Open to Cloud & DevOps Roles

Hi, I'm Kerthik S

I build Cloud Infrastructure |

DevOps Engineering professional and M.Sc. Data Science graduate skilled in automated AWS resource discovery, infrastructure-as-code (Terraform), Docker containerization, CI/CD pipelines, and enterprise-grade observability with Prometheus & Grafana.

View My Work Live Cloud Audit Demo
Chennai, Tamil Nadu, India
github.com/kerthikdev
kerthik@aws-cloud-node:~
BASH v5.2
# Initializing DevOps environment...
kerthik@cloud-node:~$ whoami
Kerthik S - Cloud Infrastructure & Automation Engineer
kerthik@cloud-node:~$ aws --version
aws-cli/2.15.0 Python/3.11.4 Linux/x86_64
kerthik@cloud-node:~$ cat metrics_summary.json
{
  "backup_automation": "80% workload reduction",
  "ec2_provision_time": "15m -> <5m (66% faster)",
  "ami_setup_reduction": "60% setup reduction",
  "audit_rules": "20+ AWS security/cost rules"
}
kerthik@cloud-node:~$ type 'help' below for commands
kerthik@cloud-node:~$
0%
Manual Backup Ops Reduced
AWS SDK & JS Snapshot Automation
< 5 mins
EC2 Provisioning Time
Down from 15 mins via Bash User Data
0+
AWS Resources Audited
ScoutSuite, Steampipe & Boto3 scans
0+
Audit & Cost Rules
Rule engine detecting cloud risks
> CORE ARCHITECTURE

About & Focus Areas

Combining solid Computer Science fundamentals with Master's-level Data Science expertise to build scalable, secure, and cost-effective cloud systems.

Cloud Infrastructure & AWS

Architecting and managing AWS core resources (EC2, S3, IAM, VPC, EBS, RDS, Elastic IPs, Load Balancers) with automated snapshot policies and infrastructure drift compliance.

AWS EC2/S3/VPC IAM Governance AWS SDK

Infrastructure as Code & CI/CD

Writing reproducible Terraform manifests for cloud provisioning, Docker containerization, custom AMI creation, and GitHub Actions workflow automation.

Terraform Docker GitHub Actions Bash Scripting

Observability & Monitoring

Building real-time telemetry dashboards using Prometheus for metric collection and Grafana for visual dashboards, monitoring 20+ key system & app metrics.

Prometheus Grafana ScoutSuite Steampipe

Data Science & Automation Engines

Combining Boto3 python automation engines, FastAPI microservices, and Data Science methodology to audit cloud costs, detect unused resources, and predict risks.

Python / Boto3 FastAPI PostgreSQL Data Analytics
> WORK HISTORY

Professional Experience

DevOps Engineering Intern

SentinelFox • Chennai, India
Nov. 2023 – Jan. 2024
  • AWS Backup Automation (80% Efficiency Gain): Engineered JavaScript automation scripts using the AWS SDK to schedule automated snapshot backups for 20+ Amazon EC2 instances, reducing manual snapshot management and overhead by ~80%.
  • Cloud Security Assessments: Conducted comprehensive security reviews across 50+ AWS resources using ScoutSuite and Steampipe, identifying critical IAM misconfigurations, open S3 buckets, EC2 risks, and networking compliance gaps.
  • Server Provisioning Automation (15m → <5m): Authored 10+ Bash automation scripts for Amazon EC2 User Data to automate repository cloning from GitHub, dependency installations, and service startup, cutting server provisioning times by 66%.
  • Custom AMI Management: Built and maintained 2+ hardened Amazon Machine Images (AMIs) with pre-configured software dependencies, accelerating environment setup by 60% across deployment pipelines.
  • Technical Documentation & Blogging: Authored a 2-part technical blog series: "Unlocking Performance Insights: Prometheus + Grafana for MERN Stack Applications", covering metrics scraping, exporter setup, and custom dashboard visualization.
⚡ 80% Manual Backup Reduction
🚀 15m → <5m Provisioning Time
🔒 50+ Resources Audited
AWS SDK JavaScript Bash ScoutSuite Steampipe AMIs Prometheus Grafana
> FEATURED ENGINEERING

Projects Showcase

Featured cloud platform architecture and security/cost optimization systems.

Personal Project

Cloud Resource Audit & Cost Optimization Platform

Automated Cloud Governance, Security Audit & Cost Reduction Suite for AWS

A comprehensive multi-region cloud governance platform designed to continuously discover, audit, and optimize AWS resources across 7+ core services including EC2, EBS, S3, IAM, RDS, Elastic IPs, and Load Balancers.

