High-level C#/.NET and Python, expert use of IoT Hub, Event Grid, Blob, Queue, Timer triggers and Durable Functions fan-out/fan-in patterns.
Industrial IoT mastery
Daily work with OPC UA, MQTT, Modbus, IoT Edge deployment, Stream Analytics, Cosmos DB, Data Lake, Data Explorer and Azure Digital Twins; secure API publishing with API Management and tight secret control in Key Vault.
AI integration
Building and calling Azure ML models for RUL/failure prediction, using Azure AI Vision for visual checks, and wiring results back into MES/SCADA loops.
Domain depth
Knowledge of ISA-95, B2MML, production scheduling, OEE, SPC, maintenance workflows, defect taxonomies and OT-focused security best practice.
Engineers who pair this serverless skill set with deep manufacturing context can stitch IT and OT together - keeping smart factories fast, predictive and resilient.
Ecommerce Use Cases for Azure Functions
Burst-proof order & payment flows
HTTP or Service Bus triggers fire a Function that validates the cart, checks stock in Cosmos DB or SQL, calls Stripe, PayPal or BTCPay Server, handles callbacks, and queues the WMS. A Durable Functions orchestrator tracks every step - retrying, dead-lettering and emailing confirmations - so Black Friday surges need no manual scale-up.
Real-time, multi-channel inventory
Sales events from Shopify, Magento or an ERP hit Event Grid; Functions update a central Azure MySQL (or Cosmos DB) store, then push deltas back to Amazon Marketplace, physical POS and mobile apps, preventing oversells.
AI-powered personalisation & marketing
A Function triggered by page-view telemetry retrieves context, queries Azure AI Personalizer or a custom Azure ML model, caches recommendations in Azure Cache for Redis and returns them to the front-end. Timer triggers launch abandoned-cart emails through SendGrid and update Mailchimp segments - always respecting GDPR/CCPA consent flags.
Headless CMS micro-services
Discrete Functions expose REST or GraphQL endpoints (product search via Azure Cognitive Search, cart updates, profile edits), pull content from Strapi or Contentful and publish through Azure API Management.
All pipelines run in Key Vault-protected, VNet-integrated Function plans, encrypt data in transit and at rest, and log to Azure Monitor - meeting PCI-DSS and privacy obligations.
Developer skills behind ecommerce experiences
Language & runtime fluency
Node.js for fast I/O APIs, C#/.NET for enterprise logic, Python for data and AI - plus deep know-how in HTTP, Queue, Timer and Event Grid triggers, bindings and Durable Functions patterns.
Data & cache mastery
Designing globally distributed catalogs in Cosmos DB, transactional stores in SQL/MySQL, hot caches in Redis and search in Cognitive Search.
Integration craft
Securely wiring payment gateways, WMS/TMS, Shopify/Magento, SendGrid, Mailchimp and carrier APIs through API Management, with secrets in Key Vault and callbacks handled idempotently.
AI & experimentation
Building ML models in Azure ML, tuning AI Personalizer, storing variant data for A/B tests and analysing uplift.
Security & compliance
Implementing OWASP protections, PCI-aware data flows, encrypted config, strong/ eventual-consistency strategies and fine-grained RBAC.
Commerce domain depth
Full funnel understanding (browse → cart → checkout → fulfilment → returns), SKU and safety-stock logic, payment life-cycles, email-marketing best practice and headless-architecture principles.
How Belitsoft Can Help
Belitsoft builds modern, event-driven applications on Azure Functions using .NET and related Azure services. Our developers:
- Architect and implement serverless solutions with Azure Functions using the .NET isolated worker model (recommended beyond 2026).
- Build APIs, event processors, and background services using C#/.NET that integrate with Azure services like Event Grid, Cosmos DB, IoT Hub, and API Management.
- Modernize legacy .NET apps by refactoring them into scalable, serverless architectures.
Our Azure specialists:
- Choose and configure the optimal hosting plan (Flex Consumption, Premium, or Kubernetes-based via KEDA).
- Implement cold-start mitigation strategies (warm-up triggers, dependency reduction, .NET optimization).
- Optimize cost with batching, efficient scaling, and fine-tuned concurrency.
We develop .NET-based Azure Functions that connect with:
- Azure AI services (OpenAI, Cognitive Services, Azure ML)
- Event-driven workflows using Logic Apps and Event Grid
- Secure access via Azure AD, Managed Identities, Key Vault, and Private Endpoints
- Storage systems like Blob Storage, Cosmos DB, and SQL DB
We also build orchestrations with Durable Functions for long-running workflows, multi-step approval processes, and complex stateful systems.
Belitsoft provides Azure-based serverless development with full security compliance:
- Develop .NET Azure Functions that operate in VNet-isolated environments with private endpoints
- Build HIPAA-/PCI-compliant systems with encrypted data handling, audit logging, and RBAC controls
- Automate compliance reporting, security monitoring, and credential rotation via Azure Monitor, Sentinel, and Key Vault
We enable AI-integration for real-time and batch processing:
- Embed OpenAI GPT and Azure ML models into Azure Function workflows (.NET or Python)
- Build Function-based endpoints for model inference, document summarization, fraud prediction, etc.
- Construct AI-driven event pipelines like trigger model execution from uploaded files or real-time sensor data
Our .NET developers deliver complete DevOps integration:
- Set up CI/CD pipelines for Azure Functions via GitHub Actions or Azure DevOps
- Instrument .NET Functions with Application Insights, OpenTelemetry, and Log Analytics
- Implement structured logging, correlation IDs, and custom metrics for troubleshooting and cost tracking
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