How I build microservices (in Java).

Open source IaC Automation and Collaboration Software.

Eclipse plugin that provides syntax highlighing support for additional languages.

The goal of the BC Wildfire Service (BCWS) Prevention Program is to reduce the negative impacts of wildfire on public safety, property, the environment and the economy using the seven disciplines of the FireSmart program.

SimpleReport is a fast, free, and easy way for COVID-19 testing facilities to report results to public health departments.

Full-stack website scorer platform built using Java-Spring Boot and React; deployed to AWS using Terraform; including Jenkins CI/CD.

Metadatamanagement (MDM) - Data Search for Higher Education Research and Science Studies

This project is a modern, microservices-based e-commerce platform for a grocery application, built with Java and Spring Boot. It features a suite of services for managing products, shopping carts, and orders. The architecture is designed for scalability and resilience, with each service operating independently with its own PostgreSQL database.

Финальный проект 3-го семестра Магистратуры DevOps в ITMO University.

🚀 Secure Multi-Environment Deployment Manager – Automates provisioning, deployment, and rollback across dev, staging, and prod with Terraform, Kubernetes, and CI/CD

A Multi-tier Retail Sore Application to demonstrate Kubernetes To Production with EKS + Terraform & GitOps With ArgoCD & GitHub Actions

🚀 Cloud-native code collaboration platform with real-time code execution on AWS

A Private Terraform Registry

Containerized a Java-Spring Boot-React fullstack app, I Have a Question with Docker and deployed to AWS EKS. AWS infrastructure created using Terraform: VPC, RDS PostgreSQL DB, EKS cluster, Load Balancer Controller, ECR. Application deployed with Kubernetes manifest files.

Ligoj plugin for provisioning : design and execution with Terraform

A test project to look at Spring Web and Spring Data with JPA.

Spring Boot Starter for Terraform

My Jarvis is an Alexa skill that can remember and recall memories from users, providing more contextual answers. It utilizes the Redis Agent Memory Server as a memory layer to provide instant-like responses, making your Alexa device appear more human-like in conversation.