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Anjali Gurjar
Anjali Gurjar

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Node JS

15:40
How do you approach working in an agile environment with regular iterations and sprint-based development? answer this question all
ChatGPT said:
ChatGPT
Certainly! Here’s a detailed response to all the questions:

  1. Can you explain your experience with Node.js and how you've used it to build server-side applications?
    I have 4.5 years of experience with Node.js, using it extensively to build scalable, efficient server-side applications. My projects have included RESTful APIs, microservices, and real-time applications. I leverage Node.js’s non-blocking I/O model to handle high-throughput applications, such as processing large volumes of data with Kafka or implementing real-time features using WebSocket. Additionally, I use clustering and worker threads to improve performance on multi-core systems.

  2. What are the differences between JavaScript and TypeScript, and how have you used TypeScript in your Node.js projects?
    JavaScript is a dynamic, loosely-typed scripting language, while TypeScript is a superset of JavaScript that adds static typing, interfaces, and better tooling support. TypeScript enhances code quality, scalability, and maintainability.

In my Node.js projects, I use TypeScript to:

Define strict data models and interfaces for type safety.
Enable early detection of errors during development.
Implement Dependency Injection (DI) with better type enforcement.
Utilize advanced IDE features like IntelliSense, auto-completion, and refactoring tools.

  1. What is your experience with Express.js or similar frameworks (like Koa, Hapi, etc.)?
    I have extensive experience with Express.js as it is lightweight and widely adopted. I use it to structure RESTful APIs, manage middleware, and handle routing. I also have experience with Koa for modular, middleware-driven development, and Hapi for building highly secure and scalable applications. These frameworks allow me to design systems tailored to specific project requirements, focusing on performance and ease of maintenance.

  2. What is your experience working with both relational and non-relational databases, such as MySQL, PostgreSQL, MongoDB, or Redis?
    I’ve worked with:

Relational Databases: MySQL and PostgreSQL, mainly for applications requiring strict ACID compliance and complex queries. For example, I’ve designed normalized schemas for e-commerce platforms and used features like stored procedures and triggers.
Non-Relational Databases: MongoDB for flexible, schema-less data storage in microservices, and Redis for caching, session management, and real-time pub/sub systems. I’ve used Redis alongside Kafka to ensure low-latency data access in high-throughput systems.

  1. How do you ensure the security and reliability of a REST API you’ve developed? I follow best practices such as:

Authentication and Authorization: Using OAuth, JWT, and RBAC (Role-Based Access Control).
Input Validation and Sanitization: Leveraging libraries like express-validator to prevent SQL injection and XSS.
Rate Limiting and Throttling: Using tools like express-rate-limit to prevent abuse.
Secure Communication: Enforcing HTTPS and using security headers (via helmet).
Error Handling: Standardized error responses with proper status codes.

  1. What tools or libraries do you use for API testing and documentation? API Testing: Tools like Postman, Jest, and Supertest for integration and unit testing. Documentation: Tools like Swagger (via swagger-jsdoc) and Redoc to create and maintain comprehensive API documentation.
  2. Describe a time when you had to troubleshoot a performance issue in a Node.js application. How did you identify and resolve the problem?
    In one instance, a Node.js service handling a Kafka consumer was experiencing high latency. Using profiling tools like clinic.js and node --inspect, I identified a bottleneck in a synchronous function that was blocking the event loop. I resolved this by optimizing the function and delegating CPU-intensive tasks to a worker thread. Additionally, I implemented load balancing to distribute the workload across multiple instances.

  3. How do you approach working in an agile environment with regular iterations and sprint-based development?
    In an agile environment, I:

Participate actively in daily stand-ups, sprint planning, and retrospectives.
Break down tasks into manageable user stories, ensuring proper estimation and prioritization.
Collaborate with cross-functional teams to address blockers quickly.
Use tools like Jira and Trello to track progress and maintain transparency.
Focus on delivering incremental value with a strong emphasis on continuous feedback and improvement.

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