Case Studies

Real engineering. Real results.

Composite case studies based on real engagement patterns. The problems are real, the outcomes are real, the details are anonymized.

Financial Services

Multi-Cluster GitOps for a Trading Platform

A financial services firm needed to standardize deployments across 12 Kubernetes clusters spanning three regions. We implemented a FluxCD-based GitOps architecture with automated reconciliation, policy enforcement, and progressive rollouts — reducing deployment failures by 80% and cutting release cycles from weeks to hours.

80% fewer failures 12 clusters unified 4hr release cycles
Healthcare SaaS

Cloud Migration for a Healthcare Data Platform

A healthcare SaaS provider needed to migrate 200+ microservices from on-premise VMware to AWS EKS while maintaining HIPAA compliance. We designed a phased migration strategy with automated testing, compliance validation, and zero-downtime cutover, completing the migration 3 weeks ahead of schedule.

200+ services migrated Zero downtime 3 weeks early
Enterprise Technology

AI Copilot for an Engineering Organization

A technology company wanted to accelerate developer productivity across a 150-person engineering team. We built a custom AI copilot integrated with their internal documentation, code review workflows, and incident response playbooks — reducing developer onboarding time by 40% and cutting mean-time-to-resolution on incidents.

40% faster onboarding 150 engineers enabled 30% faster MTTR
Federal Agency

Compliant Platform Engineering for a Federal Program

A federal agency needed an internal developer platform that met FedRAMP High requirements while enabling rapid application delivery. We delivered a Kubernetes-based platform on AWS GovCloud with automated compliance scanning, policy-as-code enforcement, and developer self-service — accelerating their Authority to Operate by 3 months.

FedRAMP High 3 month ATO acceleration 60% faster deployments

Case studies represent composite examples based on real engagement patterns. Specific client details have been anonymized.

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