CLOUD / DEVOPS ENGINEERING

I build systems that ship. and stay observable.

I’m Keval Lad — focused on building practical cloud-native solutions with AWS, Linux, Docker, Kubernetes, Terraform and automated CI/CD. This portfolio shows the engineering path behind a real project, from code to production observability.

$git push → test → build → scan → deploy → observe
⚡ Explore the Project ↳ See the Architecture
03AWS Certifications
01Cloud-Native Platform
∞Continuous Learning
CLOUD NATIVE / CONTROL PLANE
LIVE
Current workload
cloud-native-test-platform
✓ deployment 2/2 available
✓ health endpoint 200 OK
✓ rollout verified
Runtime
EKS / AWS
ECR image
OIDC access
Terraform infra
CloudWatch telemetry
CODE
BUILD
ECR
EKS
OBSERVE
LIVE ENGINEERING SIGNAL

Built to ship.
Built to stay visible.

A live-style snapshot of what happens after a change leaves the developer's machine: automated validation, container delivery, Kubernetes runtime health and production observability.

SYSTEM HEALTHY · ALL SIGNALS NOMINAL
cloud-native / release intelligence
00:00:00 IST
Latest release
9e168c6 ● VERIFIED
Runtime
ClusterEKSREADY
Pods2 / 2HEALTHY
Health/health200
Delivery telemetry
CI / BUILD / SCAN / PUSH / ROLLOUT
Security & access
IdentityOIDCSHORT-LIVED
ImageTrivySCANNED
RecoveryRollbackREADY
Activity stream
Deployment rollout verified — 2/2 available
CloudWatch application telemetry received
GitHub Actions delivery workflow completed
CONTROL PLANE · AWS / EKS / ECR / CLOUDWATCH OBSERVABILITY ACTIVE
01 / About Me

Get to know me better

A portfolio built around practical cloud engineering, automation and continuous learning.

Hi, I'm Keval Lad. I'm focused on cloud and DevOps engineering, with a practical approach to learning by building. I enjoy working with AWS, Linux, Docker, Kubernetes, Terraform and CI/CD to turn infrastructure and application requirements into repeatable cloud-native workflows.

My current portfolio project demonstrates the full path from application code and containerization through AWS infrastructure, EKS deployment, GitHub Actions automation, security controls, rollback and CloudWatch observability.

LinkedIn Github
“Build, learn, improve, repeat. Cloud is not just technology; it's an opportunity to create impact.”

Quick Facts

⌁
FocusCloud • DevOps • Automation
◇
Core PlatformAWS
⌘
EngineeringPython • Bash • YAML • Infrastructure as Code
◈
Current ProjectCloud Native Test Platform
↗
ApproachHands-on, automated and evidence-driven
02 / Certifications

AWS Certifications

SAA
AWS Certified Solutions Architect – Associate
COMPLETED
AI
AWS Certified AI Practitioner
COMPLETED
CCP
AWS Certified Cloud Practitioner
COMPLETED
03 / Featured Project

Cloud Native Test Platform

An end-to-end cloud-native platform demonstrating application delivery, infrastructure automation, deployment safety and observability.

keval@cloud-native-test-platform ~ $
$ git push origin feature/change
✓ CI tests passed
✓ Docker image built
✓ Trivy scan completed
→ OIDC → AWS ECR
→ EKS deployment
✓ rollout status: successful
✓ /health: 200 OK

deployment: 2/2 available

From commit to observable workload

FastAPI application with health endpoint
Docker image built and scanned in CI
GitHub Actions → AWS using OIDC
SHA-tagged image pushed to Amazon ECR
Deployment to Amazon EKS with rollout verification
Automatic rollback on failed rollout
CloudWatch Container Insights and application logs
Terraform-managed AWS infrastructure
View Source on GitHub ↗
AWSEKSECRTerraformDockerGitHub ActionsCloudWatch
04 / Architecture

Infrastructure as a delivery system

LIVE SYSTEM FLOW

From commit to observability.

PIPELINE ACTIVE
Commit
Build
Test
Deploy
Monitor
Commit pushed to main

Implemented AWS architecture

CI/CD, AWS networking, Amazon EKS, Terraform and CloudWatch observability.

View full size
Cloud Native Test Platform architecture infographic showing GitHub Actions CI/CD with Pytest, Docker and Trivy, Amazon ECR, Amazon EKS with two FastAPI replicas and a ClusterIP service, Terraform infrastructure provisioning, and CloudWatch with Container Insights, logs and alarms.

The diagram is provided as a responsive image so the labels remain legible on larger screens; use “View full size” to inspect the details.

05 / Tech Stack

Tools behind the project

AWS AWSCloud
Kubernetes KubernetesEKS
Terraform TerraformIaC
Docker DockerContainers
Python PythonFastAPI
GitHub Actions GitHub ActionsCI/CD
Amazon CloudWatch CloudWatchObservability
Linux LinuxWSL
Bash BashAutomation
Amazon ECR ECRRegistry
Amazon VPC VPCNetworking
Trivy TrivyScanning
06 / Evidence

Engineering evidence

Click any screenshot to view the actual implementation in full size. These are real project screenshots, not mockups.

AWS VPC architectureVPC & networking
Amazon ECRContainer registry & image management
Amazon EKS workloadsRunning application pods
CI/CD end-to-end successGitHub Actions delivery pipeline
Automatic rollbackDeployment recovery validation
CloudWatch dashboardContainer monitoring & observability
CloudWatch application logsReal workload log events
Container InsightsPod and cluster metrics
CloudWatch alarmsOperational alerting
07 / Contact

Let's build something cloud-native.

Interested in cloud engineering, DevOps, automation or infrastructure? Connect with me through LinkedIn or explore the project on GitHub.

LinkedIn GH Project Repository