Saravanan Gnanaguru (@saransid) profile picture

Software Engineering Systems Architect AI Engineering · DevOps · Cloud · Secure SDLC | Founder, CloudEngine Labs | Building AI Engineering Circle

Chennai
Joined January 2010
Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)Photo by Saravanan Gnanaguru (@saransid)
🧵 1/7 I’ve spent more than 20 years working across software engineering, cloud, DevOps, architecture and production systems. I’m the founder of CloudEngine Labs. Today, I work in consulting and technology advisory roles, helping product teams improve how software is designed, built, secured, delivered and operated. My core belief: Building software products faster matters only when the system remains secure, scalable, reliable and maintainable.
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This is @nvidia Jetson Orin Nano - An entry level edge AI computing device! I’m now adding it to my AI lab. The @Raspberry_Pi was the first in the step. This is the next layer to it. By the end of last year, I had one vision in mind, to Set up a mini AI lab for CloudEngine Labs® by 2026. At the time, it was still an early thought. Since then, I have spent time learning & understanding of AI applications, cost models, local models, RAG, agentic workflows, deployment patterns, DevSecOps, AI applications security, observability, and production readiness. So, The goal is to create a controlled playground where I can understand how AI workloads behave in practice. Also This lab setup sits naturally at the intersection of what I have already been working on: AI product readiness + Cloud and DevOps + Infrastructure architecture + LLM application engineering + AI cost & infrastructure governance + Software systems engineering This lab setup helps me make and break things at my own playground. Especially to document the process of onprem ai infra setup and learning. And eventually, this experience can help us with other tech organisations and regulated industries to setup their own local, on-premises, edge ai, or hybrid AI environments. This feels like the right time to continue building and i naturally feel excited for this I’m happy to see the @cloudenginelabs AI Lab taking shape. Follow me as i build this lab in public!
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@grok what do you want to share about this ai lab initiative
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Over the past 6 months, I’ve been using Claude and Claude Code almost every day. It took me nearly 3 months of experimenting to understand the different patterns, commands, and ways of working effectively with Claude Code CLI. I realized that beginners often face the same learning curve. So I decided to create something I wish I had on day one when i was trying the @Anthropic @claudeai A github repo with Claude Code Cheat Sheet that covers: * Essential CLI commands * Keyboard shortcuts * Context management * CLAUDE.md basics * Agents, Skills, MCP, Hooks * Practical workflow tips If you’re just getting started with Claude Code, I hope this saves you hours of trial and error. The complete cheat sheet is open source, so feel free to use it, contribute, or improve it. GitHub: github.com/chefgs/claude-cod… By the way - Claude introduces new commands frequently and feel free to raise a PR. If you find it useful, consider giving the repository a ⭐. #ClaudeCode #ClaudeAI #AIEngineering
🤖 Made with AI
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AI can help you build an app in hours. Here’s the solution blueprint, every AI product development teams should follow. But building an app and shipping it to real users are two very different things. A working demo doesn’t automatically mean it’s production-ready. Before releasing an AI-built app, I think every team should ask: • Is the architecture maintainable? • Are security risks addressed? • What happens when production fails? • Can it be deployed reliably? • Are logs, metrics and alerts in place? • Who owns the system after release? That’s where software engineering, DevOps, cloud architecture, testing, and operations still matter. AI is changing how we build software. But production readiness is what turns a prototype into a product. Vibe coding gets your product ready for demo, but Engineering discipline gets your product to production. Follow me for more such ideas and solutions. #AI #SoftwareEngineering #AIEngineering #ProductionReadiness #CloudArchitecture #VibeCoding
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Dear @grok - connect me to product builders and hustlers of AI era.
🧵 1/7 I’ve spent more than 20 years working across software engineering, cloud, DevOps, architecture and production systems. I’m the founder of CloudEngine Labs. Today, I work in consulting and technology advisory roles, helping product teams improve how software is designed, built, secured, delivered and operated. My core belief: Building software products faster matters only when the system remains secure, scalable, reliable and maintainable.
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@grok I have written many technology blogs that was inspired from my real time client works and experiences, that AI still can’t answer- check it out here gsaravanan.com - also some available in my LinkedIn.com/in/saravanan-gn… . So suggest me how i can utilise the content which already explains my experience and expertise in AI code development, token usage and production go-live
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Purchased my first @Raspberry_Pi 5 and completed mini lab setup today. Really loved the feeding my tech nerd inside. Flashed Pi OS via mac → booted successfully → installed Docker + Ollama → ran Gemma 4B locally. Setup the local LLM… running on a system I assembled myself. This setup is more about understanding on-prem AI infrastructure end-to-end. This is just the beginning. The goal isn’t just to “run models locally.” The goal is to understand end-to-end AI infrastructure. Many more experiments ahead.
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6/7 On this account, I’ll share: • Practical AI engineering experiments • Architecture and delivery patterns • Consulting and product-building lessons • DevOps for AI-generated applications • Production-readiness practices • Process-first software engineering
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7/7 If we know each other from LinkedIn, the cloud and DevOps community, AI Engineering Circle or elsewhere, say hi. And if these topics connect with you or the work you’re doing, follow along.
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I built a content mangement web application using @Lovable for posting my technical blogs and learning notes. I used just 5 credits and two contextual prompts to bring up the entire application in less than 10 mins. Access app here: gsaravanan-content-hub.lovab… #vibewithlovable
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Finally I’m trying out OpenClaw this week! I saw video of Nvidia’s Jenson Hwang Nemoclaw last week. Since the popularity of Openclaw in January - I was looking for secure ways to install Openclaw and found NVIDIA Nemoclaw is good secure alternative 1/2
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I’m now learning a bit deeper into the installation of Openclaw this week. Have any of you tried Openclaw or any flavours of it? What is the major use case, you’re using openclaw for? Comment here. 2/2
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I’m Saravanan, Founder of @cloudenginelabs Starting today, I’m planning to become more active on X. I’ll be sharing practical insights from my work across DevOps automation, cloud architecture, security, AI-assisted development, and building applications that can scale. 🙏
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