One Month Backend Job Ready Revision Plan, Week wise plan (MERN Backend)

Week 1: Node.js Core and Advanced Express.js 🚀

Topics:

1. Node.js Core Concepts:

   • Asynchronous programming (callbacks, promises, async/await). ⏳

   • Event Loop and Streams. 🔄

   • Error handling (try/catch, async error handling). ⚠️

2. Advanced Express.js:

   • Middleware (custom middleware, error-handling middleware). 🛠️

   • Route structuring and controllers (MVC pattern). 🗂️

   • Advanced request/response handling (query params, body parsing, URL encoding). 📡

Practice:

• Refactor an existing API into a more modular structure (using MVC). 🏗️

• Implement custom middleware for logging, validation, and error handling. 📝

Week 2: MongoDB Deep Dive & Mongoose 🗃️

Topics:

1. MongoDB Advanced Concepts:

   • Indexes, types of indexes (compound, unique, text). 📊

   • Query optimization and performance tuning. 🚀

   • MongoDB Aggregation Framework. 🔍

   • Transactions in MongoDB. 💼

2. Mongoose ORM:

   • Schema design and validation. 🏗️

   • Relationships (embedding vs referencing documents). 🔗

   • Pre/post middleware (hooks) in Mongoose. 🪝

   • Virtuals and computed properties. 🧮

Practice:

• Build a schema with complex relationships (one-to-many, many-to-many). 🧩

• Use the aggregation framework for analytics (e.g., data grouping, filtering, and transformations). 📈

• Implement transactions for consistent data modification in a multi-document setup. 🔄

Week 3: API Security, Caching, and Optimization 🔒

Topics:

1. Security Best Practices:

   • Authentication with JWT (JSON Web Tokens). 🔑

   • Authorization and Role-Based Access Control (RBAC). 🛡️

   • Data validation and sanitization (express-validator). 🧼

   • Protecting against common vulnerabilities (XSS, CSRF, SQL Injection). 🛡️

2. Caching and Optimization:

   • Redis for caching (integration with Node.js and MongoDB). ⚡

   • Query optimization in MongoDB (using indexes, avoiding full scans). 🚀

   • Load balancing and clustering with PM2 and Node.js clusters. ⚖️

Practice:

• Add role-based access control to your API (e.g., admin vs user routes). 🛡️

• Implement Redis caching for performance improvements on database-heavy API endpoints. ⚡

• Optimize a MongoDB-heavy API by introducing caching and query optimization. 🚀

Week 4: Testing, Message Queues, and Deployment 🧪

Topics:

1. Testing and Debugging:

   • Unit testing with Jest and Supertest for API routes. 🧪

   • Integration testing (MongoDB and Express.js integration). 🔗

   • Debugging Node.js applications with built-in tools and external libraries (e.g., node-inspector). 🐞

2. Message Queues & Background Jobs:

   • Introduction to RabbitMQ or Kafka for message queuing. 📬

   • Asynchronous processing with background jobs (e.g., email sending, notifications). ⏳

3. Deployment and Scaling:

   • Docker for containerizing your app (Node.js and MongoDB setup with Docker Compose). 🐳

   • CI/CD pipeline setup with GitHub Actions or Jenkins. 🔄

   • Deploying your application on AWS (EC2) or Heroku with MongoDB Atlas. ☁️

Practice:

• Write unit and integration tests for all routes. 🧪

• Implement a background task (e.g., sending emails via message queues). 📬

• Containerize your Node.js app and MongoDB using Docker, and deploy it to a cloud platform (e.g., AWS, Heroku). ☁️

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Summary:

• Week 1: Focus on core Node.js concepts and advanced Express.js. 🚀

• Week 2: Dive deep into MongoDB with Mongoose and build complex relationships and transactions. 🗃️

• Week 3: Enhance security, caching, and optimize MongoDB performance. 🔒

• Week 4: Test your API thoroughly, implement message queues, and deploy your app to the cloud. 🧪

I am starting Follow this roadmap for my revision and get job ready within one month , after getting placed i will give the insight of this roadmap after on month so for next one month follow this roadmap on your risk but when i assure that this is good then you can follow by trusting to me.

Thankyou for now i will right everything as a next article what i learn and what i gey from different resources.

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