Reducing Infix’s Downtime by 50% with Cloud-Native AWS Infrastructure

Infix is a code generation platform built to support scalable engineering workspaces for development teams. As platform adoption increased, the company began encountering infrastructure limitations within its existing EC2-based environment.

Manual scaling processes, limited observability, and rising operational overhead were making it difficult to support growing workloads and maintain efficient deployment agility.

To modernize its infrastructure and establish a more scalable operational model, Infix partnered with TekBay Digital to design and implement a cloud-native microservices architecture on AWS.

Business Challenges

The existing infrastructure introduced several operational bottlenecks that affected scalability, deployment efficiency, and platform reliability.

1. Infrastructure Limitations: The legacy EC2-based system required manual provisioning and maintenance, which slowed deployments and increased operational complexity.
2. Scalability Constraints: The system lacked elastic scaling capabilities, making it difficult to handle traffic spikes efficiently. Static compute allocation often resulted in performance bottlenecks.
3. Reliability Gaps: The architecture did not fully leverage multi-AZ resilience, increasing dependency risks and limiting failover readiness during incidents.
4. Observability Challenges: Monitoring was fragmented across systems, with limited centralized logging and tracing, leading to slower debugging and root cause analysis.
5. Cost Inefficiencies: Inefficient resource utilization and manual infrastructure management contributed to rising operational costs over time.

Solution Approach from TekBay

TekBay re-architected the system as a cloud-native, Kubernetes-driven platform on AWS, focusing on automation, scalability, and reliability.

The modernization initiative focused on:

• automated workload scaling
• infrastructure automation
• centralized observability
• multi-AZ resiliency
• automated backup and recovery
• streamlined deployment workflows

This transition enabled Infix to move away from manually managed infrastructure toward a more scalable and operationally efficient cloud-native platform.

Architecture Overview

The final architecture was designed as a layered cloud system:

Networking Layer

• Amazon Route 53 for DNS routing
• Amazon VPC for network isolation
• NAT Gateway for controlled outbound traffic
• Elastic Load Balancer for traffic distribution

Compute & Containers

• Amazon EKS for Kubernetes orchestration
• Amazon ECR for container image management
• Auto-scaling node groups for workload elasticity

Storage & Data Layer

• Amazon S3 for static assets and backups
• Amazon EFS for shared storage
• Amazon RDS Multi-AZ for database resilience

Observability Layer

• Amazon CloudWatch for logs and metrics
• AWS X-Ray for distributed tracing
• OpenTelemetry (ADOT) for standardized telemetry

Security Layer

• IAM for access control
• KMS for encryption
• Secrets Manager for credentials
• Cognito for authentication

Core Infrastructure Enhancements

1. Kubernetes-Based Microservices

The platform was migrated to Amazon EKS to enable Kubernetes-managed container orchestration and automated scaling across services.

Managed node groups and autoscaling capabilities improved workload flexibility while reducing manual infrastructure intervention during traffic spikes.

2. CI/CD & Infrastructure Automation

Deployment pipelines were fully automated using GitHub Actions, enabling continuous integration and production-grade delivery workflows.

Terraform was used to enforce Infrastructure as Code (IaC), ensuring:

• Reproducible environments
• Version-controlled infrastructure
• Faster recovery and rollback

SonarQube was integrated for code quality validation before deployment.

3. Centralized Observability

A centralized observability framework was implemented to provide end-to-end visibility across distributed microservices running on Amazon EKS.

The stack combined:

• Amazon CloudWatch for system logs, metrics, and alerting
• AWS X-Ray for distributed request tracing
• OpenTelemetry for standardized telemetry collection across services
• Prometheus-based metrics for Kubernetes workload monitoring

Together, these components create a unified observability layer that connects infrastructure metrics, application logs, and request-level traces into a single operational view.

4. Reliability & Security Design

High availability was achieved using:

• Multi-AZ deployment architecture
• Kubernetes auto-scaling policies
• Automated failover mechanisms
• Backup-driven recovery (AWS Backup + Velero)

Security was enforced through:

• IAM-based access control
• KMS encryption (at rest & in transit)
• Secrets Manager for credentials
• Cognito authentication layer

Performance Outcomes & Business Benefits

The modernization initiative delivered measurable operational and performance improvements across the platform.

Business Benefits

• Improved workload scalability during peak demand
• Faster and more reliable deployment cycles
• Reduced operational overhead through automation
• Enhanced monitoring and troubleshooting capabilities
• Improved infrastructure resiliency and recovery readiness

Conclusion

By partnering with TekBay Digital, Infix successfully transitioned from a manually managed EC2-based environment to a scalable cloud-native platform on AWS.

The new architecture improved deployment agility, operational visibility, and infrastructure resiliency while establishing a stronger foundation for future platform growth and engineering scalability.