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Dynamic DNS Optimization

Manually configuring DDNS providers is suboptimal. Instead, automate rebalancing with an automated rebalancing service.

Solution

Dynamic DNS Optimization

Harper

at Harper

April 4, 2025

Harper

at Harper

April 4, 2025

Harper

at Harper

April 4, 2025

April 4, 2025

Manually configuring DDNS providers is suboptimal. Instead, automate rebalancing with an automated rebalancing service.

Harper

Suboptimal CDN utilization erodes profitability and hinders user experience. Traditional DNS load balancing methods like round-robin and least-connected fail to account for dynamic network conditions and cost optimization.

Better Experience, Lower Costs

Harper's Dynamic DNS Optimization is a distributed service that makes use of your CDN contract data, current CDN usage, and network performance to optimize traffic distribution across CDNs. By continuously monitoring CDN health, latency, and capacity, our system dynamically adjusts traffic distribution weights to improve user experience, lower costs, and inform CDN renewal commitments.

Add powerful DDNS rebalancing automation to your tech stack.

Getting Started

Ready to optimize your CDN investment and enhance user experience? Contact us to discuss your specific requirements and explore implementation options.

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Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Suboptimal CDN utilization erodes profitability and hinders user experience. Traditional DNS load balancing methods like round-robin and least-connected fail to account for dynamic network conditions and cost optimization.

Better Experience, Lower Costs

Harper's Dynamic DNS Optimization is a distributed service that makes use of your CDN contract data, current CDN usage, and network performance to optimize traffic distribution across CDNs. By continuously monitoring CDN health, latency, and capacity, our system dynamically adjusts traffic distribution weights to improve user experience, lower costs, and inform CDN renewal commitments.

Add powerful DDNS rebalancing automation to your tech stack.

Getting Started

Ready to optimize your CDN investment and enhance user experience? Contact us to discuss your specific requirements and explore implementation options.

‍

Manually configuring DDNS providers is suboptimal. Instead, automate rebalancing with an automated rebalancing service.

Download

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Manually configuring DDNS providers is suboptimal. Instead, automate rebalancing with an automated rebalancing service.

Download

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Manually configuring DDNS providers is suboptimal. Instead, automate rebalancing with an automated rebalancing service.

Download

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Explore Recent Resources

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.

News

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.

Aleks Haugom

Senior Manager of GTM

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.

Harper Recognized as an Honorable Mention in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms

Harper’s inclusion highlights a broader shift toward integrated cloud-native platforms that unify data, caching, messaging, and application logic. The article explains how Harper’s distributed runtime and managed infrastructure reduce operational complexity, improve performance, and support modern applications and AI agents that require fast, reliable access to state, events, and tools.

How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

Blog

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

Austin Akers

Head of Developer Relations

How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

News

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Aleks Haugom

Senior Manager of GTM

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Blog

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Aleks Haugom

Senior Manager of GTM

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Tutorial

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Kris Zyp

SVP of Engineering

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Comparison

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Harper

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

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