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.

Development of Advanced SEO Optimization Platform with Scalable SaaS Architecture

ulam.io

Advertising & marketing

Challenges in SEO Optimization and Infrastructure Efficiency

Existing SEO tools suffered from high infrastructure costs, inefficient deployment processes, and limited scalability. The need for real-time performance monitoring and user-friendly data visualization hindered rapid customer acquisition and global service delivery.

About the Client

US-based SaaS company specializing in SEO optimization through proprietary algorithms

Key Goals for Platform Transformation

Reduce infrastructure costs by 66% through optimized resource allocation
Transition to SaaS model for seamless customer onboarding
Enhance global service delivery capabilities
Implement real-time SEO performance analytics with actionable insights

Core Platform Capabilities

Proprietary algorithm for dynamic SEO optimization
Pre/post-optimization performance comparison dashboard
Automated deployment pipeline with Kubernetes orchestration
User-friendly interface for SEO data visualization
Multi-tenant SaaS architecture for client isolation

Technology Stack Requirements

Kubernetes

Ansible

Google Container Engine

Python

System Integration Needs

SEO analytics APIs
Cloud cost monitoring tools
CI/CD pipelines

Operational Requirements

Horizontal scalability for 10x user growth
99.9% system uptime SLA
Automated performance testing framework
Role-based access control (RBAC) security model

Expected Business Outcomes

Projected 66% reduction in infrastructure costs through optimized container orchestration, 40% faster customer onboarding via SaaS model transition, and 25% improvement in SEO performance metrics visualization accuracy. Enhanced platform reliability will support global expansion while maintaining regulatory compliance across multiple jurisdictions.