Deterministic Routing: The Hidden Key to Low Latency
📰 Hackernoon
Learn how deterministic routing can reduce latency and improve throughput in high-throughput systems using a two-layer strategy with Istio and CockroachDB
Action Steps
- Implement Istio consistentHash on primary key for Layer 1 routing
- Configure CockroachDB client for leaseholder routing with zone configs and follower reads for Layer 2 routing
- Test and measure the impact of deterministic routing on latency and throughput
- Optimize the routing strategy based on production results
- Compare the performance of deterministic routing with random routing
Who Needs to Know This
DevOps and software engineering teams can benefit from this approach to improve the performance and scalability of their systems
Key Insight
💡 Deterministic routing can significantly improve the performance and scalability of high-throughput systems by reducing tail latency and improving cache locality
Share This
🚀 Reduce latency by 29% and increase throughput by 2.1× with deterministic routing! 🚀
Key Takeaways
Learn how deterministic routing can reduce latency and improve throughput in high-throughput systems using a two-layer strategy with Istio and CockroachDB
Full Article
Random routing scatters requests, kills cache locality, and inflates tail latency in high-throughput systems. We fixed it using a clean two-layer deterministic routing strategy: Layer 1 (Ingress): Istio consistentHash on primary key → same entity always lands on the same app pod Layer 2 (App → DB): CockroachDB client handles leaseholder routing with zone configs and follower reads Production results (>1600 TPS): • 29% P95 latency reduction • 2.1× throughput on same infrastructure • 42% faster fa
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