π How Node.js Handles 10,000 Concurrent Requests Efficiently?
Node.js handles concurrency using a single-threaded, event-driven, non-blocking I/O model.
Node.js handles many concurrent requests efficiently by using asynchronous callbacks, event loop, and
background I/O operations.
For truly parallel processing, you can scale with clusters or worker threads.
β Single-threaded, Event-driven Architecture -
Uses one main thread to handle all incoming requests asynchronously using an event loop.
β Non-blocking I/O Operations -
Network, file system, and database calls don't block the event loop. They're offloaded and callbacks are
triggered once complete.
β Event Loop + Callback Queue -
Listens for events (like data received, file read complete, etc.) and handle heavy or I/O-bound work to
background threads (via libuv) and Picks up the results and executes the appropriate callback when
ready., ensuring continuous processing without thread locking.
β Streaming Data (e.g., file uploads/downloads) -
Handles large data using streams rather than loading the entire file into memory.
β Built-in Worker Threads for CPU-heavy Tasks -
Heavy tasks (like image processing or data compression) can be offloaded using the worker_threads module
to avoid blocking the main thread.
β Cluster Module for Multi-core Scaling -
Node.js can fork multiple instances (workers) using the cluster module to utilize all CPU cores
efficiently.
βοΈ LIBUV
β Core Node.js Library β Handles asynchronous I/O
operations like file, network operations, events, etc.
β Thread Pool Management β Manages and utilizes a worker
thread pool efficiently.
β Event Dispatcher β Manages and dispatches events to
their appropriate callbacks.
π― Reactor Pattern
β The reactor pattern is one implementation technique of event driven
architecture. Reactor parrern is used to avoid the blocking of IO operation.
β It is commonly used in high-performance, scalable applications such as
web servers,
real-time systems, and messaging platforms.
β Components:
πΉ Reactor (Event Loop): net.createServer listens for connections.
πΉ Event Demultiplexer: Managed internally by libuv.
πΉ Handlers: socket.on('data') and socket.on('end').
β Flow of Execution:
The Reactor starts and waits for I/O events (e.g., new client connections).
An event occurs (e.g., client sends request), and the Reactor detects it.
The Reactor dispatches the event to the appropriate handler.
The handler processes the event and optionally sends a response.
β Node.js Foundation β Built on the Reactor Pattern
using libuv.
β Use Helmet β Set secure HTTP headers in Express with
helmet middleware.
β Limit rate of requests β Prevent brute-force attacks
using express-rate-limit.
β Enable CORS properly β Restrict cross-origin requests
using the cors middleware.
β Use Environment Variables β Store sensitive data
securely.
β Implement Authentication & Authorization β Use JWT or
OAuth for secure access.
β Set Security Headers β Use helmet middleware to
protect against vulnerabilities.
β Use secure cookies β Set httpOnly, secure, and
SameSite flags on cookies.
β Hash passwords securely β Use bcrypt or argon2, not
plain text or weak hashes.
β Keep dependencies updated β Run npm audit or use snyk
to fix known vulnerabilities.
β Limit file uploads β Validate file types and sizes,
store in secure folders.
β Implement role-based access control (RBAC) β Restrict
access based on user roles.
β Log and monitor β Use logging tools (like winston) and
monitor suspicious activities.
β Use Helmet to prevent XSS (Cross Side Scripting)
β Use CSRF library to prevent Cross Side req forgery
π Node.js Features
β Event-driven & Non-blocking β Uses an asynchronous
model for handling requests efficiently.
β Cross-platform β Runs on Windows, Linux, and macOS.
β Built-in Package Manager (npm) β Access to thousands
of reusable libraries.
β Microservices-friendly β Ideal for building scalable
and distributed systems.
β Streaming Support β Efficiently handles large file
uploads and downloads.
π How to Increase Node.js Performance
β Use Asynchronous Code - Avoid blocking methods like
fs.readFileSync();
β Use Streams for Large Files.
