# Reducing Vespa Ranking-Feature Latency During Frequent Data Redistribution

DevFeed: [Reducing Vespa Ranking-Feature Latency During Frequent Data Redistribution](<https://devfeed.tech/articles/teaching-the-old-dog-a-new-trick-20439.md>)

Original publisher: [Read original article](<https://vinted.engineering//2025/11/06/vespa-match-features/>)

Author: Dainius Jocas

Published: 2025-11-06T00:00:00Z

Content type: article

Language: en

Sources: [Vinted](<https://devfeed.tech/sources/vinted.md>)

Topics: [Latency](<https://devfeed.tech/topics/latency.md>), [Redis](<https://devfeed.tech/topics/redis.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [data](<https://devfeed.tech/tags/data.md>), [latency](<https://devfeed.tech/tags/latency.md>), [logs](<https://devfeed.tech/tags/logs.md>), [network](<https://devfeed.tech/tags/network.md>), [redis](<https://devfeed.tech/tags/redis.md>)

## AI overview

Vinted describes using Vespa to store and retrieve ranking features after Redis became a bottleneck, then investigating p99 latency spikes after large feeding bursts. The article focuses on a Vespa optimization for data that is frequently redistributed.

## Source excerpt

TL:DR: When required data can be encoded with match-features, Vespa can apply a new optimisation, which can be a lifesaver when data is frequently redistributed.