...

Tally Dashboard Modernization Without Disrupting High Traffic Operations

+30%
Performance
−29%
Infra Cost
0
Downtime

Get this case study in PDF to your inbox.

Done. PDF is on its way!
6 to 8
Dedicated Engineers
Dedicated Team
Engagement Model
Main Technologies
Laravel Yii Jenkins PHP
PropTech
Industry

The summary.

A mid to large scale real estate brokerage network was running frontend and admin systems on outdated Laravel versions. CPU utilization surged during peak usage, slowing response times and increasing operational risk across multiple portals serving agents, administrators, and super administrators.

A dedicated product team of 6 to 8 engineers took ownership of stabilizing and modernizing the platform. Legacy Laravel systems were upgraded, CPU stabilization strategies were implemented, and CI/CD pipelines were established via Jenkins.

The result: 30 percent performance improvement, approximately 29 percent reduction in infrastructure cost, and near zero downtime during peak traffic. The platform was no longer operating at its limits. It was ready to scale.

client

Steve

Real estate technology and property management platform supporting a mid to large scale brokerage network.

warning
The Challenge

Legacy frameworks, CPU saturation, security exposure, and rising operational risk across multiple live portals.

setting
The Solution

Dedicated 6 to 8 person team modernized frameworks, stabilized CPU, and automated deployments via Jenkins CI/CD.

result
The Result

30% faster performance, 29% lower infrastructure cost, near zero downtime. Ready to scale.

The challenge.

The client operates in the real estate technology and property management space, supporting a mid to large scale brokerage network. Multiple websites and admin portals serve agents, administrators, and super administrators across the organization. Reliability is not optional. It supports daily transactions, listings, reporting, and operational decision making.

Several systems were still running on older Laravel versions. Performance under peak traffic became unstable due to CPU saturation. Database queries were inefficient and resource heavy. The system worked, but it was reaching its threshold.

  • Security vulnerabilities increased as frameworks aged
  • Performance under peak traffic became unstable due to CPU saturation
  • Database queries were inefficient and resource heavy
  • Scalability pressure increased as more companies were onboarded
  • Core service layers built on Laravel and Yii were reaching their limits

All frontend websites had to remain operational throughout the process. There was no maintenance window large enough for risky rewrites. Upgrades, performance tuning, and security improvements had to be executed under strict timelines without business disruption. External expertise was required to rapidly analyse large codebases and identify upgrade paths using AI assisted code review techniques.

Goal
Success Was Clearly Defined
  • Upgrade legacy Laravel systems across multiple portals
  • Reduce CPU saturation and stabilize peak load performance
  • Optimize database queries to lower infrastructure cost
  • Strengthen security posture through framework modernization
  • Maintain uninterrupted platform availability

The solution.

"Stabilization before expansion."

Instead of introducing new features, the team prioritized structural integrity. Every change passed a single question: Does this improve stability under peak traffic? Execution followed a Kanban model managed through Monday.com, allowing continuous prioritization and transparent delivery.

The differentiator was controlled modernization under live traffic. Upgrades were not performed in isolation. They were validated under peak usage scenarios. Performance improvements were measured before and after each change. Security improvements were embedded within framework upgrades, not treated as separate patches.

Laravel
Yii Framework
Jenkins CI/CD
PHP
MySQL
RESTful APIs
Execution in Practice
1
Review
Legacy codebases reviewed and refactored systematically
2
Stabilize
CPU utilization bottlenecks identified and stabilized
3
Optimize
Database performance tuned to eliminate inefficient queries
4
Automate
Releases automated to reduce deployment risk and human error
5
Monitor
REST APIs optimized and continuous monitoring established

The outcome.

The dedicated team executed upgrades incrementally, validated each release, and ensured stability improved rather than regressed. The results were measurable across every layer of the platform.

  • System stability improved noticeably during traffic spikes
  • Admin dashboards became
  • Operational risk reduced significantly through framework modernization
  • Security posture strengthened across all supported websites
  • The platform transitioned from reactive scaling to controlled growth
30%
Performance Improvement
~29%
Infrastructure Cost Reduction
~0
Downtime During Peak Traffic
The Defining Moment

A key milestone came during a peak traffic window when CPU usage remained stable and response times stayed consistent across all portals. Previously, these periods introduced stress and uncertainty. After modernization, performance remained steady. That validated the architectural improvements.

TECHNICAL HIGHLIGHTS

CI/CD Pipelines via Jenkins

CI/CD Pipelines via Jenkins

CPU and Database Monitoring

CPU and Database Monitoring

Laravel and Yii Modernization

Laravel and Yii Modernization

Scalable SaaS Cloud Architecture

Scalable SaaS Cloud Architecture

Hardened Role Based Access Controls

Hardened Role Based Access Controls

Get this case study in PDF to your inbox.
Done. PDF is on its way!

Facing similar challenges?

See how we can help.

Seraphinite AcceleratorOptimized by Seraphinite Accelerator
Turns on site high speed to be attractive for people and search engines.