Pavan Madduri is a Cloud-Native Architect and a certified Golden Kubestronaut. With over a decade of experience transitioning from Java development to hyperscale Kubernetes ecosystems, he focuses on the intersection of GitOps, High-Performance Computing (HPC), and automated infrastructure. He is an active contributor to the CNCF ecosystem and speaks regularly on DevOps evolution.
K8sGPT and the Guardrails for AI-Assisted Kubernetes Troubleshooting
A practical way for platform teams to use AI for faster Kubernetes triage without giving agents unsafe control of the cluster. The first time an AI tool gets real cluster context, the ...
Inside the Packet: How Kubernetes Networking Actually Works at L3/L4
Stop guessing why your Pods can't communicate. This deep dive strips away the magic of Kubernetes networking, providing a layer-by-layer breakdown of the dataplane using real packet captures, kernel data structures and ...
Stop Wasting GPU Budget: Autoscaling AI Inference on Kubernetes with KEDA
The rush to deploy Large Language Models (LLMs) and generative AI has created a massive infrastructure bottleneck. Platform engineering teams are spinning up expensive GPU node pools on Kubernetes, but they are ...
Shattering the Kubernetes Registry Bottleneck: Scaling Enterprise CI/CD With P2P Mesh Architecture
The transition from centralized infrastructure to decentralized topologies is inevitable as compute scales. Relying on a single registry to serve thousands of ephemeral containers is an architectural anti-pattern. ...
The Inference Bottleneck: Architecting Kubernetes Autoscaling for Production LLMs
Generative AI (GenAI) is moving into production, but native Kubernetes autoscaling is fundamentally broken for large language model (LLM) inference ...
Architecting Enterprise GitOps: Scaling Argo CD on OKE
The industry is shifting to pull-based GitOps with Argo CD to solve configuration drift across Kubernetes fleets ...
Deploying Docker AI Agents on OCI and OKE
This guide details the architectural transition of AI agents from experimental scripts to "first-class production workloads" using Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). It emphasizes a zero-trust, scalable approach ...
Zero-Trust on OKE: How to Actually Secure Your Clusters With Terraform
Secure your OKE production clusters on Oracle Cloud (OCI). Learn how to use Terraform to implement VCN-Native CNI, private API endpoints, AMD SEV memory encryption, and OCI Workload Identity for a zero-trust ...
Beyond the Green Checkmark: Using Formal Verification to Stop ArgoCD Drift
In the cloud-native landscape, GitOps leads the way for continuous delivery, yet relying solely on synchronization can mask systemic issues. This article outlines the importance of formal verification in deploying Kubernetes manifests ...
The Efficiency Era: How Kubernetes v1.35 Finally Solves the “Restart” Headache
Kubernetes v1.35 introduces in-place resource resizing, revolutionizing how stateful workloads are managed. Discover the benefits of dynamic resource allocation, traffic distribution, and the improvements that enhance operational efficiency for platform engineers ...
