Distributed Systems Design¶
Insights on Site Reliability Engineering and Distributed Systems from a Professional SRE Engineer with over 10 years of experience in designing and implementing Kubernetes-native applications in multi-cloud environments.
About¶
Senior Site Reliability Engineer with Software engineering background and 11+ years of experience architecting, deploying and scaling business-critical systems in hybrid-cloud environments, both on-prem and public (GCP, AWS). I've spent 8+ years at Vimeo enhancing platform reliability and performance of large-scale cloud-native applications. I was instrumental in migrating on-premises data center services to the cloud and adopting Kubernetes as the core orchestration platform, supporting business growth through high-availability system design, robust observability frameworks, and performance optimization at scale.
My professional work with Linux systems started 20 years ago, when I cross-compiled kernel modules for ARM-based embedded linux, and the learning continues as I study how Istio would complement Cilium in Kubernetes Control Plane V2.
Expertise¶
Site Reliability Engineering¶
- Kubernetes clusters at scale
- Observability (metrics, logs, traces)
- SLOs, SLIs, and error budgets
- Incident response and retrospectives
- Capacity planning and load testing
- GitOps and Continuous Integration and Continuous Delivery
Distributed Systems¶
- Distributed databases and consistency models
- Service mesh and microservices patterns
- Global Load balancing
- Distributed caching
- Consensus protocols (Raft, Paxos)
- Event-driven architectures
- CAP theorem trade-offs in practice
Technical Skills¶
- Languages: Python, Go, Bash
- Cloud: AWS, GCP, Kubernetes
- Databases: PostgreSQL, MySQL, Redis, Kafka
- Tools: Prometheus, Grafana, Terraform, ArgoCD, Varnish