Jithendar.com is written by an engineer who ships. Every tutorial, analysis and architecture write-up here comes from systems that were actually designed, built, broken and fixed, not from press releases.

It is two things at once: a specialist publication on AI engineering, cloud and Kubernetes, and the engineering portfolio of Jithendar Dharmapuri.

Hi, I'm Jithendar

I'm a cloud and platform engineer. I've worked with the AWS Professional Services team, helping organisations design, build and run workloads on AWS. Today I spend most of my time where cloud infrastructure, Kubernetes and AI meet: turning ambitious architecture diagrams into platforms that teams can operate with confidence.

A platform is only finished when the team running it can sleep through the night.

Jithendar Dharmapuri

What I bring

AWS and cloud architecture

  • Amazon EKS
  • Amazon ECR
  • IAM and least privilege
  • Amazon S3
  • Amazon SES
  • Well-Architected design

Kubernetes and cloud native

  • Kubernetes
  • Argo CD and GitOps
  • Kustomize
  • Helm
  • Traefik
  • cert-manager

DevOps and platform engineering

  • GitHub Actions
  • Docker
  • Self-hosted CI runners
  • Release automation
  • Linux

AI engineering

  • LLM-powered assistants
  • Model Context Protocol (MCP)
  • AI gateways
  • LLMOps

Observability and reliability

  • Prometheus
  • Grafana
  • Loki
  • OpenTelemetry
  • Jaeger

Code

  • TypeScript
  • Next.js
  • Python
  • Java
  • Bash
  • Terraform

Experience

Founder, editor and engineerJithendar.com

2026 – present

  • Built and run this publication end to end: a Next.js application on a self-managed Kubernetes cluster, with images built in GitHub Actions and pushed to Amazon ECR.
  • Designed and built RoboShop AI, a polyglot microservices storefront (TypeScript, Python, Java) with an AI shopping assistant, MCP tools and full observability, deployed with Argo CD.

AWS Professional ServicesAmazon Web Services

  • Worked with the AWS Professional Services team on customer engagements across cloud architecture, migration and delivery on AWS.

What you will find here

  • News: timely, sourced reports on releases, advisories and announcements.
  • Analysis: what a development means and who it affects.
  • Tutorials: step-by-step guides you can follow on your own infrastructure.
  • Opinion: clearly labelled personal views.
  • Curated summaries: short digests of one or more sources, always linked.
  • Projects: engineering work, with the architecture behind it.

Topics span AI engineering, AI agents, the Model Context Protocol, LLMOps and MLOps; AWS and cloud architecture; Kubernetes and the cloud-native ecosystem; DevOps, SRE and platform engineering; infrastructure as code; and security for cloud and Kubernetes workloads. Every article carries a visible label for its type, so you always know what you are reading.

Every article is reviewed and approved by a human editor before it is published.

How articles are made

News and curated summaries must cite their sources, and those sources are listed on the page. Read the editorial policy, the AI use policy and the corrections policy for the details.

How the site is built

The site is a Next.js application running on a self-managed Kubernetes cluster. GitHub Actions lints, tests and builds every change, then packages it as a container image in Amazon ECR before it is rolled out. The site uses no cookies, analytics or advertising scripts; see the privacy policy.

Let's talk

Building on AWS, running Kubernetes, or putting AI into production? I'm happy to compare notes. Reach me through the contact page, or find me on LinkedIn and GitHub.