Glossary
High Availability
System design ensuring AI agents remain operational and accessible with minimal downtime, typically 99.9% uptime or higher.
What is High Availability?
High availability architectures eliminate single points of failure through redundancy, automated failover, and fault tolerance. For agent systems, this includes deploying across multiple availability zones, load balancing requests across instances, maintaining hot standby replicas, and implementing health checking with automatic replacement of failed components.
Achieving high availability requires careful design of every system layer from network infrastructure through model serving. Considerations include database replication, stateless agent design enabling easy instance replacement, circuit breakers preventing cascade failures, and comprehensive monitoring with automated incident response. The cost and complexity of high availability must be balanced against business requirements for uptime.
Example
A trading agent runs with three active instances across different cloud regions, with load balancing distributing requests. When one instance fails health checks due to a network issue, the load balancer automatically routes all traffic to healthy instances while orchestration spins up a replacement, maintaining uninterrupted service.
How Signet addresses this
Signet's Reliability dimension directly measures uptime and availability. Agents demonstrating 99.9% or higher availability with quick recovery from failures achieve top reliability scores. Frequent outages or slow incident response significantly reduce trust scores.
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