Live DevOps Portfolio Instance

Kunal

DevOps Engineer | Cloud Engineer | Automation Builder

Building scalable systems, automating everything.

I design cloud infrastructure, container platforms, and release pipelines that keep systems reliable while making delivery faster for teams.

terraform applykubectl rollout statusgh workflow run deploygrafana dashboards

View Projects Contact Me Download Resume

IaC-first environments with reusable Terraform modules

Containerized deployments across EKS, ECS, and Linux workloads

Observability built into delivery, not added later

System Telemetry

Premium engineering identity with cloud-native execution.

Stable

Cloud Foundation

AWS-first architecture

Release Strategy

CI/CD with guardrails

Operations

Metrics, logs, uptime

Command Stack

AWSEKSTerraformDockerPrometheusLinux

Deployment Flow

SourceCommit

BuildContainerize

ReleaseObserve

About

Engineering systems that stay calm under pressure

I treat DevOps as a systems discipline: cloud architecture, runtime consistency, and automation that removes fragile manual steps.

I focus on hands-on infrastructure work across AWS, Terraform, Linux, containers, and delivery pipelines. The goal is not just to provision resources, but to create a platform that is easier to operate, safer to change, and easier for teams to trust.

My strongest interest sits where automation, scalability, and reliability meet. That means infrastructure as code, repeatable deployments, clear observability, and environments that behave predictably from day one.

AWSTerraformContainersReliabilityAutomation

Infrastructure over theory

I prefer building working platforms, pipelines, and recovery paths over collecting purely conceptual knowledge.

Automation mindset

If a process repeats, I look for a safer, scripted, versioned path that reduces manual drift.

Reliability as identity

My best work sits between developer speed and operational stability, where tooling should support both.

Skills

Cloud, automation, observability

A stack shaped around modern infrastructure delivery: repeatability, containerized runtime, safe releases, and operational visibility.

Cloud

Active

Production-minded AWS building blocks for resilient environments.

AWSEKSEC2S3RDSVPC

Containers

Active

Portable runtimes and orchestration for service-based systems.

DockerKubernetesHelmContainer Networking

Infrastructure as Code

Active

Repeatable provisioning with reviewable changes and environment parity.

TerraformRemote StateModule DesignSecrets Strategy

CI/CD

Active

Fast, observable delivery pipelines with approval and rollback patterns.

GitHub ActionsJenkinsArtifact FlowRelease Gates

Monitoring

Active

Operational visibility across metrics, alerts, and dashboards.

PrometheusGrafanaAlertingSLO Thinking

Operating Systems

Active

Linux-first workflows for automation, troubleshooting, and runtime control.

LinuxShell ScriptingSystemdNetwork Debugging

Terminal Snapshot

Delivery pipeline mindset, represented as an execution trail.

$ terraform plan && docker build . && gh workflow run deploy && kubectl rollout status

Projects

Infrastructure projects with real deployment intent

Each project is framed around operational outcomes: reusable foundations, safer releases, container readiness, and clearer runtime behavior.

01Project

AWS EKS Cluster Setup

Provisioned a scalable Kubernetes control plane on AWS with node groups, ingress, and secure network boundaries for service deployment.

AWSEKSTerraformKubernetes

Impact

Multi-environment cluster baseline with repeatable provisioning.

View repository

02Project

Terraform Infrastructure Suite

Built a reusable Terraform stack for VPC, public and private subnets, bastion access, and managed database resources with environment separation.

TerraformAWSRDSVPC

Impact

Versioned infrastructure foundation with reduced config drift.

View repository

03Project

CI/CD Pipeline Implementation

Automated test, build, image publishing, and deployment stages with rollback-aware workflows and observable status checks.

GitHub ActionsJenkinsDockerAWS

Impact

Faster release cadence and fewer manual deployment steps.

View repository

04Project

ECS Microservices Deployment

Containerized application services and deployed them behind a managed AWS runtime with secure networking, autoscaling, and health checks.

AWS ECSDockerALBCloudWatch

Impact

Operationally simple microservice rollout path for smaller teams.

View repository

Journey

A progression from systems fundamentals to delivery automation

The path has been practical: Linux basics, AWS labs, infrastructure as code, container orchestration, then CI/CD and observability.

Phase 01

Linux and networking groundwork

Started with command-line administration, process control, file systems, and the network behavior that later shaped infrastructure decisions.

LinuxShellTCP/IP

Phase 02

Cloud and AWS hands-on labs

Moved from static local setups to AWS labs focused on EC2, S3, IAM, VPC design, and the tradeoffs between convenience and control.

AWSIAMVPC

Phase 03

Infrastructure as code and containers

Shifted into Terraform modules, Dockerized workloads, and Kubernetes concepts to remove configuration drift and standardize runtime behavior.

TerraformDockerKubernetes

Phase 04

Delivery automation and observability

Built CI/CD pipelines and monitoring dashboards so deployment velocity and system insight improved together instead of competing.

GitHub ActionsPrometheusGrafana

Contact

Bring cloud, platform, or automation work into focus

For infrastructure builds, delivery pipelines, or platform-oriented collaboration, use the links below or send a message directly.

Direct Channels

kunalbora2202@gmail.com

Open

linkedin.com/in/kunnnaaaaaal

Open

GitHub

github.com/kunnnal

Open

Response Mode

Best fit for project discussions around AWS, container platforms, Terraform foundations, deployment automation, and monitoring strategy.

Start a conversation

Keep it brief and concrete. Problem statement, stack, and current friction points are enough to start.