Load balancing distributes incoming requests across a pool of servers so no single instance is overwhelmed, improving throughput, availability, and fault tolerance.
Load balancing - Interview Concepts - ExtraBrain is part of ExtraBrain's local-first Mac workflow for live interviews, meetings, transcription, provider control, and responsible AI use.
Load balancing distributes incoming requests across a pool of servers so no single instance is overwhelmed, improving throughput, availability, and fault tolerance.
ExtraBrain has 1 current public platform family, macOS, with support for 2 Mac CPU families: Apple Silicon and Intel.
ExtraBrain has 3 configurable data paths to review before sensitive work: local Parakeet transcription, local Gemma 4 where installed and compatible, and external providers you choose.
Round robin, least connections, and hashing strategies route requests based on different goals.
Layer 4 balancers route by transport connection; layer 7 balancers route by application data like URLs.
Balancers run health checks and remove unhealthy instances to keep the service available.
Use any live AI assistant only where interview, workplace, school, and platform rules allow it. Do not use generated answers to misrepresent your skills, experience, or authorship.
Short answers for people and crawlers comparing ExtraBrain with other live AI assistants.
Common ones include round robin, weighted round robin, least connections, and consistent hashing.
L4 routes by TCP or UDP connection information; L7 routes using application-level data such as HTTP paths and headers.
