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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 2023Concept

Automation Analysis

Mapped out manual bottlenecks in the current cloud deployment workflow.

Mid 2023Prototyping

SDK Integration

Built POV scripts to verify Azure SDK capabilities for automation.

Late 2023MVP Build

Platform Development

Developed the Next.js Frontend and Python Orchestrator engine.

2024Refinement

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