About the Client

InspireHub is a growing organization seeking to modernize its business operations through the deployment of Odoo 17 ERP. As part of its digital transformation strategy, InspireHub initiated a cloud-first initiative to host its ERP platform on AWS using a scalable, resilient, and cost-optimized architecture.

The goal was not only to migrate workloads, but to build a cloud-native operational model emphasizing automation, high availability, and performance stability.

Problem Statement / Definition

InspireHub required a production-ready ERP platform capable of supporting business growth while maintaining operational reliability and security.

Traditional hosting approaches presented limitations in scalability, resilience, and deployment agility. The organization needed:

• A highly available ERP environment
  • Persistent shared storage for Odoo workloads
  • Secure and isolated network design
  • Automated infrastructure provisioning
  • CI/CD-driven deployments
  • Cost-efficient cloud architecture

Challenges Faced

• High Availability Requirements
  ERP systems are mission-critical. Downtime directly impacts operations.
• Stateful Application Architecture
  Odoo requires persistent storage for sessions, attachments, and filestore data.
• Environment Separation Needs
  Production and staging environments required isolation without unnecessary cost duplication.
• Deployment & Release Management
  Manual deployments introduced operational risks and inconsistencies.
• Security & Governance Controls
  Sensitive business data required strong access controls and monitoring.
• Cost Optimization Constraints
  The architecture had to balance performance with budget efficiency.

Proposed Solution & Architecture

VArrow Technologies designed a cloud-native Odoo architecture on AWS, leveraging managed services and Infrastructure as Code.

According to the architecture diagram (InspireHub Odoo on AWS)

inspirehub-odoo-aws-diagram-202…

:

• Multi-AZ High Availability Design
• Resources distributed across two Availability Zones (eu-west-1)
  • Fault-tolerant application layer
  • Resilient networking foundation
• Structured VPC & Network Segmentation

As defined in the VPC design (Odoo VPC Design)

inspirehub-odoo-vpc-design-2025…

:

VPC CIDR: 10.5.0.0/20

Subnets implemented:

✔ Public Subnets → ALB & NAT Gateway
✔ Private Subnets → ECS Workloads
✔ Intra Subnets → RDS & EFS (isolated)

This ensured strict tier isolation and security boundaries.

• Cloud-Native Compute Platform
• Amazon ECS (Production & Staging Clusters)
  • Containerized Odoo 17 workloads
  • Auto Scaling enabled

✔ Desired Count:
• Production → 2 Tasks
• Staging → 1 Task

✔ Scaling Policies Based on CPU Utilization

• Persistent Shared Storage

Amazon EFS deployed for Odoo filestore persistence:

✔ Mounted to /var/lib/odoo
✔ Survives container restarts & redeployments
✔ Lifecycle policies for cost optimization

This solved the core challenge of running a stateful ERP system on containers.

• Database Layer Modernization

Amazon RDS PostgreSQL

✔ Single-AZ (cost-optimized pilot model)
✔ Separate logical databases for staging & production
✔ Encryption enabled
✔ Credentials managed via SSM Parameter Store

• Application Delivery Layer

✔ Application Load Balancer (ALB)
✔ HTTPS enforcement using ACM certificates
✔ Host-based routing:

• Production Traffic
  • Staging Traffic

✔ Health Checks via /web/health

• DevOps & CI/CD Automation

As detailed in the implementation plan (Executive Summary & Architecture)

InspireHub-Odoo-AWS-Implementat…

:

✔ Terraform Infrastructure as Code
✔ Multi-repository GitOps model
✔ GitHub Actions Workflows:

• Terraform Plan / Apply
  • Docker Build & Push
  • Security Scanning (Trivy / TFSec)

✔ Rolling ECS Deployments
✔ Near Zero-Downtime Releases

• Cost-Optimized Design

According to the AWS pricing estimate

InspireHub_AWS_with_S3

:

✔ Fully OPEX-based model
✔ Optimized service sizing:

• Fargate Tasks
  • RDS db.t3.small
  • Single NAT Gateway
  • EFS Lifecycle Policies

✔ Predictable Monthly Cost Structure

Outcomes of the Project & Success Metrics

• High Availability Achieved

Multi-AZ deployment significantly reduced outage risks.

• Stateful Container Stability

EFS integration ensured persistent ERP data continuity.

• Deployment Agility

CI/CD pipelines enabled rapid, repeatable releases.

• Operational Efficiency

Infrastructure as Code eliminated configuration drift.

• Security Enhancement

✔ IAM Least Privilege
✔ Encrypted storage
✔ CloudTrail & CloudWatch Monitoring

• Cost Efficiency

Shared infrastructure and rightsized services reduced unnecessary cloud spend.

TCO Analysis Performed

Before Cloud Adoption

• Traditional hosting limitations
  • Fixed capacity constraints
  • Manual scaling & deployments

After AWS Deployment

✔ Consumption-based pricing
✔ Elastic scalability
✔ Reduced infrastructure overhead

Financial Impact

• Lower upfront investment
  • Improved resource utilization
  • Predictable monthly operating costs

Lessons Learned

• Containers & Stateful Workloads Can Coexist

EFS proved critical for ERP persistence.

• Shared Infrastructure Drives Cost Efficiency

Single-account, multi-environment strategy balanced isolation with optimization.

• Automation is a Force Multiplier

Terraform + GitHub Actions drastically improved deployment reliability.

• Network Segmentation Enhances Security

Public / Private / Intra tiers reduced attack surface.

• Health Checks Improve Stability

ALB health validation ensured service resilience.

Detailed Case Study Breakdown

Requirement

• Deploy Odoo ERP on AWS
  • Ensure high availability
  • Enable persistent storage
  • Implement CI/CD automation
  • Optimize infrastructure costs

Challenge

• Running stateful ERP workloads on containers
  • Maintaining environment isolation
  • Designing scalable network architecture
  • Ensuring deployment consistency

How AWS Technology Overcame the Challenge

✔ Amazon ECS + Fargate → Serverless container orchestration
✔ Amazon EFS → Persistent shared storage
✔ Amazon RDS PostgreSQL → Managed database reliability
✔ Application Load Balancer → Traffic distribution & health checks
✔ Terraform IaC → Repeatable infrastructure
✔ GitHub Actions CI/CD → Automated deployments

End Result & Client Benefit

• Production-Ready ERP Platform
  Reliable, scalable Odoo deployment.
• Improved Operational Resilience
  Multi-AZ design reduced downtime risks.
• Persistent Data Integrity
  EFS eliminated storage-related instability.
• Faster Release Cycles
  CI/CD pipelines improved agility.
• Cost-Optimized Cloud Architecture
  Balanced performance with financial efficiency.
• Future-Ready Infrastructure
  Scalable foundation for business expansion.