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Case Study 01

RapidCloudify

An automated cloud deployment platform that eliminates the complexity of deploying software from on-premise to Azure Cloud. Designed for small to mid-scale organizations, it transforms a 4-day manual deployment process into a 10-20 minute automated workflow with zero code and zero configuration required.

Measurable Impact

0 Days
Time Saved Per Deployment
0 Min
Deployment Speed
Zero
Setup Complexity

System Architecture

User Dashboard
Flask API
Azure SDK
Ansible Engine
Azure VMs
Blob Storage
Monitoring
System Healthy
1.2M req/s
Interactive Model • Click to Inspect

A scalable, microservices-inspired architecture designed for high availability and real-time interaction. Utilizing primary-replica replication for read scalability and Redis for high-velocity caching.

Resilient Data Layer

Utilizing primary-replica replication for the database ensures read scalability, while Redis handles high-velocity caching for session states.

Async Processing

Heavy compute tasks (like image processing or analytics) are offloaded to Worker Nodes via a message queue, keeping the API responsive.

The Journey

From initial concept to final deployment, every step was calculated.

Early 2023 • Concept

Automation Analysis

Mapped out manual bottlenecks in the current cloud deployment workflow.

Mid 2023 • Prototyping

SDK Integration

Built POV scripts to verify Azure SDK capabilities for automation.

Late 2023 • MVP Build

Platform Development

Developed the Next.js Frontend and Python Orchestrator engine.

2024 • Refinement

Ansible Layer

Integrated Ansible for deep configuration management beyond infrastructure.

Core Implementation

Explore the actual source code powering the solution.

INFO:Backend service handling dynamic resource group creation using Azure SDK.
master*azure_service.py
Ln 1, Col 1UTF-8PYTHON

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Balarama Satvik - Full Stack Developer & AI Engineer