Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Enhancement of Cybersecurity SaaS Platform for Scalability and Performance Optimization
  1. case
  2. Enhancement of Cybersecurity SaaS Platform for Scalability and Performance Optimization

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Enhancement of Cybersecurity SaaS Platform for Scalability and Performance Optimization

apriorit.com
Security
Information technology

Challenges in Scalability and Infrastructure Efficiency

The platform faced significant scalability limitations with 30,000 active users, relying on outdated Windows Server 2008 R2 infrastructure with manual deployment processes. Rapid user growth projections (expected to exceed 100,000 active users) created urgent needs for automated CI/CD pipelines, cost-effective horizontal scaling, and modernized architecture while maintaining uninterrupted service.

About the Client

US-based SaaS vendor providing cloud-based data collection, analysis, and visualization tools for device monitoring

Strategic Modernization Goals

  • Establish automated CI/CD pipelines for continuous delivery
  • Migrate from legacy Windows infrastructure to scalable AWS-based Linux architecture
  • Reduce infrastructure costs by 300% while supporting 300%+ user growth
  • Implement unified data storage solutions for structured/unstructured data
  • Ensure zero-downtime deployments during active platform development

Core System Capabilities

  • Agent-based data collection from Android/desktop devices
  • Real-time web dashboards for geolocation and activity tracking
  • Dynamic horizontal scaling via AWS ECS clusters
  • Unified data processing pipeline with RabbitMQ task queues
  • Secure configuration management across distributed services

Technology Stack Requirements

AWS cloud infrastructure
CentOS Linux servers
Python/Django backend framework
DynamoDB for unstructured data storage
MySQL RDS for structured data
Docker containerization
CI/CD tools (Bamboo/Jenkins)

System Integration Needs

  • Mobile device agent communication protocols
  • Custom C++ data exchange library (Windows-to-Linux migrated)
  • Third-party monitoring tools (Jira, Bitbucket)
  • RabbitMQ message broker integration

Operational Requirements

  • Support 1M+ daily API requests
  • 99.99% system availability
  • Horizontal scaling to 100,000+ concurrent users
  • End-to-end data encryption
  • Automated server provisioning and configuration

Expected Business Outcomes

Projected 300%+ reduction in infrastructure costs through Linux migration and server consolidation, with ability to scale from 6 to 28 servers dynamically. Enables weekly feature deployments with zero-downtime, improved data processing performance through DynamoDB unification, and enhanced security compliance through modernized architecture.

More from this Company

Advanced Multimedia Redirection and Cross-Platform Connector Development for Virtualization Platform
Cross-Platform Data Backup and Recovery Solution Development
AWS-Based Blockchain Infrastructure Development for Smart Contracts
Data Center Infrastructure Performance Optimization with SQL Query Enhancement
Android OS Virtualization for Secure BYOD Environments