Cloud infrastructure & DevOps
Secure cloud platforms.
Dependable AI systems.
I’m Bhakta Thapa. My focus is cloud infrastructure, Kubernetes, and DevOps. I bring architecture, configuration, and troubleshooting into clear, practical engineering work.
Technical focus
Cloud, platform & AI engineering
Core technologies and engineering practices developed across production infrastructure, delivery automation, and cloud-native AI systems.
Cloud & platform engineering
- AWS, Azure & hybrid cloud
- Kubernetes, Docker & Helm
- Platform reliability & disaster recovery
Infrastructure & delivery
- Terraform & Infrastructure as Code
- GitHub Actions, Jenkins & Azure DevOps
- Argo CD & CI/CD automation
Observability & security
- Prometheus, Grafana & ELK
- OpenTelemetry, logging & tracing
- IAM, secrets management & DevSecOps
Cloud AI engineering
- Python, FastAPI & backend APIs
- LLM, RAG & agentic workflows
- AI gateways, guardrails & human-in-the-loop systems
Technical writing
Latest articles
6 articles across 9 topics.
- Kubernetes Ingress: How web traffic finds the right Service
Understand how Kubernetes Ingress matches a host and path, then routes web traffic through a Service to an application Pod.
- YAML explained: mappings, lists, and indentation
Learn to read YAML with a step-by-step motion diagram. Understand key/value pairs, mappings, lists, indentation, common mistakes, and Kubernetes manifests.
- Kubernetes Gateway API explained: diagrams and YAML
Follow an HTTPS request from browser to Kubernetes Pod. Learn GatewayClass, Gateway, HTTPRoute, and TLS with diagrams, example YAML, and debugging steps.
- Kubernetes storage explained: StorageClass, PV, and PVC
Understand Kubernetes StorageClass, PV, PVC, and dynamic provisioning with interactive diagrams, animated steps, YAML examples, and troubleshooting guidance.
- What is a Kubernetes Pod, really?
A Pod is the smallest thing Kubernetes runs. Here's what that means, with a manifest you can apply today.
- About this publication: practical engineering knowledge
Technical writing on Kubernetes, DevOps, cloud infrastructure, and AI engineering, with clear explanations and practical examples.
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