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Case Study · Nife Kernel
AI / ML

Xcloud

Cloud-to-Cloud Failover for LLM Workloads
Xcloud is a private cloud provider hosting LLM workloads that needed a seamless, automated failover mechanism to AWS to ensure business continuity without manual intervention during outages.
private cloud
LLM workloads
cloud-to-cloud failover
The problem
Challenges

Xcloud's private cloud lacked a native failover mechanism, making any infrastructure disruption a direct service outage for their AI customers.

No built-in failover solution meant any disruption caused direct customer-facing downtime.

Even minor outages impacted critical AI inference services with no automatic recovery.

Hybrid resiliency with AWS was required to ensure business continuity during failures.

What we did
Solution

Nife Kernel implemented automated cloud-to-cloud failover between Xcloud's private cloud and AWS, with real-time health monitoring and zero-intervention traffic rerouting.

Cross-Cloud Redundancy: Failover-ready system connecting Xcloud's private cloud with AWS as secondary backup.

Automated Failover Routing: Traffic rerouted to AWS automatically on any Xcloud disruption.

Real-Time Health Monitoring: Continuous monitoring with instant detection and failover — no human intervention needed.

The outcome
Results
Zero

Downtime during failures

Failover completed automatically with no customer-facing impact.
Seamless

Private-to-AWS failover

Traffic rerouted to AWS within seconds of detecting a disruption.
Continuous

LLM availability

AI inference workloads remained available throughout all failover events.

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