Retail & E-commerce

Global E-commerce Platform Boosts Holiday Conversion Rates by 22% After Performance Engineering Overhaul

Industry Retail & E-commerce

  • Client Revenues

    $10B+ Client Revenues

  • Successful Years

    12+ Successful Years

  • IT Ninjas

    1000+ IT Ninjas

  • Successful Projects

    5000+ Projects

Client's Testimonial

"The team at Developers.dev saved our holiday season. Their performance engineering POD didn't just find the problems; they helped our team fix them. The platform was faster than it had ever been, and we had our most successful Black Friday ever with zero downtime. Their expertise was worth every penny."

Dr. Sarah Jenkins, Founder & CEO, PocketRx

Jessica Lee, COO

Client Overview

A leading e-commerce platform in Australia with over 5 million monthly users. Their website performance was degrading as their product catalog and user base grew. They experienced several partial outages during the previous year's holiday shopping season, leading to significant revenue loss and brand damage. They needed to ensure their platform was resilient, fast, and could handle a projected 200% spike in Black Friday traffic.

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Problem and challenges

Problem

The client's monolithic application architecture had numerous hidden performance bottlenecks. Page load times were exceeding 5 seconds during moderate traffic, and the checkout process was failing under simulated heavy loads. Their internal team lacked the specialized expertise in performance testing and engineering to diagnose and resolve the root causes.

Key Challenges

key challenge

Multi-Tenant Architecture:

Identify and resolve critical performance bottlenecks across the application stack.

key challenge

Admin Dashboard:

Ensure the platform could handle at least 10,000 concurrent users without degradation.

key challenge

Reliable Music Player:

Reduce the average page load time to under 2 seconds.

key challenge

API Integrations:

Provide the development team with actionable recommendations for code and infrastructure optimization.

Our Solution

Our Solution

We assembled a Performance-Engineering Pod, including a Performance Architect, two Performance Testers, and a DevOps consultant.

🏢 Baseline Analysis:

We used JMeter to establish a baseline of the current application's performance, confirming the reported issues and identifying the most problematic user journeys.

📊 Comprehensive Load Testing:

We designed and executed a series of load, stress, and soak tests, simulating various traffic patterns, including a massive Black Friday spike.

🎧 Bottleneck Identification:

Using profiling tools and observability platforms like Datadog, we pinpointed the root causes: inefficient database queries, unoptimized front-end code, and misconfigured caching layers.

🔗 Actionable Remediation Plan:

We delivered a detailed report with prioritized, code-level recommendations and worked side-by-side with their developers to implement the fixes.

Implementation and Execution

Implementation and Execution

Phase 1 (2 Weeks):

Discovery and baseline testing. Setup of the test environment and initial load test execution.

Implementation and Execution

Phase 2 (3 Weeks):

Deep-dive testing and analysis. Executed multiple test scenarios, analyzed results, and identified the top 5 performance bottlenecks.

Implementation and Execution

Phase 3 (2 Weeks):

Collaboration and Remediation. Our team paired with their developers to refactor slow database queries and implement server-side caching.

Implementation and Execution

Phase 4 (1 Week):

Re-validation. We re-ran the load tests to validate the fixes, confirming that the performance targets had been met or exceeded.

Implementation and Execution

Monitoring Setup:

Our DevOps consultant helped them configure improved monitoring and alerting in their production environment to proactively catch future issues.

Implementation and Execution

Final Report:

Delivered a comprehensive report detailing the entire process, the fixes implemented, and best practice recommendations for future development.

Positive Outcome

⏱️ Zero Downtime:

The platform handled the Black Friday peak traffic flawlessly with zero downtime or performance degradation.

💰 22% Increase in Conversion Rate:

The dramatically improved page speed and checkout stability led to a measurable lift in sales.

🛡️ 65% Reduction in Page Load Time:

Average page load time dropped from over 5 seconds to 1.8 seconds.

🚀 Empowered In-house Team:

Their developers gained valuable knowledge in performance engineering best practices.

Positive Outcome

Why Choose Us

🏢 Specialized Expertise:

A dedicated pod of performance engineering experts.

🏷️ End-to-End Service:

We didn't just test; we helped them fix the issues.

⚙️ Advanced Tooling:

Expertise in JMeter, Datadog, and application profilers.

💻 Collaborative Model:

We worked as a single, integrated team with their staff.

🤝 Business Outcome Focus:

We tied our technical work directly to revenue goals.

💪 Clear Communication:

Regular reports and meetings kept all stakeholders informed.

🔗 Risk Reduction:

We prevented a repeat of the previous year's costly outages.

🎯 Proven Methodology:

A structured approach from discovery to validation.

✨ Long-Term Value:

We equipped their team with the skills and tools to maintain performance.

Conclusion

Through a targeted performance engineering engagement, we transformed the client's e-commerce platform from a liability into a high-performing asset. This proactive investment in quality assurance not only protected their brand reputation but also delivered a significant and measurable return through increased holiday sales and customer satisfaction.