Load balancing
Distributing automation workloads across multiple servers or instances to prevent overload. In high-volume scenarios processing 10,000 form submissions load balancing ensures no single server becomes the bottleneck.
Expert insight
Load balancing across multiple automation instances or API keys helps avoid a single rate limit ceiling, but it also multiplies the places a credential can leak or expire, each instance needs its own monitoring, not just the aggregate system, or a single failed instance can silently drop a portion of traffic while the overall system appears healthy.
In a real workflow
Requests are spread across several workers so no single one is overloaded.
Common mistakes
- Sticky sessions that defeat the balancing.
- No health checks on workers.
Complexity level
Technical term used in production automation systems.
Related terms
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