GoAgalia: Scalable AWS Cloud Infrastructure
Services provided on this Project
About the Customer
GoAgalia is a healthcare technology company that provides workforce management solutions for hospitals and healthcare facilities. Their platform streamlines scheduling, placement coordination, and payroll management for nurses, doctors, and medical staff across multiple healthcare organizations. Operating in the fast-paced healthcare industry, GoAgalia serves facilities that require 24/7 operational reliability and must comply with strict data privacy regulations including HIPAA.
Problem Statement
GoAgalia's legacy infrastructure could not scale to meet growing demand from expanding hospital networks, causing performance degradation during peak scheduling periods that affected thousands of healthcare workers. As a healthcare application handling sensitive employee data, GoAgalia needed HIPAA compliance but lacked necessary security controls, encryption standards, and audit capabilities. Manual deployment processes led to inconsistent environments, prolonged deployment times, and increased risk of human error, while over-provisioning infrastructure resulted in unnecessary costs. Without addressing these challenges, GoAgalia risked losing customer trust, facing compliance violations with severe financial penalties, and being unable to scale their business.
CLIENT
GoAgalia
PROJECT SCHEDULE
Dec 2024 — June 2025
PROJECT SIZE
$200,000 to $499,999
Proposed Solution
Amazon EKS (Elastic Kubernetes Service)
Migrated backend services and microservices to a private EKS cluster with managed node groups that automatically scale based on workload demands. Deployed Redis and RabbitMQ as containerized pods within the EKS cluster for caching and message queuing.
Amazon VPC with Multi-Tier Architecture
Implemented a multi-tier VPC architecture with public and private subnets across multiple availability zones. The private EKS cluster was deployed in private subnets with no direct internet access, while an AWS Application Load Balancer (ALB) was configured in the public subnet to route external traffic.
Amazon RDS with High Availability
Deployed Amazon RDS in private subnets with automated backups, multi-AZ deployment for high availability, and encryption at rest using AWS KMS. Database credentials were managed through AWS Secrets Manager with automatic rotation enabled. Implemented read replicas to offload reporting queries.
AWS Amplify and Amazon CloudFront
Deployed the frontend application using AWS Amplify with seamless CI/CD integration and automatic HTTPS configuration. Integrated Amazon CloudFront as the content delivery network to cache static assets globally, significantly reducing latency for end users.
GitOps CI/CD Pipeline
Implemented a GitOps-based CI/CD pipeline using GitHub Actions for continuous integration and ArgoCD for continuous deployment. Infrastructure was defined using Terraform and Kubernetes manifests stored in version control, enabling reproducible deployments and easy rollbacks.
Comprehensive Monitoring and Security
Implemented enterprise-grade monitoring using Datadog and Amazon CloudWatch. Enabled AWS CloudTrail for comprehensive audit logging, configured AWS Config for compliance monitoring, and deployed AWS WAF in front of the Application Load Balancer. Integrated CrowdStrike Falcon for advanced threat detection.
AWS Backup and Disaster Recovery
Implemented automated backup strategies using AWS Backup for RDS and EBS volumes, with cross-region replication for critical data. Created a documented disaster recovery plan with RTO and RPO targets, utilizing EKS cluster snapshots and Infrastructure as Code.
This comprehensive AWS cloud-native solution leverages DevOps best practices and modern containerization technologies to deliver a secure, scalable, and cost-effective infrastructure that meets HIPAA compliance requirements and enables GoAgalia to serve their growing healthcare customer base.
Core tech stack we work with
Leveraging the Leading Programming Languages and Frameworks to Deliver Reliable, Scalable Solutions.
Outcomes & Success Metrics
Significant reduction in scam calls, improved uptime, enhanced scalability, and efficient AI integration.
Results and Benefits
The AWS cloud migration and DevOps transformation delivered substantial, measurable improvements across all areas of GoAgalia's operations. Application response times improved significantly, with the average API response time dropping from 850ms to 320ms. The auto-scaling capabilities enabled the platform to handle 2.5x more concurrent users during peak scheduling periods without performance degradation. The system now automatically scales based on demand, ensuring optimal resource utilization.
Deployment times were reduced from 3-4 hours of manual deployment to fully automated deployments completing in under 40 minutes. The DevOps team saved significant time previously spent on manual deployment and maintenance tasks, allowing them to focus on feature development and innovation. Overall infrastructure costs decreased by approximately 35% through right-sizing instances, implementing auto-scaling, and optimizing resource allocation.
The platform achieved full HIPAA compliance with all required security controls in place. System uptime improved to 99.7% with enhanced monitoring and automated failover capabilities. Mean time to recovery (MTTR) improved from 40+ minutes to 10-12 minutes through automated monitoring and self-healing capabilities in Kubernetes. GoAgalia successfully onboarded multiple new hospital networks within six months of the migration, and customer satisfaction scores improved due to enhanced application performance and reliability.
About the Partner
CodetoKloud is an AWS Partner specializing in cloud infrastructure design, DevOps transformation, and containerized application deployment. We help healthcare and enterprise clients modernize their infrastructure, implement DevOps best practices, and achieve compliance with industry regulations. Our team of AWS-certified engineers has extensive experience with Kubernetes, CI/CD automation, and cloud-native architectures. We focus on delivering secure, scalable, and cost-effective cloud solutions that enable our clients to innovate faster and operate more efficiently. Our DevOps expertise spans infrastructure automation, container orchestration, monitoring and observability, and security best practices, helping organizations transform their software delivery processes and achieve measurable business outcomes.