β Use Clustering or PM2 - Run your app on all CPU cores.
β Implement Caching (Redis/In-memory) - To reduce
database load and speed up responses.
β Use Nginx or Load Balancers - Let reverse proxies
handle SSL, compression, and load balancing efficiently.
β Write Efficient Database Queries - Use indexes,
projections, and avoid unnecessary joins or data fetching.
β Increase libuv Thread Pool - Handle more concurrent
I/O tasks by setting: UV_THREADPOOL_SIZE=64 node app.js
β Optimize Middleware Usage - Use only necessary
middleware in Express; avoid global usage unless required.
β Avoid Memory Leaks - Track memory usage using tools
like clinic.js, heapdump, or --inspect.
β Monitor and Profile Your App - Use tools like PM2,
Datadog, Prometheus, or Chrome DevTools to track performance in real time.
π How to track memory leaks?
Memory leaks occur when an application allocates memory but fails to release it
when it's no longer needed, leading to a gradual increase in memory usage and
potentially crashing the application.
π How to handle Back Pressure of stream in event loop?
Back pressure occurs when the producer (e.g., a readable stream) sends data faster than the consumer (e.g., a
writable stream)
β Problem:
A Readable Stream (fast producer)
A Writable Stream (slow consumer)
The producer is pushing data every 10ms, but the consumer is only able to consume every 100ms. This
will:
Eventually crash your app if the stream buffer overflows.
β How to handle?
1. In Node JS stream, if you use pipe() method, it will automatically automatically manages back pressure β
it pauses the readable stream when the writable stream is not ready to receive data.
2. If you're not using pipe(), you should manually do pause when the consumer is full and resume when it's
ready again.
write() method will return true / false.
On drain event - resume when the writable stream is drained.
readableStream.on('data', (chunk) => {
const canContinue = writableStream.write(chunk);
if (!canContinue) {
readableStream.pause(); // pause the readable stream
}
});
writableStream.on('drain', () => {
readableStream.resume(); // resume when the writable stream is drained
});
π Explain Event Loop Phases:
1. Timers Phase
Executes callbacks scheduled by setTimeout() and setInterval().
Timers are not guaranteed to run at the exact delayβonly after the delay has passed.
2. Pending Callbacks Phase
Executes certain I/O callbacks deferred to the next loop iteration.
Examples include errors like ECONNREFUSED for TCP sockets on some Unix systems.
3. Idle, Prepare Phase
Internal use only by Node.js and libuv.
Used to prepare the system for the poll phase.
4. Poll Phase
Retrieves new I/O events and executes their callbacks.
If there are:
Ready I/O callbacks, they are executed.
No I/O and setImmediate() scheduled, move to check phase.
No I/O or setImmediate(), it waits for callbacks or moves to timers if one is due.
5. Check Phase
Executes callbacks scheduled via setImmediate().
Always comes after poll.
Useful when you want to run something immediately after I/O.
6. Close Callbacks Phase
Executes cleanup callbacks for closed resources.
This includes sockets, streams, servers, or any event emitters that emit a 'close' event.
Example: socket.on('close', ...) or server.close().
π§° Node.js util Package
The util module in Node.js is a built-in core module that provides utility
functions helpful for working with asynchronous code, debugging, and formatting.
You donβt need to install it β just require it:
const util = require('util');
π οΈ Common use cases include:
π util.promisify β Convert callback-based functions to Promise-based ones
π Example: Using util.callbackify to convert an async function
const util = require('util');
async function fetchData() {
return 'Fetched Data';
}
const callbackStyle = util.callbackify(fetchData);
callbackStyle((err, result) => {
if (err) throw err;
console.log(result); // Fetched Data
});
π Example: Creating a reusable utility function with util.format
// utils/logger.js
const util = require('util');
function logInfo(name, value) {
const message = util.format('INFO: %s has a value of %d', name, value);
console.log(message);
}
module.exports = { logInfo };
// usage in another file
const { logInfo } = require('./utils/logger');
logInfo('Speed', 80);
π Use the util package when:
βοΈ Working with legacy callback code
π§ Debugging or inspecting complex objects
π Converting between callback and Promise styles
π§Ή Creating reusable, consistent logging and debugging helpers
π Microtasks (nextTick, Promises) Are Prioritized Between Phases
The event loop in Node.js runs in multiple phases to handle asynchronous operations. Within these phases,
microtasks (such as `process.nextTick()` and Promises) have higher priority over
macrotasks (like `setTimeout()` and `setImmediate()`). This means microtasks will be
executed before timers and I/O callbacks, even if they were queued after them.
