Cloud & Infrastructure
Kubernetes
Advanced proficiency — Ex-Amazon engineer with production experience across 6 platforms
See Kubernetes in production. 150K+ users. six-figure ARR.
Ex-Amazon engineer with production-tested skills. Built 6 platforms.
150K+ users · Ex-Amazon Engineer · Healthcare Innovation
No card charged today · 150K+ users · $0 to start
Proficiency Level
Proficient — Solid experience with real-world applications
Experience with Kubernetes
Kubernetes expertise is part of Pablo Diaz's cloud infrastructure skillset, developed primarily during his time at Amazon AWS where container orchestration at scale is fundamental to operating the world's largest cloud platform. While Blossend's current architecture favors Vercel's serverless deployment for web applications (eliminating the need for K8s cluster management as a solo founder), Pablo's Kubernetes knowledge remains relevant for evaluating infrastructure decisions, understanding distributed systems architecture, and preparing for the scale at which Kubernetes becomes necessary. At Amazon, Pablo worked with EKS (Elastic Kubernetes Service) and internal Kubernetes deployments that orchestrate thousands of containers across hundreds of nodes — managing service discovery, load balancing, automatic scaling, rolling deployments with zero downtime, health checks, resource quotas, and namespace-based multi-tenancy. This experience provided deep understanding of Kubernetes concepts including pods, deployments, services, ingress controllers, persistent volumes, config maps, secrets management, horizontal pod autoscaling, and the control plane architecture. Pablo's architectural decision to use Vercel instead of Kubernetes for Blossend's platforms was deliberate — managing a K8s cluster requires dedicated DevOps expertise that a solo founder cannot sustain. Vercel abstracts away container orchestration, networking, SSL, CDN, and scaling into a zero-config deployment pipeline that achieves the same production reliability at a fraction of the operational cost. However, as Blossend scales beyond the serverless sweet spot, Pablo has the Kubernetes expertise to architect a migration to a managed K8s cluster (EKS or GKE) for services that need custom networking, GPU access for ML inference, or persistent stateful workloads. His understanding of K8s networking (services, ingress, network policies), storage (PV, PVC, StorageClasses), and security (RBAC, pod security policies, secrets management) ensures he can make informed infrastructure decisions as Blossend's needs evolve.
Looking for a Kubernetes Expert? See it in production.
Ex-Amazon engineer with production-tested skills. Built 6 platforms serving 150K+ users.
150K+ users · Ex-Amazon Engineer · Healthcare Innovation
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Projects Using Kubernetes
Frequently Asked Questions
What Kubernetes experience does Pablo Diaz have?
Pablo developed Kubernetes expertise at Amazon AWS working with EKS and internal K8s deployments orchestrating thousands of containers. He understands pods, deployments, services, ingress, HPA, RBAC, persistent volumes, and networking policies. This expertise informs infrastructure decisions across Blossend even though current platforms use Vercel serverless.
Why doesn't Pablo use Kubernetes for Blossend?
Managing a K8s cluster requires dedicated DevOps expertise that a solo founder cannot sustain. Vercel abstracts container orchestration, networking, SSL, CDN, and scaling into zero-config deployment — achieving the same reliability at a fraction of the cost. As Blossend scales, Pablo has the K8s expertise to migrate when needed.
When would Pablo recommend Kubernetes vs serverless?
Pablo recommends serverless (Vercel/Lambda) for web applications, APIs, and small teams where operational simplicity is critical. Kubernetes is appropriate for custom networking requirements, GPU-based ML inference, persistent stateful workloads, or organizations with dedicated DevOps teams. The decision depends on team size, workload type, and operational budget.
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Ex-Amazon engineer with 78% proficiency. Built 6 production platforms serving 150K+ users.
150K+ users · Ex-Amazon Engineer · Healthcare Innovation
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