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Event Grid, Storage Queue, or Service Bus? A Practical Guide to Azure Messaging

Azure offers several messaging services, each tailored for specific scenarios. Here's a breakdown of the differences between Azure Storage Queue , Azure Service Bus Queue , and Azure Event Grid , along with their use cases: Azure Storage Queue Purpose : Designed for simple, large-scale message queuing. Features : Part of Azure Storage infrastructure. Supports millions of messages, with each message up to 64 KB. Messages are processed asynchronously. No advanced features like FIFO (First-In-First-Out) or duplicate detection. Use Cases : When you need a lightweight, cost-effective solution for queuing. Suitable for applications requiring over 80 GB of message storage. Ideal for creating a backlog of tasks to process asynchronously. Azure Service Bus Queue Purpose : Built for enterprise-grade messaging with advanced features. Features : Supports FIFO and guaranteed mes...

What is HIPAA? and How to Handle HIPAA as Developer?

What is HIPAA? HIPAA stands for the Health Insurance Portability and Accountability Act . It is a U.S. law designed to protect sensitive patient health information (PHI - Protected Health Information) from being shared without consent. Why is HIPAA Important? It ensures that: ✅ Patient data remains private and secure ✅ Healthcare providers, insurers, and tech companies follow strict rules ✅ Patients have control over their health information Who Needs to Follow HIPAA? Hospitals & Clinics 🏥 Doctors & Nurses 👨‍⚕️ Health Insurance Companies 💳 Pharmacies 💊 Tech companies handling healthcare data (like AI applications processing medical records) HIPAA Rules (Simplified) Privacy Rule – Controls who can access and share PHI. Security Rule – Requires safeguards (encryption, secure access) to protect PHI. Breach Notification Rule – Companies must notify patients if their data is hacked or leaked. Example of a HIPAA Violation ...

Engineering Manager Interview Question : OPTUM | MICROSOFT

Sample Job Requirements Education & Experience: Bachelor’s degree in a related field or equivalent experience. 10+ years of overall experience in software engineering, preferably in healthcare. 5+ years of hands-on experience managing delivery teams. Agile & Project Management Expertise: In-depth experience with Kanban, Scrum, and Scaled Agile frameworks . Experience in providing Agile leadership and education to the organization. Proven ability to facilitate Scrum Team dependencies and collaboration . Experience in driving release management for Agile teams . Knowledge of the Software/System Development Life Cycle (SDLC) . Experience in establishing team-level cadence and managing Agile events . Tools & Agile Metrics: In-depth knowledge of Agile tools like Rally and JIRA (Rally preferred). Ability to maintain Agile metrics to provide visibility on progress and quality. Leadership & Collaboration: Proven ability to influence leadership and management t...

AI Project Manager - Architect - Interview Question and Answer

AI Project Manager - Architect - Interview Question and Answer 1. Identifying and prioritizing language model issues, and working with researchers to find a path to resolution. Q: Can you walk us through your process for identifying and prioritizing issues in a language model? ✅ Sample Answer: "I start by defining clear evaluation criteria for the model's performance, such as accuracy, bias, coherence, and safety. I use both automated metrics (e.g., perplexity, BLEU scores) and human evaluations to identify areas of concern. Once issues are identified, I prioritize them based on impact—factors like user experience, ethical concerns, and business objectives. After prioritization, I collaborate with researchers to determine the best resolution approach, whether it’s prompt engineering, fine-tuning with additional data, or refining underlying model architectures." 2. Creating novel data collection tasks for taskers to evaluate language models and to collect training ...

Circuit Breaker Pattern in .net 8

The Circuit Breaker Pattern will typically send an error response when it is in the open state . This means that the circuit breaker has detected too many failures in the underlying service or resource, and instead of trying to call it repeatedly (which could lead to further failures or resource exhaustion), it immediately returns an error. This helps protect the system from cascading failures. Key Points: Closed State: When all calls are successful, the circuit is closed and calls go through normally. Open State: If the error threshold is exceeded, the circuit opens, and all calls are immediately rejected with an error response without attempting to call the service. Half-Open State: After a cooling period, the circuit breaker allows a limited number of test calls. If these succeed, it closes the circuit; if they fail, it reopens it. In summary, the circuit breaker sends an error response when it is in the open state because it has determined that the underlying serv...

Deploying Microservices API using Azure Kubernetes Service (AKS)

Deploying Microservices API using Azure Kubernetes Service (AKS) Azure Kubernetes Service (AKS) is a managed Kubernetes service that simplifies deploying, managing, and scaling microservices. 🚀 Step-by-Step Guide to Deploy Microservices on AKS We will deploy a .NET 8 microservices-based API on AKS using Azure Container Registry (ACR) and Kubernetes manifests . 1️⃣ Prerequisites ✅ Azure Subscription ✅ Azure CLI installed ( az ) ✅ Docker installed ✅ kubectl installed ( az aks install-cli ) ✅ .NET 8 installed 2️⃣ Build and Containerize Your .NET API Create a Dockerfile for your microservice (e.g., OrderService ). 📌 Dockerfile # Use the official .NET runtime as the base image FROM mcr.microsoft.com/dotnet/aspnet:8.0 AS base WORKDIR /app EXPOSE 80 # Build the application FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build WORKDIR /src COPY ["OrderService/OrderService.csproj", "OrderService/"] RUN dotnet restore "OrderService/OrderService.csproj...

Types of Data Consistency Models

Types of Data Consistency Models In distributed systems and databases, consistency models define how data is read and written across multiple nodes. The key types are: 1. Strong Consistency 🔹 Definition: Every read receives the most recent write. No stale or outdated data is ever read. Achieved using synchronous replication . 🔹 Example: Google Spanner ensures strong consistency across data centers. A banking system that updates an account balance immediately after a transaction. 🔹 Pros & Cons: ✅ No stale reads. ✅ Ensures correctness. ❌ High latency due to synchronization. ❌ Not highly scalable. 2. Eventual Consistency (BASE Model) 🔹 Definition: Data eventually becomes consistent across all nodes. Temporary inconsistencies (stale reads) may occur. Suitable for highly available and scalable systems. 🔹 Example: DNS Systems take time to propagate changes across the internet. Amazon DynamoDB, Apache Cassandra use eventual consistency for ...

What is the SAGA Pattern?

What is the SAGA Pattern? The SAGA pattern is a design pattern used in microservices architecture to handle long-running transactions and ensure data consistency across multiple services. It is commonly used when distributed transactions with two-phase commits (2PC) are not feasible due to their blocking nature. A SAGA is a sequence of local transactions, where each step updates the database and triggers the next step. If a failure occurs, compensating transactions are executed to undo previous operations. Types of SAGA Patterns There are two primary ways to implement a SAGA pattern: Choreography (Event-driven) Each service listens to events and reacts accordingly. No centralized controller; services coordinate via events. Best for simple workflows with fewer services. Orchestration (Command-driven) A central orchestrator service manages the transaction flow. The orchestrator calls each service and waits for responses. Suitable for complex workflows with mu...