Microtasks (like `process.nextTick()` and Promises) are executed before any I/O callbacks or timers,
even if they were added after them in the event loop.
Microtasks are processed after the execution of each phase in the event loop.
Understanding this priority helps in debugging Node.js applications, especially in real-time
applications where timing is crucial.
π How is Node.js Most Commonly Used?
Node.js is a powerful JavaScript runtime built on Chrome's V8 engine. It's widely used for
building fast, scalable, and real-time applications β especially those that are I/O-intensive.
πΌ Common use cases for Node.js include:
π Web servers and RESTful APIs β Ideal for building backend services that respond to
HTTP requests
π¬ Real-time applications β Like chat apps, notifications, and live updates using
WebSockets (e.g., with Socket.io)
ποΈ eCommerce platforms β Handling multiple user requests, carts, checkouts in
real-time
π¦ Microservices architecture β Lightweight services that scale independently
βοΈ Command-line tools β Using Node.js for scripts, automation, and dev tooling (e.g.,
ESLint, Webpack)
π‘ API Gateway and Proxy servers β Forwarding requests between services and performing
edge logic
π§ Streaming applications β Processing data streams (e.g., video, audio, logs) using
Node's stream API
π Server-side rendering (SSR) β Using frameworks like Next.js for
SEO-friendly dynamic pages
π‘ Why Node.js?
β‘ Non-blocking I/O and event-driven architecture
π Great performance for real-time, data-heavy applications
π In short: Node.js is best suited for building fast, scalable network applications β
especially those that rely heavily on asynchronous I/O operations.
π What is I/O in Node.js?
In Node.js, I/O (Input/Output) refers to any operation that involves
reading from or writing to external resources.
Common I/O operations in Node.js include:
π Reading from or writing to files (using the fs module)
π Handling HTTP requests and responses (e.g., creating web servers)
ποΈ Communicating with databases (e.g., MongoDB, MySQL)
π¨ Sending or receiving data over the network (e.g., WebSockets, TCP/UDP)
π₯οΈ Interacting with the system (stdin, stdout, environment variables)
π‘ Node.js is designed around non-blocking asynchronous I/O, which means it can perform I/O
operations in the background and continue executing other code without waiting for the I/O to finish.
π This is made possible by the libuv library and the event loop, allowing
Node.js to be highly performant and scalable, especially for I/O-heavy
applications.
π How Do You Deploy and Monitor Node.js Apps in the Cloud?
Deployment
β Use Docker containers deployed via AWS ECS,
EC2, or GCP Compute Engine
β Set up reverse proxies using Nginx or AWS
ALB
β Use PM2 or Docker Compose for process
management during testing/staging
β Automate deployments with GitHub Actions,
Jenkins, or Cloud Build
Monitoring
β Use CloudWatch for logs, metrics, and alarms (AWS)
β PM2 Monitoring for local/staging environments
β Use Application Performance Monitoring (APM) tools
like New Relic, Datadog, or Sentry
β Set up Health checks via uptime monitoring services or
custom /health endpoints
βοΈ What CI/CD Tools Have You Used?
β GitHub Actions: For build, test, lint, Docker build &
push, and deployment
β Jenkins: For custom pipelines with scripted stages and
Jenkinsfiles
β CircleCI: For fast container-based builds, mainly with
microservices
β GitLab CI (basic experience): For integrated CI/CD
pipelines in GitLab-hosted projects
π What is SAML?
