Tech Talent

Ecommerce DevOps Overhaul

humaniseAI’s Talent team embedded five DevOps engineers into a major home improvement retailer’s operations, stabilising its site ahead of peak season.

humaniseAI’s Talent team embedded five DevOps engineers into a major home improvement retailer’s operations, stabilising its site ahead of peak season.

Summary

Industry

Retail

Use Case

DevOps & Infrastructure Augmentation

Platform

Cloud Infrastructure (Azure)

Technology Stack

Terraform, Docker, Kubernetes, Cloudflare

Client

NDA

About the client

humaniseAI’s Talent team partnered with one of Australia and New Zealand’s largest home improvement retailers, supplying more than 120,000 products through 200-plus warehouses and 60-plus trade stores. The client’s internal IT team was understaffed for the scale of its e-commerce operation and needed dedicated DevOps capacity to keep the site stable through its busiest seasons.

The challenge

Scale had outgrown the team’s capacity to manage it manually.

  • The internal IT team was understaffed for the platform’s size and complexity

  • Deployments, updates, and removals were still largely manual processes

  • There was no environment to load-test the site before peak season

  • Infrastructure changes carried real risk of downtime during busy periods

  • The client needed five dedicated DevOps engineers, not a generalist team

What we did

humaniseAI’s Talent team embedded directly into the client’s existing infrastructure.

  • Embedded five DevOps engineers directly into the client’s operations

  • Defined infrastructure as code with Terraform for consistent environments

  • Containerised the application with Docker to simplify deployment

  • Built CI/CD pipelines to automate builds, tests, and releases

  • Stood up a Kubernetes-based UAT environment to load-test before peak season

Results

  1. Faster, Smoother Site: Load times and responsiveness improved for every shopper

  2. Fewer Manual Tasks: Automated deployments freed the internal team for strategic work

  3. Peak-Season Stability: Load testing caught bottlenecks before they reached customers

  4. Lower Operational Cost: Automation cut the cost of routine maintenance

  5. Faster Time to Market: New features and updates shipped faster than before

Takeaway

humaniseAI’s Talent team gave the retailer’s internal IT team the DevOps capacity to handle peak season without it becoming a fire drill.

humaniseAI

An AI-native professional services firm working at the intersection of business, technology, and humanity.

An AI-native professional services firm working at the intersection of business, technology, and humanity.

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