Cloud Load Balancing

Cloud Load Balancing

Route global users to the healthiest region, then balance each request across local server pools with health checks, policy, and failover visible in one governed delivery path.

Route Globally, Balance Locally, Recover Fast

Global Server Load Balancer

Requests are routed to the healthiest region using geography and performance signals, so users land on the best available entry point before any local balancing starts.

Local Server Load Balancer

Inside the selected region, traffic is distributed across healthy origin pools using policy such as round robin or IP stickiness to keep latency stable and origin utilisation predictable.

Real-time Analytics and Monitoring

Health state, balancing behaviour, and failover outcomes remain visible so teams can confirm delivery continuity and tune routing with production evidence.

Route Each User to the Healthiest Region First

Peakhour evaluates regional health and connection performance before forwarding traffic, so each request enters the platform through a region that can serve it reliably.

This keeps global delivery resilient when one region degrades and supports multi-region architectures without relying on manual DNS switching.

Global server load balancing diagram showing Peakhour health and geography policy routing users to Sydney, Singapore, or US origins with failover.

Balance Across Local Origin Pools and Fail Over Cleanly

After regional selection, requests are distributed across healthy local servers with policy that matches your application behaviour and session requirements.

Unhealthy nodes are removed from rotation automatically, so failover occurs inside the same governed request path rather than as a separate emergency process. Round robin allocates requests across available servers, while IP stickiness preserves session consistency when it matters.

Local server load balancing diagram showing a selected region distributing requests across healthy application servers while failed nodes are removed from rotation.
Operational Evidence

Dashboard Evidence Validates Routing and Failover Decisions

The diagram explains control flow; dashboard telemetry confirms it in production. Teams can validate regional distribution, local balancing behaviour, and failover response without turning screenshots into the story itself.

1

Failover view: Verify that traffic stayed on healthy paths during disruption.

2

Policy tuning: Adjust global and local balancing with production evidence.

Load balancing dashboard showing global traffic distribution and regional health outcomes.
Global routing evidence
Local server load balancing dashboard showing origin pool routing and balancing policy.
Origin balancing policy
Regional distributionSee traffic by region
Origin availabilityConfirm node status

Empower Your Traffic Distribution

Peakhour's Load Balancer provides cutting-edge solutions tailored to your needs, whether through Global Server Load Balancer for wider reach and geo-selection or Local Server Load Balancer for focused and efficient traffic management within specific locations.

Load balancing control summary showing GSLB policy, regional health, local balancing, and protected origin capacity.

Relevant information from our blog

Feature in Focus: Multi-Origin Load Balancing

Feature in Focus: Multi-Origin Load Balancing

Websites with a global audience need more than just a traditional CDN. They need geographic multi origin load balancing.

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Consistent Hash with bounded loads

Consistent Hash with bounded loads

An enhancement over basic consistent hashing, bounded-load hashing ensures a more balanced distribution of keys across servers.

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Locality Sensitive Hashing

Locality Sensitive Hashing

An overview of Locality Sensitive Hashing and its application in load balancing and caching in Content Delivery Networks.

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