Four independent projects covering streaming, Kubernetes operations, infrastructure and delivery. Each case study documents my implementation, the tradeoffs and the evidence behind the result.
Every architecture, measurement and demonstration shown here comes from my own project environments. No former-employer source code, configuration, customer information, infrastructure inventory, budgets or production metrics are presented.
Flagship case study
Kafka Streaming Platform
I built a sensor-event pipeline with Python services, a three-node Kafka KRaft cluster and PostgreSQL on Kubernetes. Application logic, stateful infrastructure and the ordered Argo CD rollout are managed separately.
Objective
Ingest, process and expose IoT-style sensor events reliably.
Ownership
Architecture, containerization, Kubernetes runtime and GitOps rollout.
I built an EKS operational layer with workload-aware provisioning, shared observability and scoped CI runners. A 22-day Cost Explorer report records 100% Spot usage in this project environment.
Decision
Express capacity policy and limits in Karpenter.
Evidence
NodePool configuration, runtime inventory and tagged spend.
I defined the networking, identity and cluster boundaries as separate Terraform responsibilities: three availability zones, private IPv6 workers, seven service endpoints and controlled scaling.
Decision
Keep private service access explicit in the VPC design.
Evidence
Module boundaries, source inventory and deployment order.
Terraform manages a Route 53 and CloudFront delivery path backed by a private S3 origin. Deployment, cache invalidation, origin isolation, TLS and cost controls are documented as operational evidence.