I'm Shiv Jani — a DevOps and cloud practitioner, Chapter Leader at Elastic User Group Gujarat, and a technical creator who enjoys making complex systems easier to understand.
YOUR CLOUD, MY CRAFT.
Projects and learning artifacts that reflect my interest in infrastructure, automation, Linux, and developer experience.
A container-focused web application project used to explore packaging and running an application with Docker.
$ systemctl status sshd
● sshd.service - OpenSSH server
$ ls /study/
users/ storage/ services/
$ _
A structured repository of Linux administration notes and practice material for continued learning and revision.
A growing area of exploration across search, observability, AI-enabled workflows, and community-led technical learning.
Project descriptions are intentionally conservative. Open each project for links and details; add verified architecture diagrams, screenshots, and outcomes as the projects mature.
My toolkit is organized around the work: operating systems, cloud foundations, delivery automation, and observability.
Linux administration, RHEL fundamentals, services, storage, permissions, networking, and troubleshooting.
Cloud foundations and architecture learning across compute, storage, IAM, networking, monitoring, and managed Kubernetes.
Building a stronger understanding of container images, workloads, services, and cluster operations.
Learning repeatable delivery through pipelines, version control, infrastructure as code, and GitOps patterns.
Interested in the systems that help teams understand application behavior, troubleshoot issues, and make data useful.
Skills represent areas of study and project work, not a claim of equal depth or production ownership across every tool.
A snapshot of the path so far. Exact dates and role details should be confirmed before this becomes a formal résumé substitute.
Built a foundation in Linux system administration and practical RHEL operations.
DevOps internship experience. Specific responsibilities, duration, and deliverables can be added once verified.
Chapter Leader, helping build a local community around search, observability, AI, and technical knowledge sharing.
Exploring cloud-native projects and translating engineering concepts into accessible technical content.
Beyond infrastructure, I care about bringing people together, making technical topics approachable, and helping useful ideas reach the right audience.
Connect with me ↗I write and create on Medium to share real-world engineering workflows, Kubernetes debugging, search internals, and local AI.
A symptom-to-fix workflow with kubectl commands for reading exit codes, previous logs, events and probes.
Read on Medium ↗
From a ref update on a remote server to a running release, and the guardrails that keep one push from becoming an incident.
Read on Medium ↗
A single GET /my-index/_search looks like one operation. Inside the cluster it is several: coordinating nodes, shards, and Lucene.
Read on Medium ↗
A local RAG pattern that answers questions over large datasets without loading them into the model.
Read on Medium ↗
From incident investigation and security analytics to enterprise search and RAG, here is where Elastic earns its place.
Read on Medium ↗
Real-world debugging stories, edge cases in distributed clusters, and key takeaways for engineers.
Read on Medium ↗
From an HTTP request to ranked hits: how coordinating nodes, shards, Lucene segments, and scoring turn a search into results.
Read on Medium ↗
From a GGUF file to generated tokens: how RAM, quantization, context length, CPU and GPU determine local AI performance.
Read on Medium ↗
How contributing to Elastic User Group Gujarat turned into a conversation with Elastic's CEO, and a pitch for a project.
Read on Medium ↗
A breakdown of the top offline AI models (Phi-4, Gemma 4, Qwen, DeepSeek-R1), tools to run them, and RAM tiers.
Read on Medium ↗For DevOps opportunities, cloud-native projects, community collaborations, and content partnerships, let's connect.
shivjani2005@gmail.com ↗