Android Development

Use Auto Scaling → handle traffic Use Load Balancer → distribute load Use Caching → reduce cost Use Queue → async processing Use Circuit Breaker → fault tolerance Use API Gateway → control traffic

⚙️ WSL2 Offline Setup (Internet Machine → Intranet Machine) This guide explains how to install WSL2 on an internet-enabled system and transfer it to an intranet (offline) system. 💻 STEP 1: On Internet Machine Install WSL wsl --install Update WSL (Optional) wsl --update Check Version wsl --version Check Status wsl --status List Installed Distros wsl --list --verbose Shutdown WSL (Important) wsl --shutdown Export Ubuntu wsl --export Ubuntu ubuntu.tar 📦 STEP 2: Copy Files ubuntu.tar wsl_update_x64.msi 💻 STEP 3: On Intranet Machine Enable Features dism /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart dism /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart Restart your system Install Kernel wsl_update_x64.msi Set WSL2 wsl --set-default-version 2 Import Ubuntu wsl --import Ubuntu C:\WSL\Ubuntu C:\path\ubuntu.tar Run Ubuntu wsl -d Ubuntu ⚠️ Correction wsl install ❌ ...

You can’t just copy Docker like a normal software file and run it offline — Docker depends on multiple packages, services, and (sometimes) OS-level features. But yes, you can set it up in an intranet (offline) environment using a pendrive if you prepare it properly. Here’s the practical, interview-ready + real setup approach 👇 --- ✅ Method: Download Docker → Transfer → Install Offline 🔹 Step 1: Identify Target System First decide: OS: Ubuntu / RHEL / Windows Architecture: x86_64 (most common) Because offline packages depend on this. --- 🔹 Step 2: Download Docker (Internet Machine) 👉 For Ubuntu (Most common for AI agents) Go to: Docker Engine official docs Download these .deb packages: Required files: containerd.io docker-ce docker-ce-cli docker-buildx-plugin docker-compose-plugin 👉 From: https://download.docker.com/linux/ubuntu/dists/ Navigate: pool/stable/amd64/ 📦 Download all required .deb files --- 🔹 Step 3: Copy to Pendrive Create folder: docker-offline/ Copy all .deb files ...

User (Intranet)       ↓ AI Agent (Local LLM - Qwen/LLaMA)       ↓ Intent Detection + Query Understanding       ↓ Common Database (SQLite / DuckDB)       ↓ Power BI (Connected to same DB)       ↓ Dashboard       ↓ Embedded in AI Agent UI AI Agent + Power BI Integration (Intranet Setup) 🔷 Overview This system connects an AI Agent (Python + Docker + DuckDB + Parquet + SQLite) with a dashboard created in Power BI. 👉 Core Idea: AI Agent processes & stores data Power BI reads same data Dashboard is embedded back into AI Agent UI 🔷 Architecture User Query ↓ AI Agent (Local Model – Qwen/LLaMA) ↓ Intent Detection + Data Processing ↓ Common Database (DuckDB / Parquet / SQLite) ↓ Power BI (Connected to same data) ↓ Dashboard ↓ Embedded in AI Agent UI 🔷 Technologies Used AI Model: / Backend: Python Storage: DuckDB, SQLite, Parquet Visualization: Embedding: API (optiona...