SAML (Security Assertion Markup Language) is a standard that allows users to log in once and access multiple
websites or services without needing to re-enter credentials.
It works by using an identity provider (IdP) to authenticate the user and then sending a
secure "SAML assertion" to the service provider (SP) to confirm the user's identity.
This enables Single Sign-On (SSO), improving security and user convenience.
The process involves the IdP verifying the user, creating a SAML token, and passing it to the SP for access.
π§΅ Node.js Cluster Module
β The cluster module provides a way to create multiple
child processes (workers) that can run simultaneously and share the same server port.
β These child processes are known as worker processes.
β Communication between the master process and
worker processes using IPC (Inter-Process Communication).
β Workers are created using the cluster.fork() method.
β In a cluster setup:
Master process: Manages workers.
Worker processes: Handle incoming requests.
π‘ Advantages of Using Cluster Module
β Fault Tolerance β If one worker crashes, others keep
running.
β Load Balancing β Requests can be distributed among
multiple workers.
β Scalability β Easily utilize multiple CPU cores.
β Parallel Processing β Workers run independently and
handle tasks in parallel.
const cluster = require('cluster');
const http = require('http');
const os = require('os');
const numCPUs = os.cpus().length;
if (cluster.isMaster) {
console.log(`Master process PID: ${process.pid}`);
for (let i = 0; i < numCPUs; i++) {
cluster.fork();
}
cluster.on('exit', (worker, code, signal) => {
console.log(\`Worker \${worker.process.pid} died\`);
console.log('Starting a new worker...');
cluster.fork(); // Restart the worker
});
} else {
http.createServer((req, res) => {
res.writeHead(200);
res.end(\`Handled by worker \${process.pid}\`);
}).listen(3000);
console.log(\`Worker process PID: \${process.pid} is running\`);
}
π Child Process vs Worker Thread
Feature
Child Process
Worker Thread
Purpose
Runs another Node.js process (separate memory)
Runs JS code in a separate thread (shared
memory)
Use Case
Heavy CPU or I/O tasks, different scripts
Heavy CPU tasks within the same app
Communication
Via messages (uses IPC β Inter-Process
Communication)
Via messages (but faster β shares memory)
Performance
Slower due to process creation overhead
Faster because it's in the same process
Memory Usage
Higher (each child has its own memory)
Lower (shared memory with main thread)
Crash Isolation
Crash wonβt affect main app
Crash may affect main app
Module
child_process module
worker_threads module
Can run different code?
Yes (you can run any Node.js file)
Yes, but usually used for functions/tasks
Example
fork(), spawn(),
exec()
new Worker()
Good for
Running scripts, external tools, separate jobs
Parallel tasks like calculations or data
parsing
π‘ Node.js net Module
The net library in Node.js is a code Node JS module used to create TCP servers
and clients.
It allows your app to communicate over the network using TCP or IPC (inter-process
communication).
Useful for building chat servers or backend systems that donβt rely on HTTP.
Use net.createServer() to create a TCP server that handles incoming connections.
Use net.Socket to act as a client connecting to other servers.
It is event-driven, responding to events like data,
connect, and close.
π API Gateway
An API gateway is a software intermediary that manages interactions between clients and applications.
It will be single entry point for API calls, routing requests to the appropriate services.
It manages API requests, including authentication, authorization, and load balancing
Key Functions of an API Gateway:
Routing: Directs client requests to the appropriate microservice.
Authentication: Handles authentication and authorization for services.
Rate Limiting: Controls the number of requests a client can make to prevent abuse.
Load Balancing: Distributes client requests across multiple instances of a service.
API Aggregation: Combines responses from multiple services into a single response for
the client.
Request/Response Transformation: Modifies the data sent to/from the client and
microservices.
Caching: Stores frequent requests to reduce load on services and improve response
times.
