Practical Graph Algorithms for Real-World Services
Large systems look messy up close - queues, caches, RPCs, retries - but from a distance they are just graphs. Components act as vertices, each one representing a distinct unit of computation or state. Edges trace the directional interactions that bind them together - RPC calls, dependency lookups, message flows, data pipelines. Weights enrich those edges with the operational constraints that shape system behavior: typical and tail latencies, retry overhead, throughput limits, and failure probabilities. When we adopt this lens, operational questions reduce to graph questions and the right algorithm becomes a matter of fit - anchored to concrete costs and guarantees.
Three recurring decisions shape real-world performance:
In the full article
What it covers
- Example System
- Reachability with Breadth-First Search
- Dependency Ordering with Topological Sort
- Minimum-Cost Path with Dijkstra
- When to Use Bellman–Ford
- Key Takeaways
The full article is on Bliztek, LLC Blog, my web development company's blog. This page is the summary.
- Read time
- 8 min
- Sections
- 6
