Passionate About Cloud Excellence
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 built for scale and resilience
Infrastructure as Code
Terraform, CloudFormation & Pulumi for consistent deployments
CI/CD Pipelines
Jenkins, GitHub Actions & GitLab CI automated workflows
Monitoring & Observability
Prometheus, Grafana & CloudWatch full-stack visibility
Technical Skills
Technologies I work with daily to build production-grade systems
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 baked in from day one.
Kubernetes & EKS
Deploy and manage production Kubernetes clusters with auto-scaling, monitoring, and GitOps workflows for seamless operations.
Terraform Automation
Infrastructure as Code with modular, reusable Terraform configurations for consistent, repeatable deployments across environments.
CI/CD Pipelines
Automated build, test, and deployment pipelines using Jenkins, GitHub Actions, and GitLab CI that ship faster with zero downtime.
Containerization
Dockerize applications with optimized multi-stage images, Helm charts, and container orchestration strategies for production readiness.
Monitoring & Observability
Full-stack monitoring with Prometheus, Grafana, CloudWatch, and intelligent alerting for proactive incident response.
How I Work
A structured approach to delivering infrastructure that's built to last
Discover
Deep dive into your infrastructure, codebase, and team workflows. Define scope, identify pain points, and agree on success metrics before a single line of code is written.
Architect
Design the full solution — infrastructure diagrams, tech stack decisions, cost estimates, and IaC plan. You review and approve before implementation begins.
Implement
Build with Terraform, Kubernetes, and CI/CD pipelines. All code pushed to your repo. Iterative delivery with regular check-ins and full transparency throughout.
Handover
Full documentation, runbooks, and walkthrough calls. Infrastructure delivered production-ready with monitoring dashboards, alerts configured, and your team onboarded.
Featured Projects
Real-world DevOps implementations showcasing end-to-end solutions
AI Developer Agent — Linear + GitHub + AWS Fargate
Assign a ticket. Get a PR. Zero human involvement. A production AI developer agent that reads Linear tickets, analyzes your codebase, writes production-ready code, and opens GitHub PRs — fully automated using Claude Code CLI on AWS Fargate. Three natural-language modes: Plan, Approve, and Review. No rigid commands.
- Plan mode — codebase exploration + implementation plan posted to Linear
- Approve mode — writes code, commits to feature branch, opens GitHub PR
- Review mode — @agent comment triggers structured code review or pushes fixes
- Repo auto-detection from ticket title and description — no per-ticket config
- Live: PR #882 (health check endpoint, mergeable on first run)
- Live: PR #892 — 25 files, 7 API endpoints, mirrored project conventions exactly
- ~$1/month idle · ~$0.03/ticket Fargate · ~$30–60/month at 50 tickets
- Linear OAuth App with actor=app — agent has its own bot identity
Predictive SRE Automation + AI Intelligence Platform
Production-grade serverless platform converging predictive analytics with generative AI. Self-forecasting SRE agent (85% accuracy, 2h horizon), Bedrock-powered AI chatbot for log analysis, enterprise approval workflows — all under $10/month.
- 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)
- Enterprise governance — approval workflows + full audit trails
- GitLab CI/CD — validate → plan → apply with manual gates
- <$10/month total (97% cheaper than EC2-based equivalent)
Kubernetes EKS Portfolio Platform
Production-grade Kubernetes deployment on AWS EKS with CI/CD pipeline, HPA auto-scaling, Prometheus & Grafana monitoring stack, and multi-environment namespace management.
- 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
Terraform AWS Infrastructure
Production-grade AWS infrastructure with modular Terraform architecture. VPC with multi-AZ subnets, Application Load Balancer, Auto Scaling Groups, and comprehensive IAM security policies.
- 6 Reusable Terraform Modules
- Multi-AZ VPC Architecture
- Application Load Balancer
- Auto Scaling (1–3 instances)
- Public & Private Subnets
- Security Groups & NACLs
Flask CI/CD Pipeline
Complete CI/CD demonstration using a Flask application with GitHub Actions automation. Automated Docker builds, container registry integration, health checks, and multi-cloud deployment readiness.
- Automated CI/CD Pipeline
- Docker Multi-Stage Build
- Container Health Checks
- DockerHub Registry Push
- Lightweight Python Image
- Multi-Cloud Deployment Ready
Let's Work Together
Ready to transform your infrastructure? I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.
devopswithshiv@gmail.com
shivakrishnareddy-p118
GitHub
github.com/Kalkireddy
Location
Hyderabad, India