Logging & Monitoring: Tracks and logs requests for analysis, error tracking, and
performance monitoring.
Example Tools for API Gateway:
Kong
AWS API Gateway
Nginx
Zuul
Express Gateway
π§ Challenges Faced in Our Last eCommerce Project & Solutions
π 1. Authentication & Security
Challenge: We need to verify the user data is secure or not and properly preventing
unauthorized access
Reason behind, team faced some malicious activity related to token misuse.
Solution:
π§ͺ Started by debugging the code and reviewing the authentication flow.
π Verified the entire process and We have implemented token versioning to
invalidate old
tokens after sensitive actions.
β Added rate limiting to prevent brute-force attacks.
π‘οΈ Ensured strong input validation across all endpoints to protect against injection attacks.
Implementation:
ποΈ Added a tokenVersion field to the user's database entry.
π¦ JWT includes this tokenVersion.
π On password update, tokenVersion increments, invalidating old tokens.
π³ 2. Order Processing & Payment Integration
Challenge: Faced issue in correct order handling even when a payment fails or is
delayed.
Solution:
π We have separated the order creation and payment confirmation step, to avoid marking orders as
complete before
payment success.
π‘ Used Stripe webhooks to listen for real-time payment status updates.
π Added retry code using axios-retry to handle temporary failures.
π§ What are difficult situations you faced ?
β 1. Scaling a Node.js App That Couldnβt Handle Traffic
Challenge: We had a large Node.js monolithic app which is handling login, product
details, and payments. As traffic increased, during peak times, the system began to slow down
significantly.
Solution:
π§± We Split the monolithic app into microservices β separate services for users, products, and
authentication.
π³ Used Docker to containerize each service for consistent deployments across environments.
βΈοΈ Implemented Kubernetes to handle service orchestration and automatic scaling based on traffic.
β‘ Integrated Redis for caching frequently requested data like product details.
π¨ Leveraged RabbitMQ for background tasks like email and notifications to offload the main app
thread.
Implementation:
π§ Set up Kubernetes clusters with horizontal pod auto-scaling.
ποΈ Cached hot data in Redis using key patterns for quick access.
π¬ Configured RabbitMQ consumers to handle bulk background processing.
Result: The app performance improved. Traffic spikes no longer caused downtime, teams
could work independently, and new features were released faster with reduced risk.
β 2. Fixing a Crash During a Flash Sale
Challenge: During a high-traffic flash sale, the app crashed. CPU usage hit 100% and key
features like login and checkout stopped working due to a memory leak in async operations.
Solution:
βοΈ Quickly scaled out horizontally by adding more servers to handle the traffic.
π΅οΈ Identified the root cause β improper use of Promise.all running thousands of
operations simultaneously.
π§― Applied a patch to limit concurrency using a task queue strategy.
π Set up alerts and dashboards using New Relic to monitor system health in real time.
π Trained the dev team on better async programming practices.
Implementation:
π Rewrote critical async flows using controlled concurrency (e.g., p-limit or custom
batching).
π Integrated New Relic with alerts for CPU, memory, and error rates.
π§ Held internal sessions for better async error handling and performance practices.
Result: System restored within 30 minutes. Future sales ran smoothly, and the
engineering team became more resilient and knowledgeable.
π€ How do you resolve conflicts in a team setting?
I am trying to address the issue early and focusing on open respectful communication.
I make sure I fully understand both perspectives by listening carefully to everyone involved.
I am trying to avoid jumping to conclusions and instead try to identify the root causeβwhether itβs
a misunderstanding, a difference in priorities, or unclear responsibilities.
Once I have clarity, I bring the parties together and make conversation, focusing on common goals
rather than personal opinions.
If needed, I involve a senior or manager to mediate, but I usually aim to resolve it within the team
itself.
At the end of the day, I remind everyone that weβre all working toward the same outcomeβdelivering
great workβand collaboration is key to that.
π¨βπ« Give an example of a time you mentored a junior developer.
