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Hemanth Kumar's Projects

2048-in-react icon 2048-in-react

:joystick: a 2048 clone built with React and Typescript. Including Animations!

awsstats icon awsstats

A tool for EC2 efficiency analysis based on Cloudwatch log

beautiful-jekyll icon beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

chaos-lemur icon chaos-lemur

An adaptation of the Chaos Monkey concept to BOSH releases

ckad-exercises icon ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

data-on-eks icon data-on-eks

DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS

jpetstore-6 icon jpetstore-6

A web application built on top of MyBatis 3, Spring 3 and Stripes

microservice-security icon microservice-security

This is one of my projects under Udacity's Cloud Native Application Architecture Nanodegree. In this project, I have applied what I learned about STRIDE to threat model a microservices environment. Then, I defined its security architecture and its attack surfaces. Next, I hardened the application's Docker environment using Docker-bench. I also created an RKE cluster and walked through a testing methodology to harden a Kubernetes cluster. I then hardened and deployed a Flask application after identifying and remediating its vulnerable libraries and code using Grype and Trivy. Afterward, I implemented runtime monitoring using Grafana to visualize runtime security alerts via Sysdig Falco. I ran an unknown payload containing malicious commands into the Kubernetes cluster to simulate a security incident. Then, I remediated the incident, documented, and prepared an incident response report to be submitted to a Chief Technology Officer—describing the incident, its impact, and the remediation steps taken.

observability icon observability

This is one of my projects under Udacity's Cloud Native Application Architecture Nanodegree. In this project, I created dashboards that use multiple graphs to monitor a sample application deployed on a Kubernetes cluster. I used Prometheus, Jaeger, and Grafana to monitor, trace and visualize the needed metrics. First, I installed Helm, Jaeger, Grafana, and Prometheus in a Kubernetes cluster—ensuring that all pods and services are running for all the components. Then, I wrote service level indicator (SLI) metrics and built a dashboard to measure the KPIs. I added Jaeger spans to measure the processes on the backend of the Flask application and then integrated Jaeger's collected metric to the Grafana dashboard. Lastly, I created a dashboard containing graphs that capture all the metrics of the KPIs that adequately represented the SLIs and SLOs.

pcf-paasify icon pcf-paasify

Opinionated Terraform scripts for installing Pivotal Application Service (PCF) end-to-end

pcfup icon pcfup

A handy tool to semi-automatically upgrade Pivotal Cloud Foundry

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