batching

What problem does it solve?

This Skill addresses the issue of request overhead dominating the actual useful work in applications, leading to low throughput and high latency.

Core Features & Use Cases

• Batching: Group work into batches to amortize overhead, increasing throughput and reducing tail latency.
• Use Case: For example, instead of inserting 10k single-row inserts per second, batch them into 1000 rows and process in batches of 1000 for higher throughput.

Quick Start

Implement batching in your system by using a Batcher that flushes when the buffer size reaches a threshold or the time window elapses.