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
Solution
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
