Skip to content

Ruchan Yalçın

πŸ“ Istanbul, Turkey
Contact With Me: πŸ“§ [email protected]

πŸ”§ Technical Qualifications

  • Programming Languages: Python, Shell Scripting, Go, C, C#
  • Database Technologies: PostgreSQL, Redis, MongoDB, InfluxDB
  • Storage and Backup Systems: Portworx, Barman, Velero, Longhorn
  • Operating Systems: Linux (Arch, CentOS, Kali, Raspbian)
  • Network Tools: Wireshark, tcpdump, nmap, netcat
  • IoT Platforms: Raspberry Pi, Arduino
  • Cloud Systems and Tools: AWS, Kubernetes, GitLabCI/Jenkins, Docker, Terraform, Ansible, Git, Harbor, Rancher
  • Monitoring Tools: Grafana, Prometheus, EFK
  • Web Technologies: Nginx, Django
  • Languages: English (B2)

πŸ’Ό Work Experiences

Basistek - (2 Year 8 Months)

  • Jr. DevOps Engineer (June 2024 – Present)
    • Set up, configure, and maintain on-premise Kubernetes environments for customers.
  • Part-Time Jr. DevOps Engineer (September 2022 – June 2024)
    • Maintained Kubernetes clusters and optimized infrastructure deployment.

Yalova University - (1 Year 1 Months)

  • Part-Time Researcher (August 2021 – September 2022)
    • Web application containerization and deployment on Linux servers.
    • Server hardening with IPtables and Arch Linux configuration.

πŸŽ“ Education

  • Yalova University, Computer Engineering (%30 English) (2019 - Current)

πŸ’‘ Latest Projects

High Availability Kubernetes Cluster Setup for Customers

This project involved designing and deploying a highly available Kubernetes cluster for customer applications. After setting up the base Kubernetes environment, a Harbor private registry was installed for image management. PostgreSQL was chosen as the application database, and Barman was configured for database disaster recovery and point-in-time recovery. Ansible Playbooks were developed to automate repetitive setup steps. For storage orchestration, Rook was deployed to manage Ceph distributed storage across the cluster. The system was monitored using Prometheus and Grafana, ensuring proactive issue detection and resource optimization.

  • Technologies: Kubernetes, PostgreSQL, Grafana, Prometheus, Harbor, Ansible, Barman

Distributed Smart City Application on Edge Devices

In this research project, a hybrid Cloud and Edge Computing solution was developed to monitor air quality across Yalova University campus. Raspberry Pi 4 devices equipped with temperature and humidity sensors collected environmental data. Applications ran in Docker containers on the edge devices, and K3S lightweight Kubernetes was deployed to manage workloads. Data collected from sensors were transmitted to a central server powered by Jetson Nano devices. A web interface was built to display the air quality metrics, and Ganglia was used to monitor energy consumption, network usage, and system performance, enabling a comparison between pure cloud and hybrid cloud-edge architectures.

  • Technologies: Kubernetes, Docker, Raspbian, MariaDB, Nginx, Ganglia
  • GitHub: Project Repository
  • Blog Post: Link

On-Premise Password Management System

A secure, self-hosted password management system was implemented using Passbolt, running inside Docker containers with an external PostgreSQL database. Backup strategies were established by configuring Rclone to automate daily uploads of database snapshots and configuration files to Google Drive, using scheduled cron jobs. User guides were prepared and end-user training sessions were conducted to ensure proper system adoption and security practices.

πŸ“… Activities

  • Department Representative, Yalova University Computer Engineering (Sep 2021 - May 2023)
  • Cyber Awareness Instructor (Nov 2020 - Dec 2021)

πŸ‘€ References

  • Burak KayrancΔ±oğlu
    DevOps Engineer, Trendyol
    πŸ“§ [email protected]

  • Dr. Yunus Γ–zen
    Assistant Professor, Yalova University Computer Engineering
    πŸ“§ [email protected]