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Modernizing Pimcore with Azure Container Apps and CI/CD Optimization

Transforming a monolithic VM-based Pimcore application into a highly available, containerized PaaS architecture to enhance scalability and deployment reliability.

Client

A prominent, privately owned American grocery chain recognized for its affordable private-label products and unique customer experience.

Problem Statement

The client’s Pimcore application and supporting services ran on a single Azure Virtual Machine, lacking the redundancy and scalability needed to prevent downtime and performance bottlenecks.

Industry

Retail

Solution

Modernization

Digital Experience

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Quick Summary

We migrated a monolithic Pimcore setup to Azure Container Apps, introducing a fault-tolerant, horizontally scalable architecture.

  • Decoupled critical services by moving Redis to Azure Cache for Redis and re-architecting RabbitMQ for high availability using Azure Availability Sets.
  • Redesigned the CI/CD landscape with GitHub Actions and Terraform, enabling automated, repeatable deployments and reducing manual operational overhead.

Client Profile

This US-based retail leader operates an extensive chain of grocery stores. Known for its curated selection of high-quality private-label goods, the brand relies on robust Product Information Management (PIM) to maintain its unique, customer-centric in-store and digital experience. 

Challenges: Single Point of Failure and Manual Bottlenecks

The legacy infrastructure posed significant risks to the client’s digital operations:

  • Architecture Limitations: Running Pimcore, RabbitMQ, and Redis on a single VM created a critical single point of failure.
  • Scaling Barriers: The lack of auto-scaling meant the system struggled to handle peak loads, impacting performance.
  • Deployment Friction: Existing CI/CD pipelines were not optimized for containerized workloads, and artifact storage was fragmented across different cloud providers.
  • High Maintenance: The DevOps team was burdened with VM-level management, limiting their ability to focus on strategic product improvements.

QBurst Solution: Containerized PaaS and DevOps Re-engineering

We engineered a modern, Azure-native solution that shifted the application hosting from traditional VMs to a serverless container model. By leveraging Infrastructure as Code (IaC) with Terraform, we ensured that the new environment was consistent and repeatable across all stages.

The migration involved a comprehensive re-architecture:

  • Containerization: Migrated the core Pimcore application to Azure Container Apps (a PaaS Kubernetes service), providing built-in scaling and resiliency.
  • Traffic Orchestration: Placed the application behind an Azure Application Gateway with custom domain configurations for secure SSL termination and optimized routing.
  • Service Decoupling: Migrated Redis to a managed Azure Cache for Redis and restructured RabbitMQ to run on redundant VMs fronted by an Azure Load Balancer.
  • Pipeline Optimization: Completely restructured GitHub Actions workflows to push images to Azure Container Registry (ACR), replacing the legacy Google Container Registry (GCR) setup.

Technical Highlights

  • Azure-Native PaaS Architecture: Eliminated the need for manual Kubernetes cluster management by utilizing serverless container apps.
  • Reliability Engineering: Re-architected RabbitMQ with Azure Availability Sets to ensure fault tolerance and even traffic distribution.
  • Terraform-Driven IaC: Developed modular Terraform scripts to provision all Azure resources, ensuring rapid environment spin-up and zero configuration drift.
  • Automated Multi-Environment CI/CD: Restructured GitHub Actions to support environment-specific configurations and automated release cycles.
  • Secure Networking: Integrated Application Gateway with Web Application Firewall (WAF) capabilities to protect the PIM infrastructure.

Impact

  • Enhanced Scalability: The transition to Azure Container Apps allows the platform to scale horizontally in response to real-time traffic demands.
  • Reduced Operational Costs: Shifting to managed PaaS services minimized VM-level maintenance, lowering total cost of ownership.
  • Faster Deployment Cycles: Fully automated pipelines have streamlined the release process, resulting in faster and more reliable software updates.
  • 99.9% Reliability Improvement: Decoupling services and adding redundancy eliminated single points of failure and minimized downtime risks during peak retail cycles.

Client Profile

Challenges

QBurst Solution

Technical Highlights

Impact

Recognized for Growth. Trusted for Impact.

Deloitte Technology Fast 50 India, Winner 2024

Deloitte Fast 50 India, Winner 2024

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Market Glance: Loyalty in Retail, 2Q26, DEOT 4Q25

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