Name : Anshu Sharma
Role : Aspiring Cloud & DevOps Engineer
Location : New Delhi, India 🇮🇳
Background : Commerce and Operations → Cloud and DevOps (Career Pivot)
Focus : AWS · Terraform · Jenkins · Docker · Ansible · Kubernetes
Learning : Python · Boto3 · Helm · Azure
Current : CloudCart Production-Style DevOps Platform
Goal : Cloud/DevOps internship, trainee or junior position
Mindset : Automate first. Build real. Document everything.I am a self-driven professional transitioning from a commerce and operations background into Cloud and DevOps engineering. My approach is practical and portfolio-first — every concept I learn gets translated into a hands-on project on GitHub. I build infrastructure, automate deployments, troubleshoot failures and document what I learn.
- ☁️ Hands-on experience with AWS services including EC2, VPC, IAM, S3, Route53, ELB, Auto Scaling, RDS, CloudWatch, Lambda, SQS, SNS, ECR and EKS
- 🌍 Provisioning infrastructure through reusable Terraform code
- 🔄 Automating deployments with Jenkins CI/CD pipelines
- 🐳 Packaging applications with Docker and pushing to Amazon ECR
- ☸️ Deploying and troubleshooting Kubernetes workloads (kubeadm and EKS)
- ⚙️ Configuring Linux servers with Ansible
- 🐍 Currently learning Python and Boto3 for AWS automation
- 📝 Publishing screenshots, architecture diagrams, troubleshooting notes and cleanup instructions
┌──────────────────────────────────────────┐
│ BUILD → AUTOMATE → SECURE → SHIP │
└──────────────────────────────────────────┘
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🏆 Flagship Project A production-style delivery platform built in sequential phases. Implemented:
In progress: Helm, GitOps and monitoring. |
📌 Flagship Reference Repo A structured, phase-based repository containing practical projects and evidence. Highlights:
|
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An end-to-end AWS deployment workflow using separate Jenkins and application servers. Technologies:
Highlights:
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An AWS automation lab covering infrastructure provisioning, configuration and CI/CD. Experience demonstrated:
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A three-server AWS environment with Jenkins, testing and production systems. Workflow:
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A four-instance AWS environment containing Jenkins and a kubeadm Kubernetes cluster. Architecture:
|
flowchart LR
A["Plan"] --> B["Build"]
B --> C["Validate"]
C --> D["Secure"]
D --> E["Deploy"]
E --> F["Monitor"]
F --> G["Document"]
G --> H["Clean Up"]
style A fill:#F7971E,stroke:#333,color:#000
style B fill:#2496ED,stroke:#333,color:#fff
style C fill:#844FBA,stroke:#333,color:#fff
style D fill:#EE0000,stroke:#333,color:#fff
style E fill:#326CE5,stroke:#333,color:#fff
style F fill:#0F1689,stroke:#333,color:#fff
style G fill:#D24939,stroke:#333,color:#fff
style H fill:#4EAA25,stroke:#333,color:#fff
Infrastructure as Code → Configuration → CI/CD → Containers → Kubernetes → Observability
Physical Infrastructure
↓
Virtual Machines
↓
Cloud Infrastructure (AWS)
↓
Infrastructure as Code (Terraform)
↓
Configuration Management (Ansible)
↓
CI/CD Pipelines (Jenkins)
↓
Containers (Docker)
↓
Container Orchestration (Kubernetes)
↓
Monitoring and Observability
↓
Cloud Native Platforms
| Area | Evidence |
|---|---|
| Terraform | Eight structured phases covering EC2, VPC, remote state, modules and environments |
| Jenkins | Seven phases covering freestyle jobs, pipelines, webhooks, Docker and deployments |
| AWS | Hands-on work with EC2, VPC, IAM, S3, ECR, load balancing, Auto Scaling and EKS |
| Kubernetes | kubeadm and EKS clusters, Deployments, Services, probes and troubleshooting |
| Docker | 6+ containerization projects, image builds and registry pushes to ECR |
| Ansible | 3+ configuration management projects across multi-server environments |
| Troubleshooting | Documented pipeline, SSH, Docker, Terraform state and Kubernetes incidents |
| Documentation | README files, screenshots, architecture, expected results and cleanup guidance |
⚙️ The metrics card above is a static SVG generated by
.github/workflows/metrics.yml, which commitsgithub-metrics.svgto theoutputbranch on a schedule. This avoids the live-API rate-limit errors the Vercel-hosted cards can hit. See setup notes below if the image doesn't appear yet.Activity statistics provide context, but the working code and evidence inside the featured projects are the main portfolio.
