Startup Infrastructure

Project Overview

The challenge was to migrate the startup's existing monolithic application to a scalable, resilient cloud architecture on AWS. We designed a microservices-based system using Docker containers orchestrated with Kubernetes (EKS). Key components included load balancers, auto-scaling groups, managed databases (RDS), and a CI/CD pipeline using Jenkins and GitHub Actions. This new infrastructure allowed the startup to scale seamlessly from 10,000 to over 100,000 active users while improving deployment frequency and system stability.

Challenges Faced

The startup's rapid growth exposed critical limitations in their initial setup:

• Scalability Issues: The monolithic architecture couldn't handle increasing user traffic efficiently.
• Deployment Bottlenecks: Manual, infrequent deployments were slow, risky, and hindered feature velocity.
• Availability Concerns: Infrastructure struggled during peak loads, leading to potential downtime.
• Inefficient Scaling: Lack of automated scaling resulted in either over-provisioning or performance degradation.

Solutions Implemented

We engineered a modern, cloud-native infrastructure on AWS:

• Microservices Migration: Decomposed the monolith into microservices deployed on AWS EKS (Kubernetes).
• Containerization: Utilized Docker for consistent application packaging and deployment.
• Auto-Scaling: Implemented auto-scaling groups for EC2 instances and RDS read replicas.
• CI/CD Automation: Built a robust CI/CD pipeline using Jenkins & GitHub Actions for automated builds, tests, and deployments.
• Managed Services: Leveraged AWS managed services (RDS, ELB, S3) to enhance reliability and reduce operational overhead.

Key Results

The new infrastructure delivered transformative results for the startup:

• Seamless Scaling: Effortlessly handled a 10x increase in active users without performance issues.
• High Availability: Achieved and maintained 99.95% system uptime.
• Faster Deployments: Reduced deployment times significantly, enabling faster feature releases.
• Cost Optimization: Lowered overall infrastructure costs through efficient, automated resource scaling.

Key Technologies & Skills