Modernizing Pimcore with Azure Container Apps and CI/CD Optimization

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. 

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.

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.

• 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.

• 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.