I'm a DevOps & Kubernetes Engineer passionate about building scalable, reliable, and energy-efficient cloud infrastructure. I love working with Python for automation and Rust for high-performance tooling, while orchestrating containerized applications at scale.
"With the current climate changes, it's the developer's duty to build lightweight and energy efficient software."
Currently: Designing and managing Kubernetes clusters • Building CI/CD pipelines • Automating infrastructure with Python • Exploring Rust for DevOps tooling
- Kubernetes Orchestration - Multi-cluster management and scaling
- CI/CD Pipelines - Automated deployment and testing workflows
- Infrastructure Monitoring - Observability and alerting systems
- Python Automation - Infrastructure as Code and tooling
- Rust DevOps Tools - High-performance CLI utilities and services
- Security & Compliance - Container security and policy enforcement
Production-ready Kubernetes infrastructure with GitOps workflows
- Multi-cluster Setup: Development, staging, and production environments
- GitOps with ArgoCD: Automated deployment and synchronization
- Complete Observability: Prometheus, Grafana, and ELK stack
- Security Hardened: Pod Security Standards and Network Policies
Tech Stack: Kubernetes, Terraform, ArgoCD, Python, Helm
Python-based automation scripts for infrastructure management
- Infrastructure Automation: AWS/GCP resource provisioning
- Monitoring Setup: Automated Grafana dashboard deployment
- Security Scanning: Container and infrastructure vulnerability checks
- CI/CD Templates: Reusable GitHub Actions and GitLab CI workflows
Tech Stack: Python, Terraform, Ansible, Docker, GitHub Actions
A blazingly fast, modern webmail client built with Rust
- Ultra-Fast Performance: Batch IMAP fetching with UID-based lookups
- Modern UI: Roundcube-inspired responsive design
- Secure: TLS/SSL encryption for all operations
- Cloud-Ready: Containerized with Kubernetes manifests
Tech Stack: Rust, Actix-web, PostgreSQL, Docker, Kubernetes
Custom Kubernetes operator written in Rust for application lifecycle management
- High Performance: Memory-efficient operator with minimal resource usage
- Automated Scaling: Custom resource definitions for intelligent autoscaling
- Built-in Monitoring: Prometheus metrics and health checks
- Production Ready: Comprehensive error handling and logging
Tech Stack: Rust, Kubernetes API, Custom Resources, Prometheus
- Building: Cloud-native applications on Kubernetes
- Automating: CI/CD pipelines with GitOps practices
- Developing: Python tools for infrastructure automation
- Exploring: Rust for high-performance DevOps tooling
- Implementing: Comprehensive observability and monitoring
- Securing: Container security and compliance automation
- Learning: Service mesh technologies and advanced networking
I believe in infrastructure that is:
- Cloud-Native - Designed for scalability and resilience
- Automated - Infrastructure as Code and GitOps workflows
- Observable - Comprehensive monitoring and alerting
- Secure - Security built-in from the ground up
- Sustainable - Energy-efficient and cost-optimized
- Fast - High-performance tooling and minimal overhead
- Telegram: @d_serg
- Email: drobit.github@gmail.com
- GitHub: @drobit
- UpWork: Serhii D.
