LexisNexis
Platform engineering inside a FedRAMP-aligned, multi-tenant Kubernetes environment: cost, resiliency, and AI infrastructure, not a green-field project.
13%
EKS cost reduction
Graviton migration, ECR cleanup, multi-arch images
~8%
Lower monthly infra cost
Karpenter provisioning via Helm + ArgoCD
12 hrs
Full cluster recovery
Tested in 3 Technical Resiliency exercises
Minutes → seconds
AI/ML pod startup time
Bootstrap image caching with DaemonSets + Karpenter
12 / 23
Kyverno policies / clusters
Deployed via Helm, tracked on a Splunk dashboard
FedRAMP
Compliance-aligned upgrades
Velero, Kyverno, Istio, ArgoCD version alignment
Tools used
Kubernetes
EKS
Helm
Kyverno
Istio
ArgoCD
Velero
Karpenter
Graviton
Splunk
NVIDIA
Highlights
Led the GenAI initiative: proof-of-concepts for k8sGPT, Karpor, and TachyonGPT
Migrated 10+ core applications to a standardized ArgoCD-driven Kubernetes setup
Set up an NVIDIA GPU Operator for automated GPU node scheduling on AI workloads
Implemented network guardrails via Kyverno policies across multi-tenant namespaces
Impact at a glance
Where the work went
- Cost· 2 of 6
- Reliability· 2 of 6
- Security & Compliance· 2 of 6
Measured improvement
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