Enterprise-Grade Serverless Intelligent Document Processing
Automating financial workflows with a cost-aware, event-driven architecture on Azure.
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How the system transforms manual labor into a high-efficiency, low-cost pipeline.
| Metric | Manual Processing | FinSolve IDP | Improvement |
|---|---|---|---|
| Time per Document | ~5-10 mins | < 10 seconds | 98% reduction |
| Cost per 1k Docs | $$$ (Labor) | ~1.30 SEK | Fractional |
| Availability | Working hours | 24/7 Serverless | Infinite |
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Architecture Walkthrough: Below is the high-level flow of the FinSolve IDP. By moving away from traditional polling and monolithic processing, we achieve a system that is both resilient to spikes and extremely cost-efficient.
flowchart LR Client[User/Client] -- Upload --> Blob[Azure Blob Storage] Blob -- Event --> EG[Azure Event Grid] EG -- Trigger --> F1[Function #1: Metadata & Validation] F1 -- Queue Message --> SB[Azure Service Bus] SB -- Trigger --> F2[Function #2: Heavy Document Processing] F2 -- Persistence --> DB[(Cosmos DB / SQL)] F2 -- HTTP Callback --> LA[Logic App: Notification] LA -- Alert --> Email[Email/Teams]
subgraph Reliability
SB -- Failure --> DLQ[Dead-Letter Queue]
DLQ -- Trigger --> F5[Function #5: DLQ Handler]
end
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As a Senior Architect, I believe that high-quality systems start with rigorous planning. This project is documented to reflect a professional Enterprise environment.
| Pillar | Key Focus | Documentation |
|---|---|---|
| Requirements | FR/NFR, Scalability (10k docs), Success Metrics. | Requirements Spec |
| FinOps | $0 Idle cost, Serverless-First, Consumption Tiers. | Cost Strategy |
| Resiliency | Dead-Letter Queues, Idempotency (SHA-256), Load Leveling. | Risk Analysis |
To bridge the gap between business needs and technical execution, the project follows a strict requirement trace:
- Functional (FR): Automated ingestion via Event Grid, Async orchestration with Service Bus Topics, and Persistence in Cosmos DB.
- Non-Functional (NFR): Zero-Trust Security via Managed Identity, < 10s E2E latency, and 100% Infrastructure-as-Code.
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Why this matters: By defining NFR-5 (Fault Tolerance) before writing a single line of code, the system was built with Dead-Letter Queues (DLQ) from day one, ensuring no financial data is ever lost.
"As a Senior Engineer, I don't just build features; I architect solutions for scale, reliability, and cost-efficiency."
We use Azure Service Bus as a managed buffer between ingestion and heavy processing. This prevents "Function Overload" and ensures that spikes in traffic don't lead to dropped messages or billing spikes.
The system is built on a Consumption-based model.
- Zero Idle Cost: We pay nothing when the system isn't running.
- Smart Sampling: Application Insights is tuned to 5% sampling to keep observability high and costs low.
- Managed Identity: Zero-trust security without the cost overhead of Key Vault per-secret retrieval.
🏗️ How It Works: The Event-Driven Pipeline The FinSolve IDP is designed as a high-scale, asynchronous pipeline. By moving away from traditional polling and monolithic processing, we achieve a system that is both resilient to spikes and extremely cost-efficient. System Flow (Visualized)
flowchart LR Client[User/Client] -- Upload --> Blob[Azure Blob Storage] Blob -- Event --> EG[Azure Event Grid] EG -- Trigger --> F1[Function #1: Metadata & Validation] F1 -- Queue Message --> SB[Azure Service Bus] SB -- Trigger --> F2[Function #2: Heavy Document Processing] F2 -- Persistence --> DB[(Cosmos DB / SQL)] F2 -- HTTP Callback --> LA[Logic App: Notification] LA -- Alert --> Email[Email/Teams]
subgraph Reliability
SB -- Failure --> DLQ[Dead-Letter Queue]
DLQ -- Trigger --> F5[Function #5: DLQ Handler]
end
Technical Deep Dive: For a granular look at the idempotency logic, scaling strategies, and component breakdowns, see our Full Architecture Guide.
The entire cloud ecosystem is defined as code using Azure Bicep, ensuring 100% reproducible environments and eliminating "Configuration Drift."
- Modular Design: Decoupled modules for Networking, Compute, Messaging, and Storage.
- Security First: Zero-trust architecture using Managed Identities—no connection strings or keys are stored in the code.
- Environment Parity: Parameter-driven deployments for
dev,test, andprodenvironments.
Deployment Deep Dive: For a full breakdown of the resource graphing, dependency management, and security implementation, see our Infrastructure Guide.
The project implements a robust GitHub Actions pipeline that synchronizes infrastructure state with application deployment.
- Unified Deployment: A consolidated workflow ensures that Bicep templates are validated and provisioned before the .NET application code is deployed.
- OIDC Security: Uses OpenID Connect (OIDC) for Azure authentication, eliminating the need for long-lived service principal secrets.
- Environment Integrity: Automated builds and tests ensure that only high-quality code reaches the
mainbranch.
DevOps Deep Dive: Explore the pipeline stages, security handshake, and deployment logic in the Workflow Guide.
This architecture is engineered for Zero Waste. By utilizing a 100% consumption-based model, the infrastructure scales its cost linearly with the workload.
- Azure Functions (Y1): Scaled to zero when idle.
- Cosmos DB Serverless: No provisioned RU/s — pay only for actual operations.
- Application Insights: Smart sampling (5%) to balance observability and ingestion costs.
Read the full Strategic Deep Dive →
Deep dives into the architectural, strategic, and operational layers of the FinSolve IDP.
| Document | Description | Key Artifacts |
|---|---|---|
| 📋 Requirements | Business goals, Functional (FR) and Non-Functional (NFR) specs. | User Stories, Scalability targets. |
| 🏗️ Architecture | Technical deep dive into the event-driven pipeline and component roles. | Mermaid diagrams, Idempotency logic. |
| 🛠️ Infrastructure | Full breakdown of the 7-layer Bicep modular system. | IaC, RBAC, Managed Identities. |
| 🎯 Strategy & FinOps | Cost optimization, Risk mitigation, and Architectural decisions. | Consumption-tiers, DLQ, Load Leveling. |
| 🚀 Workflow | DevOps lifecycle and CI/CD pipeline configuration. | GitHub Actions, OIDC, Environment parity. |