Scaling AI Automation with ECS & Aurora PostgreSQL
DevOps & Solution Architecture
Amazon RDS
AWS Backup
Amazon EKS
AWS Backup
ALB/ELB
CloudWatch
Executive Summary
Luxia, an AI-driven no-code automation platform, helps businesses optimize data, documents, and workflows securely and efficiently. To accelerate growth and deliver GenAI-powered services at scale, Luxia needed to modernize its AWS environment, strengthen governance, and optimize its database layer.
Their legacy single-account setup and inefficient PostgreSQL database led to slow queries, scaling bottlenecks, and risky manual maintenance processes.
GoCloud partnered with Luxia to implement a multi-account Landing Zone with AWS Control Tower, modernize containerized workloads on Amazon ECS Fargate, and migrate to Amazon Aurora PostgreSQL (Multi-AZ) for performance and resilience. With automated governance, CI/CD pipelines, and a secure database foundation, Luxia can now scale confidently, reduce downtime risks, and expand its AI platform globally.
About the Customer
Luxia is an all-in-one AI automation platform that empowers organizations to:
- Automate workflows and documents
- Analyze structured and unstructured data
- Enhance customer interactions with virtual agents
Its no-code, modular applications—including Workflow, Data Assistant, Document Analyst, and Virtual Agent—integrate seamlessly with CRMs, ERPs, and enterprise systems. With a strong focus on generative AI, automation, and data security, Luxia enables enterprises to innovate faster, reduce costs, and operate at global scale.
Customer Challenges
Luxia’s AWS environment faced several critical challenges:
- Database Performance: PostgreSQL struggled to balance heavy writes, analytics, and API reads, causing query delays and resource strain.
- Scaling Bottlenecks: Lack of read replicas and poor offloading limited flexibility during traffic spikes.
- Maintenance Burden: Backups, upgrades, and patches were manual, increasing downtime and compliance risks.
- Single-Account Limitations: Environments lacked separation, making compliance enforcement and governance difficult.
If left unaddressed, these issues would have slowed innovation, increased downtime risks, and hindered global scale-up.
Why AWS
AWS was selected for its scalable, resilient, and compliance-ready infrastructure. By leveraging Aurora PostgreSQL, ECS Fargate, and Control Tower, Luxia gained:
- Automated scaling of workloads
- Strong governance and compliance controls
- High availability with minimal operational overhead
Why They Chose GoCloud
As an AWS Advanced Consulting Partner, GoCloud was chosen for its expertise in:
- Designing multi-account Landing Zones with Control Tower
- Migrating and modernizing databases with Aurora PostgreSQL
- Automating deployments with CI/CD pipelines
- Ensuring security and compliance for enterprise-scale AI workloads
GoCloud’s proven experience gave Luxia confidence to migrate securely, optimize performance, and simplify governance.
GoCloud’s Solution
GoCloud transitioned Luxia to a multi-account AWS environment with optimized database and container orchestration.
Key AWS Services Deployed
- AWS Control Tower – Multi-account setup with preventive and detective guardrails.
- Amazon VPC (per environment) – Isolated dev, staging, and production networks.
- Amazon ECS Fargate – Serverless container orchestration for microservices.
- AWS Cloud Map – Service discovery for ECS tasks.
- Amazon Aurora PostgreSQL (Multi-AZ) – Resilient, scalable relational database with read replicas.
- AWS Backup – Automated daily backups with retention policies.
- AWS Secrets Manager – Secure credential storage with automatic rotation.
- Elastic Load Balancer (ALB) – Traffic distribution and SSL termination.
- AWS CodePipeline + CodeBuild – CI/CD automation integrated with GitHub.
- Amazon S3 + CloudFront – Global content delivery and artifact storage.
- Amazon CloudWatch + AWS Config + Security Hub – Centralized monitoring, compliance, and security visibility.
Architecture Highlights
- Multi-Account Landing Zone: Control Tower provisioned dev, staging, and production accounts with governance guardrails.
- Aurora PostgreSQL Migration: Migrated from standalone PostgreSQL to Aurora Multi-AZ with read replicas for reporting and analytics.
- CI/CD Pipelines: CodePipeline integrated with GitHub to automate build, test, and deploy into ECS Fargate.
- Service Discovery & Networking: Cloud Map enabled ECS microservice discovery; workloads ran in private VPC subnets with NAT Gateways for outbound traffic.
- Centralized Security & Compliance: AWS Config, Security Hub, and GuardDuty provided continuous compliance and threat detection.
Results & Benefits
✅ Performance with Aurora PostgreSQL
Aurora PostgreSQL with Multi-AZ and read replicas eliminated slow queries, balanced heavy writes with scalable reads, and reduced CPU/memory strain.
✅ High Availability & Scalability
Aurora’s built-in failover, replication, and read scaling ensured workloads scaled seamlessly during traffic spikes with no downtime.
✅ Simplified Maintenance & Reliability
Automated backups, upgrades, and patching reduced downtime risks and operational effort.
✅ Secure & Compliant Environment
Centralized governance, IAM Identity Center (SSO), and security guardrails ensured compliance with best practices.
✅ Accelerated Innovation
CI/CD pipelines enabled faster, consistent deployments, supporting Luxia’s GenAI-powered product launches.