Enterprise Kubernetes Platform

An enterprise-grade Kubernetes deployment platform built to reduce delivery friction while improving the consistency of production releases.

Application teams needed a reliable path from source changes to production workloads without repeatedly rebuilding the underlying platform concerns.

Designed and built the platform from cluster provisioning through production releases, including networking, release management, security boundaries, certificate automation, and observability.

The diagram is a sanitized conceptual view of the delivery path. It intentionally excludes proprietary infrastructure, internal services, access patterns, and implementation details.

1. 01

   On-prem Kubernetes on Tanzu

   Instead of

   Managed Kubernetes (EKS/GKE)

   Why

   Regulated workloads with data residency requirements and heavy integration with existing on-prem systems. Managed control planes would have added network egress, latency to internal dependencies, and compliance surface without removing the operational work that actually mattered.

2. 02

   Multi-tenant clusters with namespace isolation and RBAC

   Instead of

   A dedicated cluster per team

   Why

   Cluster-per-team gives the cleanest blast radius but multiplies upgrade, patching, and capacity overhead across every team. Hard namespace boundaries, network policy, and controlled egress got most of the isolation at a fraction of the operational cost.

3. 03

   cert-manager backed by Venafi

   Instead of

   cert-manager with a public ACME issuer

   Why

   Certificates had to chain to the corporate CA for internal DNS names that a public issuer cannot validate, and certificate lifecycle needed to be auditable centrally. Venafi provided the governance; cert-manager provided the Kubernetes-native automation.

4. 04

   Dynatrace as the observability layer

   Instead of

   A self-hosted Prometheus and Grafana stack

   Why

   Self-hosting offers more control but means owning storage, retention, and alerting reliability for the platform itself. Auto-instrumentation gave immediate coverage across both the new platform and the existing estate, which mattered more than tuning flexibility.

• Kubernetes
• Tanzu
• AWS
• Helm
• Docker
• cert-manager
• Venafi
• Dynatrace
• Datadog