Automated Boto3 Discovery Engine: Scans & inspects 20+ AWS resources across multi-region infrastructure.
20+ Security & Cost Rules: Flags unattached EBS volumes, unassociated Elastic IPs, public S3 buckets, and risky IAM policies.
Terraform & Docker Ready: Full IaC manifests for AWS provisioning, GitHub Actions CI/CD, and containerized React/FastAPI stack.
Real-time Telemetry: Integrated Prometheus & Grafana monitoring 20+ infrastructure performance metrics.
Python FastAPI React PostgreSQL AWS / Boto3 Docker Terraform Kubernetes Prometheus Grafana
System Architecture Flow
💻 React Frontend
➔
⚡ FastAPI Engine
➔
☁️ AWS Services (Boto3)
🗄️ PostgreSQL
📊 Prometheus + Grafana
🏗️ Terraform + K8s
INTERACTIVE SIMULATION

Live AWS Audit & Cost Optimization Engine

Simulate Kerthik's Boto3 rule engine inspecting AWS cloud resources in real-time.

SCAN EXECUTION LOG Ready to scan
[INFO] Click "Run Audit Scan" to trigger Boto3 resource evaluation engine.
0
AWS Resources Scanned
0
Risks & Waste Detected
$0/mo
Potential Monthly Savings
> PUBLICATIONS & TECHNICAL WRITING

Observability & Monitoring Insights

2-PART TECHNICAL BLOG SERIES By Kerthik S

Unlocking Performance Insights: Prometheus + Grafana for MERN Stack Applications

A deep dive into monitoring modern application stacks. Details architecture setup, metric scrapers, Node.js express Prometheus client integration, custom Grafana query dashboards, and configuring critical performance alert thresholds.

Prometheus Architecture Grafana Dashboards Node.js Metrics Scrapers Alertmanager
> TECHNICAL STACK

Skills & Infrastructure Ecosystem

☁️

AWS Services

EC2, S3, IAM, VPC, ECS, ECR, CloudWatch, EBS, RDS, Elastic IPs, Load Balancers.

🏗️

Terraform & IaC

HCL infrastructure declarations, modular manifests, automated state management.

🐳

Docker & Kubernetes

Containerization, multi-stage builds, Docker Compose, Kubernetes pod orchestration.

⚙️

GitHub Actions & CI/CD

Automated build, test, and deployment workflows, GitHub secret management.

🐧

Linux & Networking

Bash scripting, EC2 User Data automation, SSH, TCP/IP, Nginx reverse proxy.

📊

Prometheus & Grafana

Telemetry collection, custom metrics exporters, real-time visual dashboards & alerts.

🔒

ScoutSuite & Steampipe

Automated AWS security auditing, compliance scans, SQL-like infrastructure queries.

🛠️

Dev Tools & Agile

Git version control, VS Code, Jira issue tracking, AWS SDK for JS & Python.

🐍

Python & Boto3

Automated AWS SDK scripts, backend automation engines, data processing algorithms.

⚡

FastAPI & REST APIs

High-performance async Python backend endpoints, OpenAPI docs, system integration.

🌐

JavaScript & React

AWS SDK for Node.js, modern React component UI building, dynamic dashboards.

🗄️

PostgreSQL & Databases

Relational database design, query optimization, AWS RDS deployment.

> ACADEMIC BACKGROUND

Education & Qualifications

2024 – 2026
🎓

Master of Science in Data Science

Periyar University
Salem, Tamil Nadu, India

Advanced focus on statistical modeling, data analytics engines, automated data pipelines, machine learning logic, and big data management.

2019 – 2023
🏛️

Bachelor of Engineering in Computer Science and Engineering

Government College of Engineering, Dharmapuri
Dharmapuri, Tamil Nadu, India

Strong foundation in Computer Networks, Operating Systems, Cloud Architecture, Data Structures & Algorithms, and Software Engineering.

> GET IN TOUCH

Contact & Social Links

Interested in discussing DevOps engineering, cloud security, or data opportunities?

Contact Information

Feel free to reach out directly via email, phone, or GitHub.

Email kerthikdev@gmail.com
Phone +91 8610303751
GitHub Profile github.com/kerthikdev
Location Chennai, Tamil Nadu, India

Send a Message

kerthik@interactive-devops-shell:~
=== Kerthik S DevOps Interactive CLI Terminal ===
Type 'help' to see available commands or 'exit' to close.

kerthik@cloud-shell:~$

Unlocking Performance Insights: Prometheus + Grafana for MERN Stack Applications

2-PART TECHNICAL BLOG SERIES SUMMARY

Part 1: Instrumentation & Metric Scraping Architecture

Explores integrating prom-client into Node.js Express microservices to collect default process metrics (CPU load, memory heap, event loop lag) and custom application metrics (HTTP request counts, route response latency histogram, DB query execution time).

Part 2: Grafana Visual Dashboards & Alerting Rules

Walks through configuring Prometheus scrape targets, writing PromQL queries for 95th percentile latency calculations, and crafting production-grade Grafana dashboards with visual alerts triggered via Slack and PagerDuty webhooks.

Key Takeaway: Demonstrates practical end-to-end monitoring setup that reduced metric visibility gaps across application layers and cut MTTR (Mean Time to Resolution).
Copied to clipboard!