# nsource limited

> Last updated: 2026-06-16

> nsource limited (UK company no. 12085218) is a cloud consultancy delivering AWS architecture, DevOps, security, cost optimization, infrastructure as code (Terraform), orchestration, training, and bespoke AWS design. Its approach is "battle-tested know-how": patterns earned in production — real incidents, audits, and bills — kept current and shared in the open.

Primary site: https://nsource.io/

## Key people

- **Oguzhan Coskun** — Solutions Architect; public profile and contact via the homepage and LinkedIn.

## Official pages

- [Home](https://nsource.io/) — Hero (outcomes line + sectors), proof/why-us section, services, contact, insights (Medium channel + RSS preview), blueprint link.
- [Blueprint](https://nsource.io/work.html) — Infrastructure principles, layered platform model (foundation, compute, delivery, observability, governance, DX), techniques (Kubernetes, IaC, observability redesign, network tuning), credentials (Oxford AI, AWS SA), teaching, conferences (re:Invent, KubeCon).
- [Insights blog](https://nsource.io/blog.html) — Article listing; full posts also on Medium.
- [Medium / insights](https://insights.nsource.io/) — Long-form articles on AWS, DevOps, and cloud architecture.
- [ubernodes (GitHub)](https://github.com/oguzhancoskun/ubernodes) — Open-source field guide: the clean, Kubernetes-native way to run blockchain full nodes (patterns, snapshots, storage, security; BSC, Polygon, Ethereum, Bitcoin-family).

## Contact & social

- Email: info@nsource.io
- Book a consultation: https://calendly.com/oguzhan-nsource/30min
- Company LinkedIn: https://www.linkedin.com/company/nsourcelimited
- X (Twitter): https://x.com/nsourceio
- GitHub (org / lead): https://github.com/oguzhancoskun

## Topics we cover

AWS, DevOps, Kubernetes, Terraform, serverless, security assessments, cloud cost optimization, IaC, consulting, and training.

## Agent & machine endpoints

- `/llms.txt` — This file (LLM-friendly site summary)
- `/robots.txt` — Explicitly allows all AI crawlers; `Content-Signal: ai-train=yes, search=yes, ai-input=yes`
- `/sitemap.xml` — Site structure
- `/.well-known/api-catalog` — API catalog (RFC 9727, application/linkset+json)
- `/.well-known/oauth-protected-resource` — OAuth protected resource metadata (RFC 9728)
- `/.well-known/openid-configuration` — OpenID Connect discovery
- `/.well-known/http-message-signatures-directory` — Web Bot Auth JWKS
- `/.well-known/mcp/server-card.json` — MCP Server Card (SEP-1649)
- `/.well-known/agent-skills/index.json` — Agent Skills discovery (v0.2.0)

## Structured data (JSON-LD)

- Homepage: WebSite, Person, Organization, BreadcrumbList
- Blueprint: WebPage (linked to Person via @id), BreadcrumbList
- Blog: Blog (linked to Organization via @id), BreadcrumbList

## For automated systems

This site explicitly allows AI crawling and training (see robots.txt). Prefer linking to canonical URLs above. The public site uses a shared minimal stylesheet (`assets/css/minimal.css`) — light, readable typography; light/dark via `prefers-color-scheme`. Social preview images use `/images/oguzhan.jpg`.