Projects
Scalable, Secure Infrastructure on AWS
Goal:
To design and implement a scalable, secure, and highly available infrastructure on AWS, leveraging best practices for VPC setup, application load balancing, auto scaling, monitoring, and security hardening.
Solution:
The solution involved creating a custom VPC with segregated public and private subnets, setting up an Application Load Balancer (ALB) with host-based routing, and configuring Auto Scaling Groups (ASG) for dynamic scaling based on demand. Security was enforced using security groups, NACLs, a Bastion host for SSH access, and a Web Application Firewall (WAF) with custom rules. Read More.. >>
Reliable and Scalable Email Delivery System on AWS ECS Fargate
Goal
The goal of this project was to set up a reliable and scalable email delivery system using Amazon SES and Postfix, integrated into a containerized environment running on AWS ECS Fargate. The objective was to create a solution that enables sending emails securely from a containerized application while also hosting a static website, all within a fully managed, serverless infrastructure.
Solution
The solution involved several AWS services and technologies:
- Dockerized Postfix Setup: A custom Docker image was created with Postfix configured to send emails using Amazon SES. The container was designed with an entry point script that dynamically updates the container’s IP address in the Postfix configuration to ensure correct email routing. Read More .. >>
Highly Available FTP Solution on Oracle Cloud Infrastructure (OCI)
Goal
The goal of this project was to design and implement a highly available, scalable FTP solution in Oracle Cloud Infrastructure (OCI). The solution aims to provide secure, isolated file storage using ProFTPD for FTP access, with file data stored on a shared NFS server. The setup includes automatic scaling to handle traffic fluctuations and monitoring of the entire infrastructure using Prometheus and Grafana.
Solution
The solution involves the following key components:
- ProFTPD Setup: Two ProFTPD servers were deployed on OCI instances. These servers provide FTP access to clients, allowing them to upload and download files. Each ProFTPD server is configured to authenticate users via virtual users, with directory-level permissions to restrict access to specific directories Read More .. >>
Dockerizing Tahoe-LAFS for Secure Node Communication
Goal
The goal of this project was to dockerize Tahoe-LAFS nodes and create a WireGuard private network between all nodes, even if they are on different networks. This setup allowed nodes to securely share files over the network while ensuring that the files are encrypted and divided into small parts, with no single node having full control of the data. The objective was to provide a secure and scalable file-sharing solution where nodes could be easily started and stopped as needed.
Solution
The solution involved the following steps:
- Dockerizing Tahoe-LAFS Nodes:
- Each Tahoe-LAFS node was containerized using Docker, ensuring isolation, easy deployment, and portability across different environments Read More .. >>
Medusa Dockerized Stack
Goal
The goal of this project was to Dockerize a Medusa.js application, including both the frontend and backend, as well as a PostgreSQL database. The objective was to set up a streamlined and scalable development environment using Docker, enabling easy start and stop of containers while ensuring the backend could interact with the PostgreSQL database hosted on the system.
Solution
The solution involved the following steps:
- Dockerizing the Medusa.js Application:
- Both the frontend and backend of the Medusa.js application were Dockerized into separate containers to facilitate isolation and efficient management.
- A PostgreSQL database was also Dockerized to serve as the backend database for the application.
- Using Docker Compose:
- Docker Compose was used to define and manage the multi-container setup, simplifying the orchestration of the frontend, backend, and PostgreSQL containers.
- A
docker-compose.ymlfile was created to configure the services, volumes, and networking for the containers.
- Networking and Database Access:
- The containers were configured to use the host network to ensure that the backend container could communicate with the PostgreSQL database, which was also running on the host machine.
- This setup allowed the backend to access the database on
localhostwithout any networking issues between the containers and the host. Read More .. >>
Automated WireGuard Client Onboarding with Flask and Nginx
Goal
The goal of this project was to set up Satori Neuron to communicate with a WireGuard private network between peers. The objective was to automate the process of adding new clients to the WireGuard private network, making it seamless for users to connect securely without manual configuration. To achieve this, a Flask application was created and hosted on an Nginx server, allowing clients to download their individual WireGuard configuration files from a simple webpage.
Solution
The solution involved the following steps:
- Setting Up Satori Neuron with WireGuard:
- Configured Satori Neuron to establish a secure communication channel with the WireGuard private network, ensuring encrypted peer-to-peer connections.
- Established the necessary routing and network configuration to ensure smooth communication between peers through the WireGuard network.
- Creating the Flask Application:
- A Flask web application was developed to allow clients to access a simple user interface, enabling them to download their unique WireGuard configuration file.
- The Flask application generated configuration files dynamically for each client, integrating with WireGuard’s API to provide correct settings.
- Hosting with Nginx:
- The Flask application was hosted on an Nginx server for improved performance, security, and scalability.
- Nginx was used as a reverse proxy to serve the Flask application over HTTPS, ensuring secure communication between the client and the server.
- Client Interaction:
- Clients accessed the Flask application via a web interface, where they could download their personalized WireGuard configuration file.
- Once the client downloaded the config file, they simply uploaded it to their WireGuard client, automatically connecting them to the private network. Read More .. >>
AI-Driven Predictive Analytics Platform
Goal
Your organization operates in the retail sector and wants to build a cloud-based AI-driven predictive analytics platform to improve inventory management, enhance customer experience, and optimize supply chain operations. The platform will process large volumes of structured and unstructured data collected from multiple sources, including:
- Transaction databases from various retail stores (structured data).
- Customer behavior data from the website and mobile app (semi-structured).
- Supplier data from third-party systems (structured).
- Social media sentiment data (unstructured).
- IoT sensor data from warehouses and retail outlets (real-time data streams).
The goal is to analyze this data to predict demand trends, detect supply chain bottlenecks, and personalize customer recommendations in near real-time. Read More .. >>