β We have Onboarded a junior developer, he was new to Node.js and backend development.
β I have paired with him during code reviews to explain logic and share understandings (like error
handling, async flows, modular design).
β Also assigned small tasks aligned with their learning goals.
β I have created internal documentation for project.
β I have noticed, he has improvements in their code quality and delivery speed over time.
π How do you ensure on-time delivery and code quality in a sprint cycle?
β Clear Sprint Planning: Define well-scoped, prioritized, and achievable tasks.
π User Story Breakdown: Split stories into small, testable tasks with clear acceptance
criteria.
π₯ Daily Stand-ups: Track progress, remove blockers, and ensure alignment.
π§ͺ Test-Driven Development (TDD): Write tests before code to ensure reliability.
π Code Reviews: Enforce peer reviews for quality, consistency, and learning.
π CI/CD Pipelines: Automate testing, linting, and deployment to catch issues early.
π§Ή Refactoring Time: Allocate time to clean up and optimize code.
π Velocity Tracking: Use sprint metrics to plan realistically and avoid
overcommitment.
π¨ Definition of Done (DoD): Ensure stories meet quality, test, and documentation
standards.
π§ Retrospectives: Reflect and improve process after each sprint.
π€ What is your approach to code reviews and collaboration?
π Review for Understanding: Understand the logic and purpose first.
β Clarity & Simplicity: Keep code clean, readable, and maintainable.
π Avoid Scope Creep: Document new asks for later.
π Stay Calm: Breathe, focus, and keep your cool.
π Continuous Learning: Improve estimation and planning over time.
π How do you keep your team motivated during low-morale phases?
π¬ Open Communication: Foster trust and space to speak freely.
π Recognize Efforts: Celebrate small and big wins.
π― Refocus on Purpose: Reconnect with the mission.
π Remove Roadblocks: Proactively help resolve issues.
π€ Support Each Other: Promote empathy and peer collaboration.
π± Growth Opportunities: Encourage skill development and ownership.
π§ Balance Workload: Avoid burnout with fair task distribution.
π Add Fun: Introduce team games or casual breaks.
π Be Transparent: Share progress and updates honestly.
π§ Lead by Example: Show calmness and resilience.
π§ What is a Generator?
A Generator is a special type of function in JavaScript that you can pause
and resume. Unlike normal functions that run from start to end immediately, generators let
you produce values one at a time β perfect for handling sequences or large data in chunks.
function* defines a generator function.
yield is used to pause the function and return a value.
β On future requests, the cookie is automatically sent by the browser.
β Middleware uses the cookie to restore req.session.
β You remain authenticated until logout or session
expiry.
const express = require('express');
const session = require('express-session');
const app = express();
const PORT = 3000;
// Setup session middleware
app.use(session({
secret: 'your_secret_key', // ποΈ Secret for signing the session ID cookie
resave: false, // Don't save session if unmodified
saveUninitialized: true, // Save new sessions
cookie: { maxAge: 60000 } // Session expires in 1 minute
}));
// Set a value in session
app.get('/set', (req, res) => {
req.session.username = 'john_doe';
res.send('Session value set!');
});
// Get the value from session
app.get('/get', (req, res) => {
const username = req.session.username;
res.send(`Username in session is: ${username}`);
});
// Destroy the session
app.get('/logout', (req, res) => {
req.session.destroy(err => {
if (err) return res.send('Error logging out.');
res.send('Logged out and session destroyed!');
});
});
app.listen(PORT, () => {
console.log(`Server is running at http://localhost:${PORT}`);
});
π‘ Bonus Tip:
Always use app.use(session({...})) early in your middleware stack to ensure
req.session is available for all routes.
π Control Flow in Node.js
Control flow in Node.js means the order in which your code runs. Because Node.js uses
non-blocking and event-based programming, things donβt always run one after the other. So, it's important to
manage the flow of your code to make sure things happen in the right order and any errors are handled
properly.