⚙️ To activate the snake: Go to your repo → Actions tab → Enable workflows → Run the
Generate Snakeaction. Setup guide here →
✔ 20+ AWS Hands-On Labs Completed ✔ 8+ Terraform Projects Completed ✔ 6+ Docker Projects Completed ✔ 4+ Jenkins Projects Completed ✔ 3+ Ansible Projects Completed ✔ Multiple Kubernetes Deployments Completed ✔ 10+ Projects Published on GitHub ✔ Every project documented with README files, screenshots and troubleshooting notes
PHASE 1 — Cloud Foundations ██████████████████████ ✅ COMPLETE
├── ✅ Linux Fundamentals & Bash Scripting
├── ✅ AWS Core Services (EC2, S3, VPC, IAM, ELB)
├── ✅ AWS Hands-on Projects (EC2, S3, VPC, Load Balancer)
└── 🚧 Python and Boto3 for AWS automation
PHASE 2 — DevOps Toolchain ██████████████████████ ✅ COMPLETE
├── ✅ Docker & Containerization
├── ✅ Jenkins CI/CD Pipelines
├── ✅ Terraform (Infrastructure as Code)
├── ✅ Ansible (Configuration Management)
└── ✅ Kubernetes (Container Orchestration)
PHASE 3 — CloudCart Platform ██████████████████░░░░ 🚧 IN PROGRESS
├── ✅ CloudCart Phases 1–7
├── 🚧 Helm Packaging
├── 🔜 Argo CD GitOps
├── 🔜 Prometheus and Grafana
└── 🔜 Security and Failure Testing
PHASE 4 — Certification & Mastery ░░░░░░░░░░░░░░░░░░░░░░ 🔜 UPCOMING
├── 📗 AWS Certified Solutions Architect – Associate
├── 🔷 Microsoft Azure Administration (AZ-104)
├── ☸️ Certified Kubernetes Administrator (CKA)
└── 📊 Prometheus and Grafana Monitoring
- 📘 Preparing for AWS Certified Solutions Architect – Associate
- 🔷 Learning Microsoft Azure administration and AZ-104 concepts
- ☸️ Developing deeper Kubernetes and Helm skills
- 📊 Moving toward monitoring, observability and security automation
Currently building production-style projects around:
Infrastructure as Code → CI/CD Pipelines → Containers → Kubernetes → Monitoring → Cloud Native Architecture
I am currently looking for:
- 🎯 Cloud/DevOps internships
- 🎯 DevOps trainee positions
- 🎯 Junior Cloud or Infrastructure roles
- 🎯 Linux and Cloud Support opportunities
- 🎯 Practical infrastructure collaborations
💼 Open to DevOps internships, entry-level Cloud roles, and collaboration on infrastructure projects.
⭐ If you find my work useful, consider giving a star to any repo — it keeps me motivated!
╔══════════════════════════════════════════════════════════╗
║ ║
║ "Build it. Break it. Fix it. Document it." ║
║ ║
║ Automate what's repetitive. ║
║ Document what's complex. ║
║ Ship what's real. ║
║ ║
╚══════════════════════════════════════════════════════════╝
This profile is a living record of my journey from learner to professional Cloud & DevOps Engineer.