How Coca-Cola Scaled Its Mobile and Web Experience for 2M+ Peak Users

Six TechnBrains specialists worked alongside Coca-Cola’s internal teams to improve performance, accessibility, and release quality, achieving 99.98% uptime with zero critical launch bugs.

Project Highlights & Key Metrics

Industry
Consumer Goods / Beverage
Platform
Web + Mobile
Region
Global
Timeline
12+ Months
Engagement Model
Staff Augmentation
Team Size
6 Specialists
Team Composition
  • 1 UI/UX Designer
  • 2 Software Engineers
  • 1 Solution Architect
  • 1 QA Engineer
  • 1 DevOps Engineer
Tech Stack
  • React Native
  • Node.js
  • PostgreSQL
  • AWS
Integrations
  • Mobile Experience
  • Performance Engineering
  • Infrastructure Architecture
  • Quality Assurance
  • DevOps
  • Accessibility Compliance
About Coca-Cola

Scaling a Global Consumer Experience for Campaign Peaks

Coca-Cola operates mobile and web experiences for a global consumer brand across multiple markets and campaign cycles.

As campaign programs grew, traffic concentration, release exposure, and accessibility expectations placed increasing demands on the digital experience.

  • Multi-market mobile and web experience across campaign cycles

  • High-concentration traffic events during public campaign launches

  • Accessibility requirements across devices and assistive technologies

  • Internal product, engineering, and release ownership already established

Client review image
TechnBrains embedded specialists across our design, engineering, QA, architecture, and DevOps teams. Work that would otherwise have waited on internal bandwidth moved in parallel, and we went into a 2M-user launch with zero critical bugs.
Digital Transformation Lead
Coca-Cola
★★★★★
Problem
The Prolem

Campaign Peaks Exposed Bottlenecks Daily Traffic Never Showed

Coca-Cola's highest-traffic user journeys carried more interactions than a campaign peak could comfortably absorb. As campaign volume rose, performance, infrastructure scaling, and pre-release testing each required increasing manual attention.

Key Challenges
  • 01

    Multi-step paths through the highest-traffic user journeys

  • 02

    Performance bottlenecks that appeared primarily at campaign peak

  • 03

    Manual oversight required for infrastructure scaling

  • 04

    Heavy regression testing before every public release

  • 05

    Inconsistent accessibility implementation across devices

These pressures converged on a single release, at the point where public exposure was highest.

Solution
Our Solution

Five Changes Prepared the Platform for 2M+ Peak Users

Each area was measured against campaign peak instead of daily traffic, with TechnBrains specialists embedded in Coca-Cola's teams.

Simplified User Journeys

Shorter paths through top journeys, prototyped and tested before build.

150+ concepts tested; journeys ~45% faster.

Peak-Load Performance Engineering

Response times and bottleneck fixes validated at campaign volume, not daily volume.

Supported 2M+ peak users, 1.2-second median loads.

AWS Scaling & Monitoring

Scaling behavior, deployment readiness, and production monitoring tuned for traffic surges.

Production availability reached 99.98%.

Structured Release Validation

Broader device coverage and regression testing across the highest-traffic paths.

Zero critical bugs at launch.

Accessibility Implementation

Accessibility was addressed across design, engineering, and QA rather than treated as a final-stage review.

The experience reached WCAG 2.1 AA implementation.
Engineering Approach

Why peak conditions changed the engineering work

Coca-Cola's application performed acceptably at daily volume. Campaign peaks compressed a large share of users into the same journeys within the hour, and the bottlenecks that mattered surfaced only under that load.

Node.js services and PostgreSQL queries on the busiest paths were profiled under peak conditions, AWS scaling was tuned to respond while demand climbed, and QA regression and accessibility checks were pointed at the same journeys. The release was validated against peak before it shipped.

Impact
The Impact

How the release behaved at campaign peak

The application now holds 2M+ peak users at 99.98% availability, with key journeys ~45% faster and launches carrying zero critical bugs.

What changed, before and after the engagement
Before After
Multi-step key journeys ~45% faster journeys
Bottlenecks at campaign peak 2M+ peak users supported
Manual scaling oversight 99.98% production uptime
Heavy pre-launch testing 0 critical launch bugs
Inconsistent accessibility WCAG 2.1 AA implementation
Our Engagement

Why Coca-Cola Partnered With TechnBrains

Coca-Cola engaged TechnBrains as embedded specialists across design, engineering, architecture, QA, and DevOps. Six specialists joined internal teams for twelve months and worked inside existing delivery processes. Direction, architecture decisions, and the release stayed with Coca-Cola throughout, with accessibility requirements applied across every discipline.

Business Outcomes
  • 2M+ peak users supported
  • 99.98% platform uptime
  • ~45% faster key journeys
  • 0 critical launch bugs
TechnBrains Founder image
Average traffic was not the useful benchmark here. What mattered was a campaign pushing a large number of users through the same journeys at once. That changed how we approached performance, QA, infrastructure, and release readiness.
Founder & Technology Delivery Lead TechnBrains

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