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Case studies

Shipped, measured,
verified.

Real outcomes from real engagements: how teams came to ship faster, spend less, and sleep better.

01 / 04

SaaS platform migration to AWS EKS

Cloud Migration · Kubernetes · AWS

The situation

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.

The 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.

The outcome

99.99%
Uptime post-migration
65%
Cost reduction
50+/day
Deployments
<5 min
Recovery time
02 / 04

Legacy monolith modernization

Modernization · DaaS · CI/CD

The situation

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

The 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.

The outcome

Daily
Release cycle, from monthly
2 days
Developer onboarding
Zero
Compliance findings
Team velocity
03 / 04

ML platform on AWS EKS

AI/ML · Kubernetes · AWS

The situation

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

The 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.

The outcome

4 hrs
Model deployment, from 2 weeks
85%
GPU utilization
<50 ms
Inference latency (p99)
40%
Cost savings
04 / 04

DevOps transformation for e-commerce

DaaS · AWS · CI/CD

The situation

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

The approach

Implemented a 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.

The outcome

Zero
Downtime on launch day
8 min
Deploy time, from 4 hours
35%
Infra cost reduction
80%
Fewer incidents

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