DevopsWithShiv | Cloud & DevOps Architect

About Me

Passionate About Cloud Excellence

Transforming infrastructure challenges into automated, scalable solutions

I'm Shiv, a Cloud & DevOps Architect specializing in designing, automating, and scaling modern cloud infrastructure across AWS and Azure.

I build production-grade systems using Kubernetes, Docker, Terraform, Jenkins, Helm, and GitHub Actions — enabling teams to ship faster, safer, and with complete automation.

My work spans end-to-end DevOps: infrastructure design, CI/CD pipelines, container orchestration, monitoring with Prometheus & Grafana, cost optimization, and cloud migrations. I focus on reliability, automation, and clean architecture so businesses can grow without worrying about their infrastructure.

Cloud Architecture

AWS & Azure multi-region designs

Infrastructure as Code

Terraform, CloudFormation, Pulumi

CI/CD Pipelines

Jenkins, GitHub Actions, GitLab CI

Monitoring & Observability

Prometheus, Grafana, CloudWatch

Expertise

Technical Skills

Technologies I work with daily to build production-grade systems

Cloud & Infrastructure

AWS (EC2, EKS, VPC, IAM) 95%

Terraform 90%

Azure 80%

Linux Administration 92%

Container & Orchestration

Kubernetes / EKS 90%

Docker 95%

Helm Charts 85%

ArgoCD / GitOps 80%

CI/CD & Automation

Jenkins 88%

GitHub Actions 92%

Python Scripting 85%

Bash / Shell 90%

Monitoring & Observability

Prometheus 88%

Grafana 90%

CloudWatch 85%

ELK Stack 75%

Services

What I Can Do For You

End-to-end DevOps solutions tailored to your business needs

Cloud Architecture

Design and implement scalable, secure, and cost-effective cloud infrastructure on AWS and Azure with best practices.

Kubernetes & EKS

Deploy and manage production Kubernetes clusters with auto-scaling, monitoring, and GitOps workflows.

Terraform Automation

Infrastructure as Code with modular, reusable Terraform configurations for consistent deployments.

CI/CD Pipelines

Automated build, test, and deployment pipelines using Jenkins, GitHub Actions, and GitLab CI.

Containerization

Dockerize applications with optimized images, Helm charts, and container orchestration strategies.

Monitoring & Observability

Full-stack monitoring with Prometheus, Grafana, CloudWatch, and alerting for proactive incident response.

Portfolio

Featured Projects

Real-world DevOps implementations showcasing end-to-end solutions

AI + SRE Platform

Predictive SRE Automation + AI Intelligence Platform

Production-grade serverless platform that converges predictive analytics with generative AI to transform infrastructure operations. Features a self-forecasting SRE agent (85% accuracy, 2h horizon) powered by linear regression on CloudWatch metrics, a Bedrock-powered AI chatbot for natural language log analysis, enterprise approval workflows, and complete audit trails — all at under $10/month. Fully provisioned via Terraform, tested end-to-end, and cleanly destroyed via terraform destroy.

AWS Bedrock Lambda Terraform EventBridge DynamoDB API Gateway Python CloudWatch S3 SNS

Predictive EC2 scaling — 85% accuracy, 2h horizon

AI log analysis via AWS Bedrock (Claude / Nova Pro)

90% LLM cost reduction via DynamoDB caching (24h TTL)

REST API via API Gateway for natural language queries

Enterprise governance — approval workflows + full audit trails

GitLab CI/CD — validate → plan → apply with manual gates

Security-first — least privilege IAM, VPC isolation, encryption

<$10/month total cost (97% cheaper than EC2-based equivalent)

Platform Architecture

EC2 + CloudWatch

SRE Agent (Predict)

Approval + DynamoDB

AI Chatbot (Bedrock)

API Gateway

View Source Code

Featured Project

Kubernetes EKS Portfolio Platform

Production-grade Kubernetes deployment on AWS EKS featuring a complete CI/CD pipeline, auto-scaling with HPA, comprehensive monitoring stack with Prometheus & Grafana, and multi-environment namespace management. This project demonstrates enterprise-level container orchestration with observability best practices.

AWS EKS Kubernetes Terraform Docker Helm Spring Boot Prometheus Grafana

EKS Cluster with VPC & IAM

ECR Private Container Registry

Horizontal Pod Autoscaler (HPA)

Production Namespace (prod)

Health Probes & Readiness Checks

LoadBalancer Service Exposure

Prometheus Metrics Collection

Grafana Dashboards & Alerts

CI/CD Pipeline Architecture

Developer

GitHub

Build & Push

ECR

EKS Deploy

Monitor

View Source Code

Production Ready

Terraform AWS Infrastructure

Production-grade AWS infrastructure built using Terraform with modular architecture. Features VPC with multi-AZ subnets, Application Load Balancer, Auto Scaling Groups, Launch Templates, and comprehensive IAM security policies. Designed for high availability and scalability with infrastructure versioning.

Terraform AWS VPC ALB ASG EC2 IAM Cloudflare

6 Reusable Terraform Modules

Multi-AZ VPC Architecture

Application Load Balancer

Auto Scaling (1-3 instances)

Public & Private Subnets

Security Groups & NACLs

View Source Code

CI/CD Demo

Flask CI/CD Pipeline

A complete CI/CD demonstration using a Flask application with GitHub Actions automation. Features automated Docker builds, container registry integration, health checks, and multi-cloud deployment readiness. Perfect showcase of application-level DevOps workflows.

Python Flask Docker GitHub Actions DockerHub

Automated CI/CD Pipeline

Docker Multi-Stage Build

Container Health Checks

DockerHub Registry Push

Lightweight Python Image

Multi-Cloud Deployment Ready

View Source Code

Contact

Let's Work Together

Ready to transform your infrastructure? Let's discuss your project

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.

Email

devopswithshiv@gmail.com

LinkedIn

shivakrishnareddy-p118

GitHub

github.com/Kalkireddy

Location

Hyderabad, India

Available for Freelance / Remote

Ready to Start Your Project?

Whether you need cloud architecture, CI/CD pipelines, or Kubernetes deployments, I'm here to help you build scalable, automated infrastructure.

Send Message