Proven Results

Challenge

A growing SaaS company running on bare-metal servers needed to migrate to the cloud to handle 10x traffic growth without proportional infrastructure cost increases.

Approach

Designed and implemented a multi-AZ EKS cluster with Karpenter autoscaling, GitOps deployment via ArgoCD, and a full observability stack. Migrated 40+ microservices with zero downtime using a phased blue-green approach.

Results

Challenge

A financial services company with a 15-year-old Java monolith needed to increase development velocity while maintaining strict compliance requirements.

Approach

Implemented a Strangler Fig pattern to incrementally decompose the monolith. Containerized services on EKS with network policies for compliance isolation. Built automated CI/CD pipelines with security scanning gates.

Results

Challenge

A data-driven startup needed production ML infrastructure to serve real-time predictions at scale, with GPU workloads running efficiently on Kubernetes.

Approach

Built an end-to-end ML platform on EKS with GPU node pools managed by Karpenter. Implemented SageMaker pipelines for training, Triton Inference Server for model serving, and automated model promotion through CI/CD.

Results

Challenge

An e-commerce company with manual deployments and frequent outages during peak traffic needed to modernize their operations ahead of a major product launch.

Approach

Implemented full DaaS engagement. Infrastructure as Code with Terraform, automated CI/CD pipelines, blue-green deployments, comprehensive monitoring with PagerDuty integration, and auto-scaling infrastructure on AWS.

Results