Systology
My knowledge base for studying systems at scale, drawing from real-world engineering and synthesized learnings across multiple domains.
func main() {
fmt.Println("Use Cmd/Ctrl+K for search 🙏")
}
My knowledge base for studying systems at scale, drawing from real-world engineering and synthesized learnings across multiple domains.
func main() {
fmt.Println("Use Cmd/Ctrl+K for search 🙏")
}
Long-form investigations, experiments, and research notes exploring projects with methodology, findings, and next steps.
A high-performance Sudoku solver implementation in Rust.
A modular version control system with unique architecture.
Comparative analysis of Beam and Flink streaming frameworks.
System-design sketches and trade-offs summarizing problem statements, constraints, and architecture options.
Reliable global payment processing system architectures.
High-concurrency inventory systems for managing traffic spikes.
Real-time aggregation systems for ad click analytics data.
Reusable rules, heuristics, and frameworks distilled from practical projects to guide system design and implementation.
Observability through metrics, logging, and trace data.
Plugin systems, stable APIs, and safe system extensions.
API design, rate limiting, retries, and modular resilience.