π― Why It Matters
β Helps avoid unexpected behavior in asynchronous code
β Makes it easier to manage tasks that depend on timing (like file
reading or API calls)
β Makes your code easier to read and maintain
π§° Control Flow Mechanisms
Callbacks: π Functions passed into other functions to run after something is done
Promises: π Objects that represent a value that might be available now, later, or
never (success or failure of an async task)
Async/Await: π A cleaner way to write asynchronous code that looks like it's running
one step at a time
Callbacks: Traditional way, but can lead to βcallback hellβ
Promises: Cleaner chaining, better error handling
Async/Await: Most readable, recommended for modern codebases
π Ajax vs Node.js
πΉ What is Ajax?
Ajax< /strong> stands for Asynchronous JavaScript and XML. It is a technique used
in web development to make requests to the server without reloading the page. This allows for a
smoother, more interactive user experience.
Common uses of Ajax include:
Fetching new data from a server without refreshing the page
Sending data to a server in the background (e.g., form submissions)
Updating parts of a webpage dynamically (e.g., live search results)
πΉ What is Node.js?
Node.js is a runtime environment that allows you to run JavaScript on the server side. Itβs
built on Chromeβs V8 JavaScript engine and is non-blocking, meaning it can handle multiple operations at
once without waiting for one to finish before starting another.
Common uses of Node.js include:
Building server-side applications (e.g., APIs, web servers)
Handling asynchronous operations (e.g., reading files, making HTTP requests)
Real-time applications (e.g., chat apps, live updates)
βοΈ Key Differences
Aspect
Ajax
Node.js
Type
Client-side technique
Server-side runtime
Purpose
Fetch and send data asynchronously between client and server
Run JavaScript on the server and build backend applications
Role
Improves frontend user experience
Handles server-side logic and requests
Use Case
Dynamic web pages, live data updates, non-refreshing web apps
Backend services, APIs, real-time apps
π Summary
Ajax is a technique for fetching data from a server without reloading the page, mainly
used in the browser.
Node.js is a runtime that allows you to run JavaScript on the server side, enabling
backend operations and real-time features.
π SAFE
SAFe, or the Scaled Agile Framework, is a methodology designed to help large
organizations apply Agile practices across multiple teams and departments in a
coordinated way. While Agile works great for small teams, SAFe scales those
principles so that many teams can work together efficiently toward common
business goals."
How to summarize Agile and SAFe experience on a resume or interview?
"I have experience working in Agile environments following SAFe methodology, where I participated in
cross-team PI planning, collaborated within Agile Release Trains, and contributed to incremental delivery of
features aligned with business goals. Iβm familiar with SAFe ceremonies such as PI planning, system demos,
and Inspect & Adapt workshops, and have worked closely with Product Owners and Scrum Masters to ensure
continuous delivery and alignment with stakeholders."
DUAL Commit in Node.js
In Node.js, Dual Commit refers to the pattern of performing a single logical operation
that needs to be persisted in two different systems at the same time,
such as writing to a database and sending an event to a message queue,
or updating two separate databases.
Why Itβs Challenging
Atomicity: Node.js doesnβt provide built-in distributed transactions, so both writes
must succeed together.
Failure Handling: If one system fails, you must decide whether to roll back or retry.
Data Consistency: Without careful design, the two systems can become out of sync.
Common Solutions
Two-Phase Commit (2PC): Coordinating both systems to agree before final commit β heavy
and less common in Node.js.
Outbox Pattern: First write to a single βsource of truthβ (e.g., DB), then publish
events from there asynchronously.
Idempotent Operations: Ensure retries wonβt cause duplicate effects.
Example
// Example: Save order in DB + send message to Kafka
async function dualCommit(orderData) {
try {
await db.collection('orders').insertOne(orderData);
await kafkaProducer.send({
topic: 'orders',
messages: [{ value: JSON.stringify(orderData) }]
});
} catch (err) {
console.error('Dual commit failed:', err);
// Retry logic or rollback here
}
}