CoderRange - AI , Big data , Data Science !.

## 🧠 Agenda:

### 1. Coding Challenge: Implementing a Concurrent Safe Cache (25 mins)

• Objective: Design and implement a thread-safe in-memory cache in Go that supports concurrent read and write operations.
• Key Concepts: Goroutines, mutexes, channels, and synchronization.
• Discussion Points:
• Ensuring data consistency in concurrent environments.
• Performance trade-offs between different synchronization techniques.

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### 2. Face-to-Face Interview Simulation: Debugging a Goroutine Leak (25 mins)

• Scenario: You're presented with a Go application that exhibits increased memory usage over time.
• Tasks:
• Identify and resolve the goroutine leak causing the memory issue.
• Discuss best practices to prevent such leaks.
• Key Concepts: Goroutine lifecycle management, context cancellation, and profiling tools

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### 3. System Design Session: Designing a URL Shortener Service in Go (35 mins)

• Objective: Architect a scalable and efficient URL shortening service similar to Bitly.
• Discussion Points:
• Database schema design and storage strategies.
• API design and rate limiting.
• Handling high availability and fault tolerance.

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### 4. Real-World Product Issue: Handling Panic and Recover in Production (25 mins)

• Scenario: A production Go application crashes due to an unhandled panic.
• Tasks:
• Implement panic recovery mechanisms to prevent application crashes.
• Discuss logging and alerting strategies for such incidents.
• Key Concepts: Error handling, defer-panic-recover pattern, and observability

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### 5. Q&A and Interactive Discussion (30 mins)

• Open floor for attendees to ask questions, share experiences, and discuss challenges faced during interviews or in real-world Go projects.

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Are you a Data Analyst with 2-8 years of experience craving the next-level skills to crack complex datasets, optimize pipelines, and deliver real-time business impact?
If yes, this meetup is your golden ticket!

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🎯 What we’re covering:
🚀 Extreme Real-Time Analytics & Data Internals

• Architecting lightning-fast data pipelines that don’t break under pressure
• Understanding streaming data platforms (Kafka, Spark Streaming) — beyond the basics
• Real-time anomaly detection, predictive analytics, and instant dashboards

📊 Advanced Data Modeling & Query Optimization

• Deep dive into SQL internals and performance tuning for massive datasets
• How to design scalable, maintainable data models for complex business scenarios
• Data warehouse vs. data lake vs. lakehouse: pros, cons, and use cases

🛠️ Tools & Techniques You’ll Love

• Leveraging Python & R for advanced stats and machine learning
• Automation hacks for ETL, data cleaning, and data quality checks
• Hands-on tips for using BI tools like Power BI, Tableau with real-time data

📈 What real employers expect from senior analysts

• Storytelling with data under extreme time constraints
• Cross-functional collaboration: influencing product and engineering with data
• From data wrangling to strategic decision-making: your complete playbook

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### 🔧 Hands-On Demo: Building a Scalable Cloud Automation Module

Join us for an interactive session where we delve into the evolution of cloud automation. We'll demonstrate how to implement a cloud automation module using traditional scripting methods and then enhance it with AI capabilities.

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### 🛠️ What You'll Learn:

#### Without AI: Traditional Automation

• Infrastructure as Code (IaC): Deploy resources using tools like Terraform or AWS CloudFormation.
• CI/CD Pipelines: Set up automated deployment pipelines with Jenkins or GitHub Actions.
• Monitoring & Alerts: Configure monitoring using CloudWatch or Prometheus.

#### With AI: Intelligent Automation

• AI-Powered Monitoring: Implement anomaly detection using AI models to proactively identify issues.
• Smart Scaling: Utilize AI to predict traffic patterns and auto-scale resources accordingly.
• ChatOps Integration: Deploy AI-driven chatbots for operational tasks and alerts.

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### 🎁 Takeaways:

• Access to the complete codebase for both implementations.
• Step-by-step guides and documentation.
• Certificate of participation.
• Networking opportunities with industry professionals.

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### 👥 Who Should Attend:

• Developers aiming to enhance their DevOps skills.
• Cloud engineers interested in AI integrations.
• Tech enthusiasts eager to explore the future of cloud automation.

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### 📅 Event Details:

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## 🧠 Agenda:

### 1. Coding Challenge: Automating Infrastructure with Terraform (35 mins)

• Objective: Write a Terraform script to provision a scalable web application infrastructure on AWS.
• Key Concepts: Infrastructure as Code (IaC), modularization, state management.
• Discussion Points:
• Managing environment-specific configurations.
• Implementing reusable modules for scalability.
• Handling state files securely and efficiently.

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### 2. Face-to-Face Interview Simulation: Debugging a CI/CD Pipeline Failure (25 mins)

• Scenario: You're presented with a failing CI/CD pipeline in Azure DevOps that halts during the deployment phase.
• Tasks:
• Identify and resolve the root cause of the failure.
• Discuss strategies to prevent similar issues in the future.
• Key Concepts: Continuous Integration/Continuous Deployment (CI/CD), pipeline as code, deployment strategies.

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### 3. System Design Session: Architecting a Multi-Region Web Application (25 mins)

• Objective: Design a highly available and fault-tolerant web application architecture across multiple AWS regions.
• Discussion Points:
• Implementing load balancing and auto-scaling.
• Ensuring data replication and consistency across regions.
• Handling failover and disaster recovery scenarios.

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### 4. Real-World Product Issue: Managing Cost Optimization in Cloud Environments (25 mins)

• Scenario: Your organization's cloud expenses have significantly increased over the past quarter.
• Tasks:
• Analyze cost reports to identify areas of overspending.
• Implement strategies to optimize resource usage and reduce costs.
• Key Concepts: Cost monitoring tools, rightsizing resources, implementing budgets and alerts.

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### 5. Q&A and Interactive Discussion (30 mins)

• Open floor for attendees to ask questions, share experiences, and discuss challenges faced during interviews or in real-world cloud projects.

***

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