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deepanshub9/readme.md

Deepanshu Banner

Hi 👋, I'm Deepanshu Bhardwaj

Next-Gen SRE | Cloud Engineer | AI-Driven DevOps

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🚀 The Future of Operations

"I don't just build pipelines; I engineer intelligent, self-healing cloud ecosystems."

The landscape of technology is shifting from manual deployments to AI-assisted automation and Zero-Trust architectures. My engineering philosophy focuses on building robust infrastructure that anticipates failures and scales seamlessly. If a task requires human intervention twice, it gets automated.

  • 🤖 AIOps & Automation: Leveraging machine learning concepts to predict and resolve infrastructure bottlenecks.
  • ☁️ Multi-Cloud Mastery: Architecting resilient, high-availability environments across AWS, Azure, and GCP.
  • 🛡️ DevSecOps First: Integrating shift-left security to ensure compliance and protection at the code-commit level.
  • Site Reliability (SRE): Obsessed with reducing toil, optimizing MTTR (Mean Time To Recovery), and protecting the SLA.

🛠️ Enterprise Technology Stack

Here is the core arsenal I use to build, secure, and scale modern applications.

☁️ Cloud & Edge Infrastructure ☸️ Container Intelligence
🔄 Automation & GitOps pipelines 📊 Advanced Observability
💻 Coding & Core Systems 🗄️ Data & Event Streaming

📈 Engineering Impact & Activity

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GitHub Streak


🔬 What I am Exploring for 2026 & Beyond

To stay ahead of the curve, I actively research and implement bleeding-edge technologies:

  • 🧠 AI in DevOps: Integrating Large Language Models (LLMs) into CI/CD pipelines for automated code review and security patching.
  • eBPF (Extended Berkeley Packet Filter): Unlocking deep-kernel observability for microservices without modifying application code.
  • 💸 FinOps: Building automated cost-control governance to optimize massive cloud architectures natively.

🤝 Let's Build Something Massive

I am always open to discussing Cloud Migrations, SRE Strategies, or Open Source Innovations. Whether you want to talk about Kubernetes scaling or how AI is reshaping infrastructure, my inbox is open.

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  1. Kubernetes-starter Kubernetes-starter Public

    Those who just start learning Kubernetes they can learn k8s from this repo.

  2. two-tier-flask-app two-tier-flask-app Public

    Forked from LondheShubham153/two-tier-flask-app

    Python Flask application deployed via three different methods. First Kubernetes then HELM lastly on AWS EKS cluster. Which have frontend, backend, and MySQL database.

    Python 1