CoderRange - AI , Big data , Data Science !.

💡 Every time you call an `S3.getObject()` or run a Lambda function, you’re using invisible engineering magic.

This Meetup uncovers the internal layers of AWS, the engineering breakthroughs, and the real architectural patterns powering the cloud.

### 📜 How It All Started

• 🏛️ From Amazon’s internal infra tools (like DynamoDB) → to full-blown public cloud
• 📦 AWS EC2 launched in 2006 → the world’s 1st self-service infrastructure
• 🛠️ Built to abstract hardware & reinvent software deployment

### 🧠 Internal AWS Engineering Masterstrokes:

• 🔥 Firecracker: Ultra-fast, lightweight VMs powering Lambda & Fargate
• 🔄 S3 Internal Architecture: How AWS achieves 11 9’s of durability using Erasure Coding + Consistency
• 🌎 Global Infrastructure: Region → AZ → Edge → Local Zone → Outposts
• 🧬 Event-Driven Patterns: SNS + SQS + Lambda to build async microservices
• 💻 Nitro System: Dedicated hardware hypervisor that lets AWS offload virtualization securely

#### 1: “How AWS Changed Cloud Forever”

• Real timeline: EC2, S3, Lambda
• The evolution of cloud-native architecture

#### ⚙️ Session 2: “AWS Internals, Decoded”

• Firecracker microVM live demo (CLI-based)
• How DynamoDB avoids consistency issues
• Lambda cold-starts vs provisioned concurrency

#### ⚔️ Session 3: “You vs AWS Engineers”

• Can you build a basic version of S3 with Python?
• Simulate IAM roles and permission graphs
• Build your own microservice using SQS + Lambda

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### 🎁 What Developers Will Get:

• AWS Internal Innovation Sheet (PDF)
• Code templates to simulate cloud design patterns
• Mindmap of "How Request Flows in AWS from Browser → Lambda → S3"
• Free Invite to AWS Infra Simulation Hackathon 💥

“AWS didn’t just build a cloud. They built the new internet.”

Come understand how – and why developers like you can
recreate pieces of it.

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Are you ready to explore the world of Cloud Computing with AWS? Join our power-packed one-day workshop designed for beginners to get hands-on experience with Amazon Web Services (AWS)—the world’s leading cloud platform!

### 🎯 What You'll Learn:
✅ Introduction to Cloud Computing & AWS – Understand cloud fundamentals and why AWS leads the market
✅ AWS Core Services – Learn about EC2, S3, RDS, IAM, Lambda, and more
✅ Setting Up & Managing AWS Resources – Hands-on experience with AWS Console
✅ Deploying Applications on AWS – Launch your first cloud-based project
✅ Security & Best Practices – Learn how to optimize cost, security, and scalability
### 👥 Who Should Attend?
🔹 Absolute Beginners – No prior cloud experience needed!
🔹 IT Professionals & Developers – Upskill and advance in the cloud industry
🔹 Students & Enthusiasts – Build a strong foundation for a future in cloud computing
💡 Why Attend?
🔹 Hands-on Learning | 🔹 Expert Guidance | 🔹 Real-World Applications | 🔹 Q&A Session
🎟️ Seats Are Limited! Don’t miss this chance to future-proof your career with in-demand AWS skills!

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### 🚀 “The Intelligence Triangle” – Innovation Meetup by Coderrange

> ✨ 3 roles. 3 mindsets. 1 future powered by AI.
> This isn’t just a talk. It’s a data evolution battle, live demos, open debates, and surprise GenAI workflows that redefine your role.

### 👥 Who Is This For?

• 🔍 Data Analysts – Excel to SQL to Power BI wizards wondering: “Where do I go next?”
• 🧠 Data Scientists – ML/NLP pros exploring LLMs and advanced data ops
• 🤖 GenAI Builders – Prompt engineers, Langchain users, vector DB fans and AI agents creators

#### 📈 Session Case Studies – Real World, Real Impact

1. Analyst → Built live dashboards for 5M users in fintech (Power BI + DAX tricks)
2. Data Scientist → Deployed fraud detection using XGBoost in production
3. GenAI Dev → Built RAG chatbot to automate internal support for 300+ teams

#### 💎 Bonus Session: "Your Career in 2025+ in the Age of GenAI"

• How analysts become AI Product Managers
• Why scientists must learn vector search
• Why devs must understand business KPIs

### 🎁 FREE for All Attendees:

• 🧾 Coderrange AI CodeSheet: SQL-to-LLM cheat sheet, Python + Pandas tips, RAG boilerplate
• 🎓 Career Map PDF: Analyst → Scientist → GenAI Builder path
• 🧠 Access to post-event GitHub Repos

You don’t want to be replaced. You want to evolve.
This event helps you understand not only what’s coming – but how to ride it like a pro.

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🧠 You use databases every day. But do you really know how they think, store, index, replicate, recover?

This meetup is your full-access pass into the internal organs of the world’s 3 most powerful databases. 💾

### ⚙️ Session 1: MySQL Internals Unlocked

> Learn how MySQL evolved from a simple relational engine to a high-performance transactional beast.

• Storage Engines: InnoDB vs MyISAM
• How B+ Trees power indexes
• Redo Logs, Undo Logs & Doublewrite Buffer
• Query Optimizer Tricks – EXPLAIN plan analysis
• ACID + MVCC (multi-version concurrency control)
• Replication: Binlogs, GTIDs, Semi-sync
• Partitioning, Sharding Strategies
• Common MySQL Bottlenecks (with Fixes!)

### 🧠 Session 2: PostgreSQL – The Architect’s Database

> Postgres is not just SQL, it’s object-relational power with engineering-grade control.

• Process-based architecture: Background workers, WAL writer
• WAL Logs (Write-Ahead Logging) and crash recovery
• Query Planning: Cost-based optimizer
• PostGIS, JSONB & Full-Text Search internals
• Extensions & Hooks (pg_partman, TimescaleDB, Citus)
• MVCC & Vacuuming Mechanism
• Horizontal scaling with logical replication

🛠 Live Demo: Show query planning cost comparison + visualize WAL logs

### 🧬 Session 3: MongoDB – Document Magic Internals

> From flexible schemas to replica sets, MongoDB hides powerful structures beneath its JSON-style simplicity.

• BSON Storage Format vs JSON
• Storage Engine: WiredTiger internals
• Journaling and Checkpointing
• Replica Set: Oplog, Elections, Failover
• Sharding Architecture with Query Router (mongos)
• Indexing: Compound, Geospatial, Text
• Aggregation Pipeline Optimizations

🛠 Live Demo: Trigger a failover in a local replica set + aggregation perf tip

### 💎 Bonus Sessions:

• ✅ Build Your Own Storage Engine (in Python/Go)
• 🔐 Security Internals: Roles, Row-level Security, Field-Level Encryption
• 📊 Performance Engineering: How to benchmark DBs like a pro
• 🔁 Database Observability: Query logs, audit trails, slow query analysis

### 🎁 What Meetup Attendees Get:

• 🧾 PDF: Coderrange DB Internals Cheatsheet
• 🧪 CLI Labs to simulate replication, crash recovery, and WAL logging
• 💡 Decision Guide: “Which DB for which use case?”
• GitHub link with mini DB internals demo repo
• Access to “Build Your Own Query Optimizer” workshop invite

### 🎯 Ideal for:

• Backend & Full-stack Devs
• Data Engineers & Architects
• DBAs and Curious Founders
• Anyone scaling microservices & data platforms

“Every CRUD operation has a story. Let’s decode it.”
Learn the real internals. Build better systems.

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