SaaS Vtiger CRM Integration

From Startup to ScaleUp: Scaling a RoR-Based MarTech Platform to 1M+ Users

Industry Marketing Technology (MarTech)

  • Client Revenues

    $10B+ Client Revenues

  • Successful Years

    12+ Successful Years

  • IT Ninjas

    1000+ IT Ninjas

  • Successful Projects

    5000+ Projects

Client's Testimonial

Developers.dev didn't just fix our performance issues; they gave us a scalable foundation for the next five years of our growth. Their RoR architects are some of the best I've ever worked with. The project was a massive success, and our platform is now faster and more stable than ever.

Sarah Chen, CTO, ScaleUp Solutions Inc.

Sarah Chen, CTO, ScaleUp Solutions Inc.

Client Introduction

Our client is a US-based, venture-backed MarTech company providing an AI-powered analytics platform for digital marketers. When they approached us, they had achieved product-market fit and were experiencing explosive user growth. Their initial Ruby on Rails application, built for speed, was struggling to handle the load, leading to performance issues and concerns about future scalability. They needed a technology partner who could not only stabilize their current platform but also re-architect it for long-term, sustainable growth without disrupting their existing customer base. Their goal was to scale from 100,000 to over 1 million active users within 18 months.

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SaaS platform problem and challenges

Problem

The client's RoR application suffered from severe performance bottlenecks, frequent downtime during peak loads, and a monolithic architecture that made deploying new features slow and risky. Their technical debt was increasing, and their small in-house team was overwhelmed with firefighting, unable to focus on innovation.

Key Challenges

Speed to Market challenges

Performance Bottlenecks

Slow database queries and inefficient background job processing caused page load times to exceed 10 seconds.

AI Complexity challenge

Scalability Limits

The monolithic architecture couldn't scale horizontally to meet user demand.

Scalability challenges

Slow Development Cycles

A lack of automated testing and a complex codebase meant new feature releases took months.

User Engagement challenges

Zero-Downtime Requirement

The re-architecture had to be performed on a live system with thousands of active customers.

Our Solution for LearnSphere AI

Our Solution

We deployed a dedicated "Ruby on Rails SaaS Scale Pod" consisting of two senior RoR developers, a database specialist, a DevOps engineer, and a QA automation expert. Our solution was a phased approach focused on stabilization, optimization, and modernization.

🔍 Performance Audit & Optimization

We used performance monitoring tools to identify and refactor the top 10 slowest database queries and optimized background job processing with a fine-tuned Sidekiq implementation.

🔄 Database Replication

We implemented a read-replica for the PostgreSQL database to offload reporting queries and reduce the load on the primary database.

☁️ Infrastructure Migration to AWS

We containerized the application using Docker and migrated the deployment from Heroku to a scalable AWS infrastructure using ECS and RDS, managed via Terraform.

⚙️ CI/CD Pipeline Implementation

We built a robust CI/CD pipeline with GitHub Actions, enforcing TDD with RSpec and automating the entire testing and deployment process.

Implementation and Execution

Agile Methodology

Agile Methodology

The project was executed using an Agile Scrum framework with two-week sprints, allowing for continuous feedback and adaptation.

DevOps Pipeline

DevOps Pipeline

We established a full CI/CD pipeline using Salesforce DX, ensuring automated testing and reliable deployments.

User-Centric Design

User-Centric Design

Our UI/UX expert designed custom LWC components that simplified the quoting interface, making it intuitive for the sales team.

Global Rollout

Global Rollout

The solution was rolled out in phases, starting with the North American team, followed by EMEA and APAC.

Comprehensive Training

Comprehensive Training

We developed a full training program and documentation to ensure high user adoption from day one.

Post-Launch Support

Post-Launch Support

We provided two months of hyper-care support post-launch to address any issues and ensure a smooth transition.

Positive Outcome

⚡ 90% Reduction in Page Load Time

Average page load times dropped from over 8 seconds to under 800 milliseconds.

📈 10x Scalability

The new AWS infrastructure could handle 10 times the user traffic with auto-scaling, easily supporting their growth to 1 million users.

🚀 75% Faster Deployments

The automated CI/CD pipeline reduced the time to deploy new features from weeks to just a few hours.

✅ Zero Downtime

The entire migration and re-architecture were completed with zero customer-facing downtime.

Positive Outcome LearnSphere AI

Why Choose Us

💻 Deep RoR Expertise

Our architects understood the nuances of scaling Rails applications.

☁️ Cloud & DevOps Mastery

We provided end-to-end expertise from code to cloud.

📊 CMMI 5 Process

Our mature processes ensured a predictable, well-managed project.

🤝 POD Model

The client got a dedicated, cross-functional team for one price.

🗣️ Transparent Communication

The client had full visibility at every stage.

🎯 Focus on Business Outcomes

We tied every technical decision to the client's goal of user growth.

🛡️ Risk Mitigation

Our phased approach minimized the risk of a "big bang" failure.

⭐ Vetted, In-House Talent

The team was stable and committed throughout the project.

♾️ Long-Term Partnership

We continue to work with the client on new feature development.

Conclusion

By partnering with Developers.dev, the client transformed their technology from a liability into a strategic asset. They successfully scaled their platform, accelerated their product roadmap, and secured their position as a leader in the MarTech industry.