Articles by Tuhin Paul

Learn how to build robust and secure .NET Isolated Azure Functions for critical infrastructure like smart grids. This guide covers dependency injection (DI) for testability and maintainability, secure configuration using environment variables and Azure Key Vault, and best practices for enterprise deployment. Ensure safety, auditability, and trust in your serverless applications.

Eliminate the risk of leaked healthcare API keys in Azure Functions using Azure Key Vault and Managed Identity. This article provides a step-by-step guide to securely store and access FHIR credentials without embedding secrets in code, configuration files, or environment variables. Learn how to build a secure HL7 FHIR integration engine, ensuring HIPAA compliance and protecting patient data with robust audit trails and access controls.

Learn how to restrict Azure Function endpoints to trusted IP addresses using App Service access restrictions, Azure CLI rules, testing, and operational practices for payment APIs.

Discover how Azure Durable Functions provide stateful orchestration at scale for mission-critical infrastructure. Learn about Orchestrator Functions, Durable Entity Functions, and Durable Timers through a real-world smart grid load-shedding scenario during heatwaves.

Discover how to trigger Azure Durable Functions on-demand using HTTP for real-time workflows, exemplified by a healthcare claims validation scenario. Learn to securely pass input parameters, implement best practices for enterprise deployments, and ensure a resilient, auditable, and compliant pipeline. Explore deterministic instance IDs, Application Insights integration, and authentication strategies for production-ready solutions.

Learn how to build resilient serverless workflows with Azure Durable Functions to handle global supply chain disruptions. This article explores orchestrator patterns like fan-out/fan-in and chaining, using a real-world Suez Canal crisis scenario. Discover how to design for failure, implement retry policies, and ensure your orchestrations adapt and recover, guaranteeing business continuity even in the face of unexpected events.

Unlock the power of Azure Durable Functions! This article explores the three core function types (Client, Orchestrator, Activity) and demonstrates how to orchestrate complex, stateful workflows in serverless environments. Learn how to automate real-world scenarios like insurance claims processing with resilience, scalability, and minimal overhead. Master the stateful future of serverless computing and transform your enterprise workflows.

Learn how to control Azure Functions concurrency for Service Bus and Event Hubs triggers using host settings, sessions, batching, and throttling patterns.

Learn how Azure Durable Functions use durable event history and deterministic replay to run resilient, stateful workflows, illustrated through an airline passenger rebooking orchestration.

Explore the critical role of equilateral triangle validation in high-precision systems. This article delves into Python implementations for verifying equilateral triangles using side lengths and 2D coordinates, emphasizing the importance of handling floating-point precision and input validation. Learn best practices, common pitfalls, and see a real-world application in microchip manufacturing, complete with test cases and an interactive demo.

Explore the critical role of right-angled triangle detection in smart infrastructure, focusing on structural integrity monitoring in bridges. Learn how to programmatically verify right angles using Python, accounting for floating-point precision and real-world sensor data. Discover best practices for robust geometry checks, ensuring safety and preventing catastrophic failures in civil engineering applications.

Discover how Azure Functions bindings streamline data flow in serverless architectures, enabling real-time supply chain risk intelligence. This article explores passing data between input and output bindings using a practical example of monitoring global suppliers and responding to disasters. Learn best practices for building secure, observable, and resilient event-driven systems with zero-plumbing architecture, ensuring data integrity from edge to action.

Explore tetrahedron modeling in Python for 3D bioprinting. This article details representing tetrahedrons with triangular faces, crucial for creating tissue scaffolds. Learn to implement a Python class for tetrahedron modeling, validate its geometry, and understand its real-world applications in regenerative medicine. Discover how accurate modeling ensures structural integrity in bioprinted constructs, bridging geometry and biomedical engineering.

Unlock the power of Azure Functions bindings for building robust and compliant clinical trial data pipelines. Learn how to leverage input/output bindings to streamline data ingestion, validation, and processing in healthcare. Discover best practices for secure, scalable, and auditable serverless architectures using function.json and Managed Identities. Explore a real-world example with code and configuration details, emphasizing data integrity and regulatory compliance.

Unlock the power of Azure Functions! This article dives deep into the runtime, addressing critical questions about function discovery, local development, versioning, and organization. Learn how to build robust, scalable serverless solutions using .NET Isolated Process, dependency injection, and best practices for real-world scenarios like logistics anomaly detection. Master the execution model and avoid costly anti-patterns in production.

Learn how Azure Functions triggers work and why each function should have one trigger. Build scalable event-driven emergency response workflows with HTTP, Event Grid, Service Bus, and shared C# services.

Learn how to build a scalable Azure Functions patient-triage workflow using Cosmos DB input bindings, queue-triggered parallel processing, idempotency, and monitoring.

Learn how Azure Functions hosting plans, scaling, triggers, and bindings support secure, low-latency fraud detection workloads in financial systems.

Build a legal assistant using graph-augmented LLMs in Python! This article demonstrates how to create a system that understands case law relationships, enabling accurate and traceable legal reasoning. Learn to fight wrongful evictions by grounding LLMs in real case law, ensuring ethical and impactful legal AI. Empower marginalized communities with precedent-aware reasoning and accessible legal information.

Explore the crucial role of equilateral triangle validation in real-world applications like disaster response drone swarms. Learn how to implement robust Python code with floating-point precision to ensure geometric accuracy. Discover best practices for validating triangle formations, optimizing performance, and building reliable autonomous systems. This article demonstrates how a simple geometric check can have life-saving implications, ensuring precision in critical scenarios.

Learn how to check for isosceles triangles in Python, with real-world applications like drone swarm formations, robust implementations, edge-case handling, floating-point precision, and best practices for reliable geometric computations.

Learn how to model triangles using Python for real-world applications like collision avoidance in warehouse robots. This article covers point-based triangle representation, validation, and spatial queries. Build a robust and intuitive system for dynamic transformations and integration with sensor data. Includes complete code, unit tests, and an interactive demo, showcasing best practices for geometric modeling in robotics and beyond.

Learn to test whether three 2D points are collinear in Python using the cross product, with floating-point tolerance, unit tests, and a drone-route validation example.

Master struct-like data access in Python for building robust, real-time systems. Explore classes, dictionaries, and data classes with a live flight tracking example. Learn safe and efficient element access patterns, validation techniques, and best practices for maintainable code. Prevent errors and ensure data integrity in critical applications like aviation and logistics by leveraging Python's powerful data modeling capabilities.